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JUEJUN HU: OK.

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So in this lecture, we are
going to start our discussion

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about viscoelasticity
and relaxation.

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Now, I want to mention that
this type of organization

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is uncommon in most textbooks
about glass science.

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They typically treat
viscoelasticity and relaxation

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in two completely
different sections there.

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I decided to put them
together for a few reasons.

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One is that they both occur
during the glass transition

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regime, and they have a very
similar structural origin.

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They essentially all
relate to relaxation

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of the glass structure.

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And as you also
see later, they can

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be described using identical
mathematical formalisms.

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So it helps a lot if we
develop mathematical models

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and then use it as a way
to lead to the discussion

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about relaxation kinetics.

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OK.

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OK.

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So as I mentioned,
both of these phenomena

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are characters of the
glass transition regime.

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So the glass transition
regime scientifically

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is probably the most intriguing
part about the whole glassy

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state.

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So as one example here,
what I'm showing you here,

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this is the Journal of Science
in their 125th anniversary.

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They posted the list
of 125 questions that

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summarizes some of the most
significant outstanding

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challenges in all
fields of science.

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So one of them is
about glass, and it's

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right about glass transition.

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So what it says is, "what is
the nature of the glassy state?

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Molecules in a glass
are arranged much

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like those in liquids, but
are more tightly packed.

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Where and why does liquid
end and glass begin?"

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That's glass transition.

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OK.

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So there has been
lots of advances

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in this field, obviously,
over the past 20 years

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after the question was posed.

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But suffice it to say
that this is still

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an area of very active
scientific investigation.

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In fact, I also want to quote
the physicist David Weitz from

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Harvard University,
where he says,

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"there are more theories of the
glass transition than there are

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theorists who propose them."

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So what we are going to
do in this lecture here--

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I'm actually not
going to try to take

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a deep dive into the
microstructure nature of glass

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transition.

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Instead, what I
want to do is I want

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to focus on what I
consider as a defining

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feature of glass transition
regime, which is the relaxation.

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Now, to look into relaxation,
let's step back a little bit.

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Let's take a look at this
slide, which I quoted, actually,

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from a previous lecture,
that essentially looks

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at the mechanical
characteristics,

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or rheological
characteristics, of glasses

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across different temperatures.

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We mentioned that
at low temperature,

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glasses is basically an
elastic solid, exhibit

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all the characteristics
of a solid

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that has instantaneous response,
follows Hookean's law, and such.

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At high temperature, where it
becomes a super cool liquid,

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it is obviously liquid,
so it will flow viscously,

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and it can be described more
or less as a Newtonian fluid.

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Now, if you look at
things in between,

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this is where the glass
transition comes in, OK?

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And in between
regime here, there

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will exhibit properties that
combine both solid and liquid,

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which is viscoelasticity.

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And this is also the
regime where you actually

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see significant
structural relaxation.

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So before I move on
to the next slide,

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I just want to quickly
mention one thing.

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Throughout this
entire slide deck,

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I'm using this kind of a
color coding scheme here.

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Anything that's
red is associated

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with a solid or elasticity.

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Anything that's blue is
basically the liquid or viscous

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contribution.

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OK?

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All right.

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So I made the statement
that relaxation

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is only significant in the
glass transition regime.

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Why?

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Let's see what happens if you
go through the liquid phase.

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So previously, when we were
talking about the laboratory

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definition of glass
transition, we

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said that the liquid regime
is essentially ergodic.

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All the molecules or atoms, they
have sufficiently high energy,

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they can easily move
around, and therefore, they

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can access all the possible
microscopic states.

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What that also means is
the system tends to stay

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in the "equilibrium" state, OK?

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"Equilibrium" with
the quotation marks.

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I'm going to talk
about that later.

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But the idea is that
because molecular motion is

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so efficient and so swift,
the relaxation is actually

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very, very fast.

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Any structure change is
almost instantaneous.

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That's why it tends to stay
at the state that corresponds

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to the lowest Gibbs free energy,
which is the "equilibrium"

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state, as we are
talking about here.

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So liquid, by definition, is
always in the equilibrium state.

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Now, what about solid?

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If you cool it down, then
all the atomic motion

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becomes very sluggish.

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Then kinetically,
any relaxation is

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getting inhibited despite
that, in this case,

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you have a very large
thermodynamic driving force

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towards relaxing to
the equilibrium state.

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But kinetically,
it won't happen.

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So that's why, in
the glassy state,

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you also don't see a lot
of structural relaxation.

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Right in between,
the glass transition,

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is where you have
the right condition

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to induce significant
relaxation.

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Kinetically, it is
sufficiently fast.

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It will take place during the
duration of our experiment.

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And thermodynamically, that's
also adequate driving force.

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The glass line has
already deviated

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from supercooled liquid line.

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So there is actually
thermodynamic driving force

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for such relaxation.

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So we can characterize
the significance

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of this kind of
relaxation phenomena

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by again comparing
two quantities here.

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So tau with the
subscript ie, this

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is the time scale for
structural relaxation.

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And t obs, this would be
the time of observation

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or basically the duration
of the experiment.

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So in the glass
transition regime,

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we have the two time scales
more or less are comparable.

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This is where you will see
significant relaxation.

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OK.

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Quantitatively, people
define this quantity here

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called Deborah Number--

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it's basically a ratio of
tau over the t observation.

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So it's equivalent to saying
that the Deborah number has

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to be of the order
of unity in order

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to see significant structural
relaxation, which correspond

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to glass transition regime.

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Now, you wonder where the
Deborah number, this name

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comes from?

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It's actually from the Bible.

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It basically says that
the prophetess Deborah,

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over a time period
of billions of years,

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they observed that the mountains
flowed before the Lord.

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So that's viscoelasticity.

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It essentially means that if you
give it long enough relaxation

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time, anything that
appears like a solid,

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they can exhibit some
viscoelastic response.

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So that's why people call
it the Deborah number.

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So as I mentioned,
we're going to talk

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about structural relaxation
and viscoelasticity here.

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Viscoelasticity, in itself,
is the manifestation

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of structural
relaxation in glass.

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That's the microscopic origin.

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Now, before we go to
the microscopic origin

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here, what we will
focus on is focusing

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on the mathematical
description of viscoelasticity.

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And as I said, this
will serve as the basis

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to derive the mathematical
formalism to describe

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structural relaxation.

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I have promised
you before that we

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are going to derive a
mathematical theory that

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allows you to
quantitatively predict

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what is the shape of this
curve as the glasses cool down

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and reheat up, going through
the glass transition region.

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That's what we're going to
do in this lecture here.

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OK.

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OK.

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So speaking of viscoelasticity,
what I'm introducing here

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basically is just a basic
mathematical formalism

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to describe the mechanical
properties of solids

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in a viscoelastic regime.

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You may have seen this
a little bit in 3013.

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But we will be considering
a complex shear

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modulus rather than a
pure real shear modulus,

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like elastic solids.

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And to define a complex elastic
modulus, what you would do

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is considering a stimulus that's
applied in a sinusoidal manner.

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It can be stress or strain.

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In this case, we actually choose
to apply a sinusoidally varying

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shear strain.

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OK?

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So mathematically,
you can describe

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it using a complex number.

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And if you think about
elastic response,

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it's pretty straightforward.

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You just time it with
the elastic constant.

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So what we see here
is that the stress

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from elastic response
and the strain,

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they are always in phase
with each other because

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of instantaneous response.

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Now, if it's a viscous response,
the constitutive relation,

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especially given
by this one here,

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this Newtonian flow, now, if
you take a time derivative

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with respect to the
strain here, because

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of the complex
differential, when

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you take the time
derivative, you

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pull out a factor of i omega.

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So that means,
effectively, now the stress

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differs from the strain
by a factor of i.

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There's an imaginary number
coming into play here.

00:09:42.650 --> 00:09:45.290 align:middle line:84%
The imaginary number in the
complex plane means that these

00:09:45.290 --> 00:09:51.310 align:middle line:84%
two quantities, their
phase, differ by 1/2 pi.

00:09:51.310 --> 00:09:52.990 align:middle line:84%
So therefore, there
is a phase lag

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between the stress and
the corresponding strain.

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They are out of phase if you are
looking at the viscous response.

00:10:00.550 --> 00:10:03.350 align:middle line:84%
So now, if you combine
both together, then

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phenomenologically, the
effective shear modulus

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would then contain both real
part and imaginary part,

00:10:10.950 --> 00:10:15.590 align:middle line:84%
where the real part comes
from the elastic contribution,

00:10:15.590 --> 00:10:20.330 align:middle line:84%
whereas the imaginary part comes
from the viscous contribution.

00:10:20.330 --> 00:10:23.465 align:middle line:90%


00:10:23.465 --> 00:10:26.430 align:middle line:84%
So that's why the real
part is what people call,

00:10:26.430 --> 00:10:27.610 align:middle line:90%
basically, a shear modulus.

00:10:27.610 --> 00:10:29.850 align:middle line:84%
Sometimes people also
call it a storage modulus,

00:10:29.850 --> 00:10:32.110 align:middle line:84%
because any elastic
response, you

00:10:32.110 --> 00:10:35.310 align:middle line:84%
are converting the
external force,

00:10:35.310 --> 00:10:38.750 align:middle line:84%
the energy of external force
or work done by external force,

00:10:38.750 --> 00:10:40.370 align:middle line:90%
into elastic energy.

00:10:40.370 --> 00:10:41.530 align:middle line:90%
So it's stored there.

00:10:41.530 --> 00:10:42.970 align:middle line:90%
You have elastic energy stored.

00:10:42.970 --> 00:10:47.170 align:middle line:84%
But if it's a viscous flow,
because it's internal friction,

00:10:47.170 --> 00:10:50.330 align:middle line:84%
you are moving molecules
past each other,

00:10:50.330 --> 00:10:52.410 align:middle line:84%
any work performed by
external shear force

00:10:52.410 --> 00:10:54.450 align:middle line:84%
would be dissipated
in the form of heat.

00:10:54.450 --> 00:10:55.850 align:middle line:84%
So that's why this
is also called

00:10:55.850 --> 00:10:58.770 align:middle line:84%
the loss modulus, the imaginary
part of the shear modulus.

00:10:58.770 --> 00:11:02.890 align:middle line:84%
It's also considered as a way
to dissipate mechanical work.

00:11:02.890 --> 00:11:04.690 align:middle line:90%
OK.

00:11:04.690 --> 00:11:05.190 align:middle line:90%
OK.

00:11:05.190 --> 00:11:07.250 align:middle line:84%
So that's the
high-level framework.

00:11:07.250 --> 00:11:09.770 align:middle line:84%
Now, to derive the
mathematical formalism

00:11:09.770 --> 00:11:12.490 align:middle line:84%
of how to actually
look at relaxation

00:11:12.490 --> 00:11:16.850 align:middle line:84%
phenomena in a
viscoelastic solid,

00:11:16.850 --> 00:11:21.170 align:middle line:84%
we have to introduce a couple
of phenomenological models.

00:11:21.170 --> 00:11:24.050 align:middle line:84%
Of course, Hookean spring
and Newtonian dashpot,

00:11:24.050 --> 00:11:26.210 align:middle line:84%
which I suppose you
have seen in 3013?

00:11:26.210 --> 00:11:26.770 align:middle line:90%
Yeah.

00:11:26.770 --> 00:11:29.190 align:middle line:90%
So Hookean spring-- simple.

00:11:29.190 --> 00:11:31.210 align:middle line:90%
It's strain equals stress.

00:11:31.210 --> 00:11:34.770 align:middle line:84%
Dashpot is something
characterized ideal properties

00:11:34.770 --> 00:11:37.490 align:middle line:90%
of a Newtonian fluid.

00:11:37.490 --> 00:11:39.290 align:middle line:84%
The assumption there
is that because we

00:11:39.290 --> 00:11:41.530 align:middle line:84%
are assuming linear
relations-- so practically,

00:11:41.530 --> 00:11:44.570 align:middle line:84%
we are assuming we are
operating in the linear regime.

00:11:44.570 --> 00:11:47.450 align:middle line:84%
So linear regime,
rigorously speaking,

00:11:47.450 --> 00:11:49.950 align:middle line:84%
applies only when the
strain is very small.

00:11:49.950 --> 00:11:52.410 align:middle line:84%
And so the strain rate
is also very small.

00:11:52.410 --> 00:11:53.730 align:middle line:90%
That's why things stay linear.

00:11:53.730 --> 00:11:58.110 align:middle line:84%
And as we will see later,
what's really important there

00:11:58.110 --> 00:11:59.750 align:middle line:84%
is that every time
you're introducing

00:11:59.750 --> 00:12:04.590 align:middle line:84%
one phenomenological model
containing a Newtonian dashpot,

00:12:04.590 --> 00:12:09.070 align:middle line:84%
each dashpot corresponds to
one microscopic structural

00:12:09.070 --> 00:12:11.310 align:middle line:90%
relaxation mechanism.

00:12:11.310 --> 00:12:14.390 align:middle line:84%
And so as you'll see later,
each Newtonian dashpot

00:12:14.390 --> 00:12:17.670 align:middle line:84%
is associated with one
characteristic relaxation time

00:12:17.670 --> 00:12:18.670 align:middle line:90%
scale.

00:12:18.670 --> 00:12:20.990 align:middle line:84%
So different
microscopic mechanisms

00:12:20.990 --> 00:12:22.550 align:middle line:84%
can have very
different time scales.

00:12:22.550 --> 00:12:25.430 align:middle line:84%
So for example, if you think of
polymers, when you're actually

00:12:25.430 --> 00:12:28.830 align:middle line:84%
introducing plastic deformation
or a viscoelastic deformation

00:12:28.830 --> 00:12:31.630 align:middle line:84%
in polymers, the
shape change can

00:12:31.630 --> 00:12:34.910 align:middle line:84%
be introduced by changing the
conformation of the polymer

00:12:34.910 --> 00:12:35.470 align:middle line:90%
chain.

00:12:35.470 --> 00:12:39.410 align:middle line:84%
You can have a linear chain
getting folded or twisted.

00:12:39.410 --> 00:12:43.270 align:middle line:84%
And then you can also
have, for example, bone

00:12:43.270 --> 00:12:46.190 align:middle line:84%
breaking or having some
kind of chemical reaction.

00:12:46.190 --> 00:12:48.360 align:middle line:84%
So these two have very
different time scales.

00:12:48.360 --> 00:12:50.920 align:middle line:84%
So one's reflected on the
phenomenological model

00:12:50.920 --> 00:12:53.100 align:middle line:84%
of the material in terms
of mechanical property,

00:12:53.100 --> 00:12:55.860 align:middle line:84%
is that you then need
two Newtonian dashpots

00:12:55.860 --> 00:12:58.360 align:middle line:84%
to correspond to each of these
kind of microscopic structure

00:12:58.360 --> 00:13:00.080 align:middle line:90%
relaxation mechanisms.

00:13:00.080 --> 00:13:02.500 align:middle line:90%
OK?

00:13:02.500 --> 00:13:06.520 align:middle line:84%
So now, in order to introduce
in the mathematical formulation

00:13:06.520 --> 00:13:08.120 align:middle line:84%
here, we look at a
few different ways

00:13:08.120 --> 00:13:10.560 align:middle line:84%
to assemble these
basic elements together

00:13:10.560 --> 00:13:13.100 align:middle line:84%
to describe the
viscoelastic response.

00:13:13.100 --> 00:13:14.240 align:middle line:90%
The most simple one--

00:13:14.240 --> 00:13:15.380 align:middle line:90%
Maxwell element.

00:13:15.380 --> 00:13:16.920 align:middle line:90%
Just put the two in series.

00:13:16.920 --> 00:13:18.760 align:middle line:84%
If you put them in
series, obviously,

00:13:18.760 --> 00:13:23.000 align:middle line:84%
the stress is constant
across the two elements.

00:13:23.000 --> 00:13:26.200 align:middle line:84%
But the strain is going to be
the sum of the strain that's

00:13:26.200 --> 00:13:29.520 align:middle line:84%
sustained by the
spring and the dashpot.

00:13:29.520 --> 00:13:35.520 align:middle line:84%
So now we can consider
what is its response

00:13:35.520 --> 00:13:39.660 align:middle line:84%
of the system to two kinds
of external stimuli, OK?

00:13:39.660 --> 00:13:42.320 align:middle line:84%
Constant stress versus
constant strain.

00:13:42.320 --> 00:13:45.680 align:middle line:84%
Constant stress is
relatively straightforward.

00:13:45.680 --> 00:13:48.900 align:middle line:84%
If you apply a constant
stress to a system,

00:13:48.900 --> 00:13:52.180 align:middle line:84%
because the stress is uniform
across both elements--

00:13:52.180 --> 00:13:54.300 align:middle line:84%
so same stress applied
to both elements--

00:13:54.300 --> 00:13:58.780 align:middle line:84%
the stress is going to elongate
the spring to a fixed amount

00:13:58.780 --> 00:14:00.820 align:middle line:90%
dictated by Hookean's law.

00:14:00.820 --> 00:14:04.300 align:middle line:84%
For the dashpot, a
constant stress essentially

00:14:04.300 --> 00:14:06.820 align:middle line:90%
means constant strain rate.

00:14:06.820 --> 00:14:08.640 align:middle line:84%
So if you have
constant strain rate,

00:14:08.640 --> 00:14:11.340 align:middle line:84%
it means that the
strain is going

00:14:11.340 --> 00:14:15.020 align:middle line:90%
to grow linearly over time.

00:14:15.020 --> 00:14:19.700 align:middle line:84%
So what we're seeing here,
basically, is a creep.

00:14:19.700 --> 00:14:22.020 align:middle line:84%
So this happens in lots of
cases in high temperature.

00:14:22.020 --> 00:14:23.423 align:middle line:90%
For example, lots of materials.

00:14:23.423 --> 00:14:25.340 align:middle line:84%
If you apply constant
stress, then eventually,

00:14:25.340 --> 00:14:28.700 align:middle line:84%
the material continuously
deforms slowly, OK?

00:14:28.700 --> 00:14:31.100 align:middle line:90%
So that's what happens there.

00:14:31.100 --> 00:14:34.900 align:middle line:84%
Now, what's more interesting
is actually constant strain.

00:14:34.900 --> 00:14:37.520 align:middle line:84%
This is more relevant
to relaxation there, OK?

00:14:37.520 --> 00:14:39.725 align:middle line:84%
Because constant strain
leads to stress relaxation.

00:14:39.725 --> 00:14:41.100 align:middle line:84%
So if it's constant
strain, let's

00:14:41.100 --> 00:14:43.660 align:middle line:84%
first take a look at what's
going to happen intuitively.

00:14:43.660 --> 00:14:46.340 align:middle line:84%
If you [? apply ?]
constant strain, initially,

00:14:46.340 --> 00:14:50.880 align:middle line:84%
keep in mind that a dashpot
cannot respond to strain

00:14:50.880 --> 00:14:52.640 align:middle line:90%
immediately.

00:14:52.640 --> 00:14:56.080 align:middle line:84%
It takes time to
elongate the dashpot,

00:14:56.080 --> 00:14:58.040 align:middle line:84%
because you apply
any force, you're

00:14:58.040 --> 00:15:00.320 align:middle line:84%
introducing a
finite strain rate.

00:15:00.320 --> 00:15:01.920 align:middle line:90%
It's not a finite strain.

00:15:01.920 --> 00:15:05.240 align:middle line:84%
So it takes time to build
up a strain in a dashpot.

00:15:05.240 --> 00:15:08.720 align:middle line:84%
So therefore, if you
apply a constant strain,

00:15:08.720 --> 00:15:13.080 align:middle line:84%
then, initially, all the strain
is going to get concentrated

00:15:13.080 --> 00:15:16.440 align:middle line:90%
on this Hookean spring.

00:15:16.440 --> 00:15:18.920 align:middle line:84%
But then this Hookean
spring, when it's stretched,

00:15:18.920 --> 00:15:23.440 align:middle line:84%
it's then going to
apply a stretching force

00:15:23.440 --> 00:15:28.040 align:middle line:84%
on the dashpot, which then
slowly elongates the dashpot.

00:15:28.040 --> 00:15:31.960 align:middle line:84%
And as the dashpot elongates,
because the total strain is

00:15:31.960 --> 00:15:35.720 align:middle line:84%
constant, the strain distributed
on the Hookean spring

00:15:35.720 --> 00:15:38.140 align:middle line:90%
will now decrease.

00:15:38.140 --> 00:15:40.520 align:middle line:84%
The equilibrium
state will be then

00:15:40.520 --> 00:15:42.640 align:middle line:84%
this dashpot that's
fully stretched,

00:15:42.640 --> 00:15:46.820 align:middle line:84%
but the spring now
experiences no stress.

00:15:46.820 --> 00:15:50.180 align:middle line:84%
So what we're seeing here is a
typical phenomena of relaxation.

00:15:50.180 --> 00:15:53.140 align:middle line:84%
You start out from a state
that's not in equilibrium.

00:15:53.140 --> 00:15:54.780 align:middle line:84%
The initial state
is when you have

00:15:54.780 --> 00:15:56.700 align:middle line:90%
the spring getting stretched.

00:15:56.700 --> 00:16:00.580 align:middle line:84%
The end state, this stress
completely goes away.

00:16:00.580 --> 00:16:02.560 align:middle line:84%
This will be the
equilibrium state.

00:16:02.560 --> 00:16:05.140 align:middle line:90%


00:16:05.140 --> 00:16:08.460 align:middle line:84%
So now what will be the
kinetics of this process?

00:16:08.460 --> 00:16:10.840 align:middle line:84%
So this will also be
pretty straightforward.

00:16:10.840 --> 00:16:13.680 align:middle line:84%
We can just write
the total strain.

00:16:13.680 --> 00:16:16.260 align:middle line:84%
This is the sum of
the elastic component

00:16:16.260 --> 00:16:19.340 align:middle line:90%
plus the viscous component.

00:16:19.340 --> 00:16:20.580 align:middle line:90%
OK?

00:16:20.580 --> 00:16:27.060 align:middle line:84%
So for elastic component, we
know that the stress would just

00:16:27.060 --> 00:16:32.220 align:middle line:84%
simply be G times
the epsilon E. This

00:16:32.220 --> 00:16:38.020 align:middle line:84%
would be the stress
on the whole system--

00:16:38.020 --> 00:16:39.940 align:middle line:84%
on the spring but
also the whole system.

00:16:39.940 --> 00:16:43.880 align:middle line:84%
So now this stress is also
what's driving the viscous flow

00:16:43.880 --> 00:16:45.080 align:middle line:90%
on the dashpot, yeah?

00:16:45.080 --> 00:16:50.500 align:middle line:84%
So this should also equal
to eta d epsilon v, dt.

00:16:50.500 --> 00:16:55.400 align:middle line:90%


00:16:55.400 --> 00:17:00.160 align:middle line:84%
Because epsilon v is basically
epsilon minus epsilon E,

00:17:00.160 --> 00:17:02.200 align:middle line:84%
so we can plug into
the equation here.

00:17:02.200 --> 00:17:06.659 align:middle line:84%
This becomes negative
d epsilon E, dt.

00:17:06.659 --> 00:17:10.319 align:middle line:90%


00:17:10.319 --> 00:17:15.280 align:middle line:84%
So then if you look at these
two terms here, what this says

00:17:15.280 --> 00:17:19.800 align:middle line:84%
is that the epsilon E will
have to follow an exponentially

00:17:19.800 --> 00:17:21.900 align:middle line:90%
decaying formalism.

00:17:21.900 --> 00:17:28.319 align:middle line:84%
So epsilon E, this will have to
be proportional to exponential.

00:17:28.319 --> 00:17:28.860 align:middle line:90%
Let's see.

00:17:28.860 --> 00:17:30.360 align:middle line:90%
So this will be a--

00:17:30.360 --> 00:17:31.160 align:middle line:90%
divide over here.

00:17:31.160 --> 00:17:35.160 align:middle line:90%
Negative g divided by eta.

00:17:35.160 --> 00:17:40.600 align:middle line:84%
So this would be a negative
G divided by eta, t.

00:17:40.600 --> 00:17:45.820 align:middle line:84%
So the stress would have
to decay exponentially.

00:17:45.820 --> 00:17:49.900 align:middle line:84%
And we need to determine the
specific coefficients of this

00:17:49.900 --> 00:17:52.700 align:middle line:84%
by looking at the boundary
condition where, in this case,

00:17:52.700 --> 00:17:56.820 align:middle line:84%
is the added stress,
initially, when t equals 0,

00:17:56.820 --> 00:18:00.180 align:middle line:90%
it has to equals to the strain.

00:18:00.180 --> 00:18:01.360 align:middle line:90%
All the strain is sustained.

00:18:01.360 --> 00:18:02.110 align:middle line:90%
Sorry, the strain.

00:18:02.110 --> 00:18:05.160 align:middle line:84%
All the strain is sustained
by the Hookean spring.

00:18:05.160 --> 00:18:07.580 align:middle line:84%
So that's why, initially,
it has to equal epsilon.

00:18:07.580 --> 00:18:12.820 align:middle line:84%
Over time, when t goes to
infinity, it decays to 0, OK?

00:18:12.820 --> 00:18:17.420 align:middle line:84%
We can now also introduce in
this quantity here tau, which

00:18:17.420 --> 00:18:24.740 align:middle line:84%
would be our relaxation time
for this particular system

00:18:24.740 --> 00:18:27.340 align:middle line:84%
as eta divided by
G. Then this one

00:18:27.340 --> 00:18:35.180 align:middle line:84%
becomes epsilon exponential
negative t divided by tau.

00:18:35.180 --> 00:18:36.620 align:middle line:90%
OK?

00:18:36.620 --> 00:18:39.528 align:middle line:84%
So we use a single
exponential to describe

00:18:39.528 --> 00:18:41.320 align:middle line:84%
this kind of relaxation
kinetics if there's

00:18:41.320 --> 00:18:46.120 align:middle line:84%
only one relaxation mechanism
involved in the material.

00:18:46.120 --> 00:18:48.920 align:middle line:84%
OK, every relaxation
mechanism corresponds

00:18:48.920 --> 00:18:51.920 align:middle line:90%
to one relaxation time scale.

00:18:51.920 --> 00:18:53.400 align:middle line:84%
Now, we can also
further manipulate

00:18:53.400 --> 00:18:55.440 align:middle line:90%
this equation a little bit, OK?

00:18:55.440 --> 00:18:59.120 align:middle line:84%
So what's the driving
force for this relaxation?

00:18:59.120 --> 00:19:01.120 align:middle line:84%
The driving force
for this relaxation

00:19:01.120 --> 00:19:02.880 align:middle line:90%
is actually internal stress.

00:19:02.880 --> 00:19:06.060 align:middle line:84%
It's a stress that's
sustained by the spring.

00:19:06.060 --> 00:19:07.960 align:middle line:84%
This is what's
stretching the dashpot,

00:19:07.960 --> 00:19:10.680 align:middle line:84%
eventually leading to relaxation
there, OK, to a deformation

00:19:10.680 --> 00:19:11.560 align:middle line:90%
relaxation.

00:19:11.560 --> 00:19:17.400 align:middle line:84%
So we can write the kinetics
here in the form of--

00:19:17.400 --> 00:19:19.840 align:middle line:90%
I mean, we can also write sigma.

00:19:19.840 --> 00:19:23.640 align:middle line:84%
This will also equal
to epsilon divided

00:19:23.640 --> 00:19:27.600 align:middle line:84%
by g, this starting state, and
then it exponentially decays.

00:19:27.600 --> 00:19:30.280 align:middle line:84%
We can write the
relaxation kinetics also

00:19:30.280 --> 00:19:34.220 align:middle line:84%
in the form of the
driving force there.

00:19:34.220 --> 00:19:41.540 align:middle line:90%


00:19:41.540 --> 00:19:45.340 align:middle line:90%
So this is our epsilon E--

00:19:45.340 --> 00:19:46.800 align:middle line:90%
this is our stress here.

00:19:46.800 --> 00:19:50.540 align:middle line:90%


00:19:50.540 --> 00:19:52.780 align:middle line:84%
So if you look at how
the stress-- let's

00:19:52.780 --> 00:19:54.520 align:middle line:90%
look at the relaxation rate.

00:19:54.520 --> 00:19:56.780 align:middle line:90%
So d sigma, dt--

00:19:56.780 --> 00:20:01.260 align:middle line:90%
how the stress decays over time.

00:20:01.260 --> 00:20:02.680 align:middle line:90%
It's complex exponential.

00:20:02.680 --> 00:20:04.347 align:middle line:84%
So it's actually
pretty straightforward.

00:20:04.347 --> 00:20:09.600 align:middle line:84%
It's actually negative
tau, 1 over, sigma.

00:20:09.600 --> 00:20:12.957 align:middle line:90%


00:20:12.957 --> 00:20:14.540 align:middle line:84%
Now, this is actually
a very important

00:20:14.540 --> 00:20:16.020 align:middle line:90%
mathematical formalism.

00:20:16.020 --> 00:20:18.980 align:middle line:84%
When we are assuming that
we have a single exponential

00:20:18.980 --> 00:20:23.700 align:middle line:84%
of decay there, what we are
basically assuming implicitly

00:20:23.700 --> 00:20:28.060 align:middle line:84%
is that the kinetics
of relaxation scale

00:20:28.060 --> 00:20:35.340 align:middle line:84%
linearly with the driving force,
which makes intuitive sense.

00:20:35.340 --> 00:20:37.140 align:middle line:84%
The larger the driving
force, the faster

00:20:37.140 --> 00:20:40.380 align:middle line:84%
the relaxation kinetics, the
faster the rate of change.

00:20:40.380 --> 00:20:43.080 align:middle line:90%


00:20:43.080 --> 00:20:45.380 align:middle line:84%
Now, this is the
same formalism we

00:20:45.380 --> 00:20:46.880 align:middle line:84%
are going to use
later on when we're

00:20:46.880 --> 00:20:49.200 align:middle line:84%
deriving the structural
relaxation in glass materials.

00:20:49.200 --> 00:20:51.520 align:middle line:84%
If assuming a single
relaxation mechanism,

00:20:51.520 --> 00:20:54.960 align:middle line:84%
rate proportional to
the driving force.

00:20:54.960 --> 00:20:55.460 align:middle line:90%
OK.

00:20:55.460 --> 00:20:58.400 align:middle line:90%


00:20:58.400 --> 00:20:58.900 align:middle line:90%
All right.

00:20:58.900 --> 00:21:00.040 align:middle line:84%
That's sort of
the key conclusion

00:21:00.040 --> 00:21:02.220 align:middle line:84%
I wanted to come to there,
that particular equation.

00:21:02.220 --> 00:21:04.240 align:middle line:84%
So I'm going to leave
it on the board.

00:21:04.240 --> 00:21:05.660 align:middle line:90%
We will be using it later.

00:21:05.660 --> 00:21:06.160 align:middle line:90%
OK?

00:21:06.160 --> 00:21:10.600 align:middle line:90%


00:21:10.600 --> 00:21:11.220 align:middle line:90%
All right.

00:21:11.220 --> 00:21:17.440 align:middle line:84%
So then the rest I can just
very quickly go over it.

00:21:17.440 --> 00:21:19.460 align:middle line:84%
In addition to this kind
of a constant strain,

00:21:19.460 --> 00:21:23.160 align:middle line:84%
constant stress, you can also
apply an oscillatory strain,

00:21:23.160 --> 00:21:25.520 align:middle line:84%
which, these are the
sinusoidally varying strain

00:21:25.520 --> 00:21:26.040 align:middle line:90%
and stress.

00:21:26.040 --> 00:21:30.000 align:middle line:84%
For that, the main quantity
I want to mention here

00:21:30.000 --> 00:21:32.160 align:middle line:90%
is the so-called loss tangent.

00:21:32.160 --> 00:21:34.080 align:middle line:90%
This tangent theta here.

00:21:34.080 --> 00:21:38.210 align:middle line:84%
So tangent theta,
this is basically

00:21:38.210 --> 00:21:45.930 align:middle line:84%
defined as the ratio between
the imaginary part of the shear

00:21:45.930 --> 00:21:49.370 align:middle line:84%
modulus and the real
part of the modulus.

00:21:49.370 --> 00:21:53.410 align:middle line:84%
So physical significance
of this loss tangent

00:21:53.410 --> 00:22:01.610 align:middle line:84%
is that it is the amount
of energy loss per cycle

00:22:01.610 --> 00:22:07.610 align:middle line:84%
in this sinusoidal strain
normalized by the elastic energy

00:22:07.610 --> 00:22:09.810 align:middle line:90%
that's stored in the system.

00:22:09.810 --> 00:22:13.730 align:middle line:84%
So the higher the loss
tangent, the more energy

00:22:13.730 --> 00:22:17.430 align:middle line:84%
dissipation you get per cycle
during the oscillatory strain.

00:22:17.430 --> 00:22:20.370 align:middle line:90%


00:22:20.370 --> 00:22:23.090 align:middle line:84%
What we are seeing here is
that, in this particular case

00:22:23.090 --> 00:22:29.290 align:middle line:84%
for Maxwell element, this loss
tangent monotonically decreases

00:22:29.290 --> 00:22:32.570 align:middle line:90%
as you increase omega.

00:22:32.570 --> 00:22:33.070 align:middle line:90%
OK?

00:22:33.070 --> 00:22:35.190 align:middle line:84%
The horizontal axis here is
basically omega times tau,

00:22:35.190 --> 00:22:37.470 align:middle line:84%
where tau is the relaxation
time, which makes sense.

00:22:37.470 --> 00:22:39.470 align:middle line:84%
Because if you have higher
frequency, obviously,

00:22:39.470 --> 00:22:40.160 align:middle line:90%
a shorter time.

00:22:40.160 --> 00:22:41.910 align:middle line:84%
In fact, the elastic
constant contribution

00:22:41.910 --> 00:22:45.050 align:middle line:84%
becomes more significant because
any kind of elastic-- or sorry,

00:22:45.050 --> 00:22:47.030 align:middle line:84%
any kind of viscous
component, it

00:22:47.030 --> 00:22:50.750 align:middle line:84%
takes time to respond
to external changes.

00:22:50.750 --> 00:22:55.190 align:middle line:84%
Also, having a shorter
cycle, a shorter period

00:22:55.190 --> 00:22:58.210 align:middle line:84%
also decreases the amount
of energy loss per cycle.

00:22:58.210 --> 00:23:01.350 align:middle line:84%
So that's why you see this
decreasing trend here, OK?

00:23:01.350 --> 00:23:03.590 align:middle line:84%
But in general, this would
be a very general quantity

00:23:03.590 --> 00:23:06.510 align:middle line:84%
that you can use to gauge
whether the system is conserving

00:23:06.510 --> 00:23:08.750 align:middle line:90%
energy or dissipating energy.

00:23:08.750 --> 00:23:10.950 align:middle line:90%
OK?

00:23:10.950 --> 00:23:11.670 align:middle line:90%
All right.

00:23:11.670 --> 00:23:13.388 align:middle line:84%
So I'm going to go
pretty quickly here.

00:23:13.388 --> 00:23:14.930 align:middle line:84%
These are some of
the other elements.

00:23:14.930 --> 00:23:18.030 align:middle line:84%
You can also assemble the
Hookean spring and the dashpot

00:23:18.030 --> 00:23:18.935 align:middle line:90%
in different ways.

00:23:18.935 --> 00:23:20.810 align:middle line:84%
You can put them in
parallel with each other.

00:23:20.810 --> 00:23:23.830 align:middle line:84%
This is called the
Voigt-Kelvin element.

00:23:23.830 --> 00:23:30.390 align:middle line:84%
For this kind of element here,
if you apply a constant strain,

00:23:30.390 --> 00:23:36.770 align:middle line:84%
then all the stress is going
to be sustained by the spring

00:23:36.770 --> 00:23:38.170 align:middle line:84%
here, because
dashpot, it doesn't

00:23:38.170 --> 00:23:40.008 align:middle line:90%
respond to constant strain.

00:23:40.008 --> 00:23:42.050 align:middle line:84%
For constant strain, the
dashpot doesn't give you

00:23:42.050 --> 00:23:46.310 align:middle line:84%
any friction force, because
strain rate is zero.

00:23:46.310 --> 00:23:48.130 align:middle line:84%
So that's why all
the stress will now

00:23:48.130 --> 00:23:49.670 align:middle line:90%
be sustained by the spring.

00:23:49.670 --> 00:23:52.570 align:middle line:84%
That's why we have
this equation here.

00:23:52.570 --> 00:23:55.010 align:middle line:84%
It also exhibits
stress relaxation,

00:23:55.010 --> 00:23:56.470 align:middle line:90%
unlike the Maxwell element.

00:23:56.470 --> 00:23:59.850 align:middle line:84%
Maxwell element-- sorry,
strain relaxation.

00:23:59.850 --> 00:24:02.650 align:middle line:84%
Maxwell element exhibits
stress relaxation

00:24:02.650 --> 00:24:05.490 align:middle line:84%
whereas for this
Voigt-Kelvin element,

00:24:05.490 --> 00:24:07.910 align:middle line:90%
it exhibits a strain relaxation.

00:24:07.910 --> 00:24:10.330 align:middle line:84%
If you apply a constant
stress, then what

00:24:10.330 --> 00:24:13.170 align:middle line:84%
happens there is that initially,
again, all the stress is going

00:24:13.170 --> 00:24:16.130 align:middle line:84%
to get sustained by
this spring element,

00:24:16.130 --> 00:24:18.650 align:middle line:84%
but then over time,
the stress is then

00:24:18.650 --> 00:24:21.130 align:middle line:84%
going to lead to
elongation of the dashpot.

00:24:21.130 --> 00:24:29.130 align:middle line:84%
So in the equilibrium state,
if you apply a constant stress,

00:24:29.130 --> 00:24:30.850 align:middle line:90%
you want to deform the system.

00:24:30.850 --> 00:24:34.070 align:middle line:84%
But you cannot deform this
dashboard immediately,

00:24:34.070 --> 00:24:37.350 align:middle line:84%
because as I said, it takes
time for the viscous element

00:24:37.350 --> 00:24:39.510 align:middle line:84%
to actually respond
to any changes.

00:24:39.510 --> 00:24:41.950 align:middle line:84%
So initially, the
strain is zero.

00:24:41.950 --> 00:24:44.610 align:middle line:84%
And that's why the
spring is not elongating.

00:24:44.610 --> 00:24:46.910 align:middle line:84%
There's no elastic
stress component.

00:24:46.910 --> 00:24:50.030 align:middle line:84%
But then over time,
this dashpot starts

00:24:50.030 --> 00:24:52.230 align:middle line:84%
to slowly increase
in length, which

00:24:52.230 --> 00:24:54.670 align:middle line:84%
means that more and
more of the stress

00:24:54.670 --> 00:24:57.750 align:middle line:84%
is actually now getting
sustained by the spring instead

00:24:57.750 --> 00:24:58.750 align:middle line:90%
of dashpot.

00:24:58.750 --> 00:25:02.570 align:middle line:84%
So in the equilibrium state, the
dashboard will stop elongating,

00:25:02.570 --> 00:25:05.030 align:middle line:84%
but then all the
stress will now be

00:25:05.030 --> 00:25:07.610 align:middle line:90%
sustained by the spring layer.

00:25:07.610 --> 00:25:08.130 align:middle line:90%
OK?

00:25:08.130 --> 00:25:11.810 align:middle line:84%
So we can still describe this
kind of relaxation phenomena

00:25:11.810 --> 00:25:15.590 align:middle line:84%
similarly using an exponential
decay here, looking

00:25:15.590 --> 00:25:17.110 align:middle line:90%
at the kinetics.

00:25:17.110 --> 00:25:19.310 align:middle line:90%
OK?

00:25:19.310 --> 00:25:20.810 align:middle line:90%
OK.

00:25:20.810 --> 00:25:24.190 align:middle line:84%
So now, in the end, if you want
to describe a general material

00:25:24.190 --> 00:25:27.090 align:middle line:84%
that potentially can have
many relaxation mechanisms,

00:25:27.090 --> 00:25:29.250 align:middle line:84%
you can use this kind of
generalized Maxwell model.

00:25:29.250 --> 00:25:31.670 align:middle line:84%
Basically, you put a bunch
of these Maxwell elements

00:25:31.670 --> 00:25:35.330 align:middle line:84%
in parallel with
respect to each other.

00:25:35.330 --> 00:25:39.170 align:middle line:84%
And then the response of
the entire material system

00:25:39.170 --> 00:25:42.170 align:middle line:84%
would then be the sum of
the individual components.

00:25:42.170 --> 00:25:45.050 align:middle line:84%
Now, the key
takeaway message here

00:25:45.050 --> 00:25:49.730 align:middle line:84%
is that for this kind
of system, every dashpot

00:25:49.730 --> 00:25:53.450 align:middle line:84%
corresponds to one structural
relaxation mechanism.

00:25:53.450 --> 00:25:56.690 align:middle line:84%
So in real material, there
can be many complex relaxation

00:25:56.690 --> 00:25:59.090 align:middle line:84%
mechanisms that
occur concurrently.

00:25:59.090 --> 00:26:01.090 align:middle line:84%
And that's why you
need to introduce

00:26:01.090 --> 00:26:02.690 align:middle line:84%
a large number of
these dashpots here

00:26:02.690 --> 00:26:06.050 align:middle line:84%
to characterize the
dispersion of relaxation time.

00:26:06.050 --> 00:26:09.830 align:middle line:84%
So now if you look at the
actual time domain response,

00:26:09.830 --> 00:26:12.470 align:middle line:84%
what happens if you have
a stress relaxation?

00:26:12.470 --> 00:26:12.987 align:middle line:90%
Same thing.

00:26:12.987 --> 00:26:14.570 align:middle line:84%
You apply constant
strain, look at how

00:26:14.570 --> 00:26:18.090 align:middle line:84%
the internal stress of the
material relaxes over time.

00:26:18.090 --> 00:26:20.050 align:middle line:84%
You will get,
phenomenologically,

00:26:20.050 --> 00:26:22.030 align:middle line:84%
an expression like
what I'm showing here.

00:26:22.030 --> 00:26:23.290 align:middle line:90%
OK?

00:26:23.290 --> 00:26:25.610 align:middle line:84%
Instead of having one
single exponential,

00:26:25.610 --> 00:26:31.050 align:middle line:84%
you now have to look at the sum
of many exponential functions.

00:26:31.050 --> 00:26:37.270 align:middle line:84%
Each of the tau i here gives you
the characteristic relaxation

00:26:37.270 --> 00:26:41.190 align:middle line:84%
time for one particular
microscopic mechanism.

00:26:41.190 --> 00:26:43.630 align:middle line:90%
OK?

00:26:43.630 --> 00:26:49.470 align:middle line:84%
This sum, you can also
write it in terms of what's

00:26:49.470 --> 00:26:51.870 align:middle line:90%
called a Prony series.

00:26:51.870 --> 00:26:54.630 align:middle line:84%
Sum of single
exponentials can be

00:26:54.630 --> 00:26:58.130 align:middle line:84%
expressed as this so-called
stretched exponential function

00:26:58.130 --> 00:26:59.170 align:middle line:90%
there.

00:26:59.170 --> 00:27:00.670 align:middle line:84%
In a stretched
exponential function,

00:27:00.670 --> 00:27:02.670 align:middle line:84%
this looks very similar
to a single exponential,

00:27:02.670 --> 00:27:06.590 align:middle line:84%
except that we add the
exponents here, beta.

00:27:06.590 --> 00:27:07.350 align:middle line:90%
OK?

00:27:07.350 --> 00:27:09.230 align:middle line:84%
So if you look at,
functionally, what

00:27:09.230 --> 00:27:11.190 align:middle line:84%
this stretched
exponential function

00:27:11.190 --> 00:27:17.590 align:middle line:84%
looks like, let's
say this is stress,

00:27:17.590 --> 00:27:19.990 align:middle line:90%
this is how it varies over time.

00:27:19.990 --> 00:27:23.390 align:middle line:84%
If it's single exponential,
this is what the function

00:27:23.390 --> 00:27:26.470 align:middle line:90%
would be looking like.

00:27:26.470 --> 00:27:31.810 align:middle line:84%
And then-- it's not very
smooth, but that's OK.

00:27:31.810 --> 00:27:35.810 align:middle line:84%
When time equals
to tau, the stress

00:27:35.810 --> 00:27:40.210 align:middle line:84%
relaxes to 1 over e
of the starting value.

00:27:40.210 --> 00:27:42.100 align:middle line:90%
OK?

00:27:42.100 --> 00:27:45.370 align:middle line:84%
Now, if it's a stretched
exponential, when you have beta

00:27:45.370 --> 00:27:48.610 align:middle line:84%
there, if beta is
less than 1, this

00:27:48.610 --> 00:27:49.830 align:middle line:90%
is what you're going to get.

00:27:49.830 --> 00:28:03.390 align:middle line:84%
You will have a function that
initially relaxes faster.

00:28:03.390 --> 00:28:23.290 align:middle line:90%


00:28:23.290 --> 00:28:25.970 align:middle line:84%
You will have a function
that initially relaxes faster

00:28:25.970 --> 00:28:27.690 align:middle line:84%
compared to a
complex exponential.

00:28:27.690 --> 00:28:29.410 align:middle line:84%
And then eventually,
the relaxation

00:28:29.410 --> 00:28:32.150 align:middle line:90%
is going to get slower, OK?

00:28:32.150 --> 00:28:32.650 align:middle line:90%
Let's see.

00:28:32.650 --> 00:28:42.510 align:middle line:90%


00:28:42.510 --> 00:28:44.750 align:middle line:84%
So the reason you get the
initial fast relaxation

00:28:44.750 --> 00:28:47.750 align:middle line:84%
is because now you have many
kinds of relaxation mechanisms.

00:28:47.750 --> 00:28:51.670 align:middle line:84%
They have a difference in terms
of relaxation time scale, OK?

00:28:51.670 --> 00:28:53.310 align:middle line:84%
So there are always
some mechanisms

00:28:53.310 --> 00:28:55.990 align:middle line:84%
that exhibit the faster
relaxation than others.

00:28:55.990 --> 00:28:59.350 align:middle line:84%
So those are what lead to
initial fast decay there.

00:28:59.350 --> 00:29:02.390 align:middle line:84%
And then eventually,
the slower decay

00:29:02.390 --> 00:29:05.070 align:middle line:84%
is when the first
components has decayed away.

00:29:05.070 --> 00:29:07.510 align:middle line:84%
You now are left behind
with the slow components.

00:29:07.510 --> 00:29:09.270 align:middle line:84%
So that's why this
with a longer decay

00:29:09.270 --> 00:29:11.410 align:middle line:84%
tail compared to a
conventional exponential decay.

00:29:11.410 --> 00:29:11.910 align:middle line:90%
OK?

00:29:11.910 --> 00:29:14.750 align:middle line:90%


00:29:14.750 --> 00:29:15.750 align:middle line:90%
OK.

00:29:15.750 --> 00:29:19.630 align:middle line:84%
So basically, what we
have discussed here up

00:29:19.630 --> 00:29:25.190 align:middle line:84%
to this point is that
we have shown you

00:29:25.190 --> 00:29:27.870 align:middle line:84%
that there are three types of
response we can look at here,

00:29:27.870 --> 00:29:28.370 align:middle line:90%
OK?

00:29:28.370 --> 00:29:30.730 align:middle line:84%
We have classic
elastic response,

00:29:30.730 --> 00:29:33.160 align:middle line:84%
we have viscous response,
and the combination of them

00:29:33.160 --> 00:29:35.320 align:middle line:84%
gives you the
viscoelastic response.

00:29:35.320 --> 00:29:37.640 align:middle line:84%
If it's an elastic
response, that everything

00:29:37.640 --> 00:29:41.560 align:middle line:84%
is instantaneous, if you apply
a stress on a profile like what

00:29:41.560 --> 00:29:43.000 align:middle line:84%
I'm showing you
on the top there,

00:29:43.000 --> 00:29:45.280 align:middle line:84%
you see the strain
profile essentially

00:29:45.280 --> 00:29:48.120 align:middle line:84%
replicates exactly what
you have for the stress.

00:29:48.120 --> 00:29:48.640 align:middle line:90%
OK?

00:29:48.640 --> 00:29:51.800 align:middle line:84%
With a proportionality constant
given by your elastic constants,

00:29:51.800 --> 00:29:52.560 align:middle line:90%
OK?

00:29:52.560 --> 00:30:01.560 align:middle line:84%
For stress, the strain rate will
be proportional to the stress.

00:30:01.560 --> 00:30:04.360 align:middle line:84%
So then a constant
stress gives rise

00:30:04.360 --> 00:30:07.320 align:middle line:84%
to a linearly
varying strain here.

00:30:07.320 --> 00:30:09.600 align:middle line:84%
When you remove the
stress, any strain

00:30:09.600 --> 00:30:11.660 align:middle line:84%
that has already been
induced will be permanent.

00:30:11.660 --> 00:30:13.640 align:middle line:90%
It will stay there.

00:30:13.640 --> 00:30:15.853 align:middle line:84%
Whereas for viscoelastic
strain, it's

00:30:15.853 --> 00:30:18.120 align:middle line:84%
sort of the
combination of the two.

00:30:18.120 --> 00:30:21.000 align:middle line:84%
If you apply a stress like
what I'm showing here,

00:30:21.000 --> 00:30:23.160 align:middle line:84%
as soon as you apply
the stress, you're

00:30:23.160 --> 00:30:25.880 align:middle line:84%
introducing a little bit of
an elastic response that's

00:30:25.880 --> 00:30:27.800 align:middle line:90%
instantaneous.

00:30:27.800 --> 00:30:31.980 align:middle line:84%
But then over time,
you have relaxation.

00:30:31.980 --> 00:30:32.820 align:middle line:90%
OK?

00:30:32.820 --> 00:30:38.780 align:middle line:84%
You get a time-varying
strain response.

00:30:38.780 --> 00:30:40.660 align:middle line:84%
When you remove
the stress, you are

00:30:40.660 --> 00:30:43.220 align:middle line:84%
going to get, again, some
instantaneous response.

00:30:43.220 --> 00:30:48.380 align:middle line:84%
But then as time proceeds, you
get some additional variation

00:30:48.380 --> 00:30:50.330 align:middle line:90%
there.

00:30:50.330 --> 00:30:50.830 align:middle line:90%
OK?

00:30:50.830 --> 00:30:53.740 align:middle line:84%
So the key feature for
the viscoelastic response

00:30:53.740 --> 00:30:58.060 align:middle line:90%
is that this is time-dependent.

00:30:58.060 --> 00:31:01.100 align:middle line:84%
The state of a material at
one particular instant of time

00:31:01.100 --> 00:31:04.460 align:middle line:84%
not only depends on the
instantaneous stress that's

00:31:04.460 --> 00:31:06.020 align:middle line:84%
applied right at
that time point,

00:31:06.020 --> 00:31:10.420 align:middle line:84%
but it also depends on the
history of the stress that's

00:31:10.420 --> 00:31:12.100 align:middle line:90%
applied on the material.

00:31:12.100 --> 00:31:14.540 align:middle line:84%
So this slide shows
you some examples

00:31:14.540 --> 00:31:16.500 align:middle line:84%
where you have the
material exhibiting

00:31:16.500 --> 00:31:18.007 align:middle line:90%
typical viscoelastic response.

00:31:18.007 --> 00:31:19.632 align:middle line:84%
A lot of them are
essentially some kind

00:31:19.632 --> 00:31:23.700 align:middle line:84%
of amorphous material, where the
operation temperature resides

00:31:23.700 --> 00:31:25.520 align:middle line:84%
right along the glass
transition regime.

00:31:25.520 --> 00:31:26.895 align:middle line:84%
This is where the
viscoelasticity

00:31:26.895 --> 00:31:28.480 align:middle line:90%
is most pronounced.

00:31:28.480 --> 00:31:30.480 align:middle line:90%
Of course, mozzarella cheese.

00:31:30.480 --> 00:31:33.180 align:middle line:84%
You all have experienced
when they're hot,

00:31:33.180 --> 00:31:35.560 align:middle line:84%
when you try to remove
them from the oven.

00:31:35.560 --> 00:31:37.560 align:middle line:84%
They will deform continuously
even if you're not

00:31:37.560 --> 00:31:39.440 align:middle line:90%
trying to stretch them.

00:31:39.440 --> 00:31:41.440 align:middle line:90%
Human skin.

00:31:41.440 --> 00:31:43.040 align:middle line:84%
It's quite obvious
that human skin

00:31:43.040 --> 00:31:47.280 align:middle line:84%
has a sort of time-dependent,
delayed response, OK?

00:31:47.280 --> 00:31:51.280 align:middle line:84%
If it's a baby, then the
response will be more elastic.

00:31:51.280 --> 00:31:54.380 align:middle line:84%
If someone like me, you see a
significant viscous component.

00:31:54.380 --> 00:31:57.400 align:middle line:84%
That's a good sign that I'm
actually getting old, OK?

00:31:57.400 --> 00:31:58.540 align:middle line:90%
Turbine blades.

00:31:58.540 --> 00:32:00.360 align:middle line:84%
These are things that
were traditionally--

00:32:00.360 --> 00:32:02.780 align:middle line:84%
if it's a low temperature, this
is basically an elastic solid.

00:32:02.780 --> 00:32:04.947 align:middle line:84%
But when they're operating
at very high temperature,

00:32:04.947 --> 00:32:07.240 align:middle line:84%
you start to see responses
like creep kicking in, which

00:32:07.240 --> 00:32:09.220 align:middle line:90%
is due to the viscoelasticity.

00:32:09.220 --> 00:32:12.160 align:middle line:90%
Volcanic lava.

00:32:12.160 --> 00:32:13.640 align:middle line:90%
This is a good example.

00:32:13.640 --> 00:32:16.080 align:middle line:84%
Basically, glass-forming
fluids, OK?

00:32:16.080 --> 00:32:18.183 align:middle line:84%
That's why they exhibit
the viscoelastic response.

00:32:18.183 --> 00:32:19.600 align:middle line:84%
In terms of practical
applications

00:32:19.600 --> 00:32:21.560 align:middle line:84%
of these viscoelastic
materials, people

00:32:21.560 --> 00:32:24.800 align:middle line:84%
use them for things like
propellers for naval ships

00:32:24.800 --> 00:32:27.380 align:middle line:84%
because having the
viscous component

00:32:27.380 --> 00:32:28.940 align:middle line:84%
is helpful in that
they can actually

00:32:28.940 --> 00:32:33.340 align:middle line:84%
absorb a lot of the vibrations
or dampen those vibrations

00:32:33.340 --> 00:32:34.900 align:middle line:90%
through dissipating the energy.

00:32:34.900 --> 00:32:36.960 align:middle line:84%
And that's important for
things like naval ships,

00:32:36.960 --> 00:32:39.960 align:middle line:84%
because they want to make
sure that they remain quiet,

00:32:39.960 --> 00:32:42.500 align:middle line:84%
they produce less amount of
noise, so they don't get easily

00:32:42.500 --> 00:32:50.580 align:middle line:84%
spotted by sonar by ships
from the adversaries.

00:32:50.580 --> 00:32:52.277 align:middle line:84%
In terms of everyday
applications,

00:32:52.277 --> 00:32:53.860 align:middle line:84%
I have to scratch
my head a little bit

00:32:53.860 --> 00:32:56.180 align:middle line:84%
to think about what is
the actual practical use

00:32:56.180 --> 00:32:57.680 align:middle line:90%
of a viscoelastic material?

00:32:57.680 --> 00:32:59.362 align:middle line:90%
But that's one-- memory foam.

00:32:59.362 --> 00:33:01.820 align:middle line:84%
That is also a classical example
of a viscoelastic material

00:33:01.820 --> 00:33:02.800 align:middle line:90%
in your everyday life.

00:33:02.800 --> 00:33:03.300 align:middle line:90%
OK?

00:33:03.300 --> 00:33:07.140 align:middle line:90%


00:33:07.140 --> 00:33:07.780 align:middle line:90%
OK.

00:33:07.780 --> 00:33:12.780 align:middle line:84%
The last main point I want to
make here about viscoelasticity

00:33:12.780 --> 00:33:15.940 align:middle line:84%
is this Boltzmann
superposition principle.

00:33:15.940 --> 00:33:22.100 align:middle line:84%
So we have discussed about some
very simple formulogical models

00:33:22.100 --> 00:33:24.540 align:middle line:84%
and how those elements,
like Maxwell elements,

00:33:24.540 --> 00:33:29.120 align:middle line:84%
would respond to simple forms
of strain or stress variation--

00:33:29.120 --> 00:33:32.360 align:middle line:84%
oscillatory strains, constant
strain, constant stress.

00:33:32.360 --> 00:33:35.680 align:middle line:84%
But eventually, we may have to
deal with more complex problem

00:33:35.680 --> 00:33:38.900 align:middle line:84%
where you're given the
viscoelastic solid material,

00:33:38.900 --> 00:33:41.880 align:middle line:84%
you know it's viscoelastic
characteristics,

00:33:41.880 --> 00:33:46.080 align:middle line:84%
and then we may apply some very
complex form of strain or stress

00:33:46.080 --> 00:33:47.200 align:middle line:90%
on the material.

00:33:47.200 --> 00:33:49.920 align:middle line:84%
And you will be asked to solve,
what is the corresponding time

00:33:49.920 --> 00:33:52.920 align:middle line:90%
domain response?

00:33:52.920 --> 00:33:56.068 align:middle line:90%
OK?

00:33:56.068 --> 00:33:59.960 align:middle line:84%
So the way to deal with
that is to use the Boltzmann

00:33:59.960 --> 00:34:02.280 align:middle line:90%
superposition principle, OK?

00:34:02.280 --> 00:34:06.200 align:middle line:84%
So the starting point of
the Boltzmann superposition

00:34:06.200 --> 00:34:10.040 align:middle line:84%
principle, it lies
on the linearity

00:34:10.040 --> 00:34:12.440 align:middle line:90%
of the constitutive relations.

00:34:12.440 --> 00:34:14.199 align:middle line:84%
If you think about
the Hookean spring,

00:34:14.199 --> 00:34:19.280 align:middle line:84%
think about the Newtonian
viscous flow equations,

00:34:19.280 --> 00:34:23.600 align:middle line:84%
both equations are
completely linear.

00:34:23.600 --> 00:34:25.898 align:middle line:84%
For Hookean springs,
strain and stress,

00:34:25.898 --> 00:34:27.940 align:middle line:84%
they are proportional with
respect to each other.

00:34:27.940 --> 00:34:30.980 align:middle line:84%
For the viscous flow,
the strain rate always

00:34:30.980 --> 00:34:34.100 align:middle line:90%
linearly scales with stress.

00:34:34.100 --> 00:34:36.500 align:middle line:84%
So if you have equations
that are linear,

00:34:36.500 --> 00:34:40.380 align:middle line:84%
it means that if you
have a composite stimuli,

00:34:40.380 --> 00:34:43.659 align:middle line:84%
you have combined
two stimuli, then

00:34:43.659 --> 00:34:45.580 align:middle line:84%
the resulting
response will also be

00:34:45.580 --> 00:34:49.900 align:middle line:84%
the sum of the response from
the individual stimulus.

00:34:49.900 --> 00:34:52.840 align:middle line:90%
So that's what I'm showing here.

00:34:52.840 --> 00:34:54.400 align:middle line:84%
If you think about,
in this case,

00:34:54.400 --> 00:34:56.580 align:middle line:84%
applying some kind
of strain, this

00:34:56.580 --> 00:34:58.900 align:middle line:84%
is a strain step at
time t1, you suddenly

00:34:58.900 --> 00:35:01.660 align:middle line:84%
apply this strain,
delta epsilon 1 there.

00:35:01.660 --> 00:35:04.020 align:middle line:84%
Then obviously, because
it's viscoelastic,

00:35:04.020 --> 00:35:07.380 align:middle line:84%
you're going to get
instantaneous response

00:35:07.380 --> 00:35:09.980 align:middle line:90%
in terms of the stress.

00:35:09.980 --> 00:35:11.660 align:middle line:90%
And then it will all relax.

00:35:11.660 --> 00:35:15.280 align:middle line:84%
So the blue part will then be
the viscoelastic relaxation.

00:35:15.280 --> 00:35:20.220 align:middle line:84%
So generically, we can write
a stress response as two parts

00:35:20.220 --> 00:35:21.020 align:middle line:90%
here.

00:35:21.020 --> 00:35:23.240 align:middle line:84%
You have the
instantaneous response

00:35:23.240 --> 00:35:28.640 align:middle line:84%
given by the real part
of the elastic constant.

00:35:28.640 --> 00:35:32.840 align:middle line:84%
Then you have this
time-dependent function here

00:35:32.840 --> 00:35:36.640 align:middle line:84%
that gives you the
kinetics of the relaxation.

00:35:36.640 --> 00:35:38.600 align:middle line:84%
So in the most simple
case, if you only

00:35:38.600 --> 00:35:42.000 align:middle line:84%
have one microscopic mechanism
responsible for relaxation,

00:35:42.000 --> 00:35:45.400 align:middle line:84%
then this function would be
a simple exponential decay

00:35:45.400 --> 00:35:46.600 align:middle line:90%
function.

00:35:46.600 --> 00:35:50.373 align:middle line:90%
But this is a more generic case.

00:35:50.373 --> 00:35:52.040 align:middle line:84%
This can be a Prony
theory, for example.

00:35:52.040 --> 00:35:53.320 align:middle line:84%
It can be a stretched
exponential, right?

00:35:53.320 --> 00:35:55.528 align:middle line:84%
Or any arbitrary function
you can define with respect

00:35:55.528 --> 00:35:56.840 align:middle line:90%
to the material, OK?

00:35:56.840 --> 00:35:59.320 align:middle line:84%
Now, this relaxation
only takes place

00:35:59.320 --> 00:36:01.100 align:middle line:84%
after you have
applied the stimuli.

00:36:01.100 --> 00:36:05.680 align:middle line:84%
That's why the argument
here is t minus t1.

00:36:05.680 --> 00:36:06.460 align:middle line:90%
Same thing.

00:36:06.460 --> 00:36:12.240 align:middle line:84%
If you have a time t goes to t2,
you apply the second stimulus,

00:36:12.240 --> 00:36:15.520 align:middle line:84%
then you're going to get
some stress response.

00:36:15.520 --> 00:36:18.000 align:middle line:84%
In the end, the
combined response

00:36:18.000 --> 00:36:23.180 align:middle line:84%
would just be a sum of
these two parts there, OK?

00:36:23.180 --> 00:36:25.100 align:middle line:84%
So that's pretty
straightforward.

00:36:25.100 --> 00:36:27.420 align:middle line:84%
Now we can move on
and discuss about now

00:36:27.420 --> 00:36:31.740 align:middle line:84%
what happens if you apply an
arbitrary profile of a strain.

00:36:31.740 --> 00:36:34.100 align:middle line:84%
So for any arbitrary
profile of a strain,

00:36:34.100 --> 00:36:36.940 align:middle line:84%
you can always apply the
trick of divide and conquer.

00:36:36.940 --> 00:36:39.420 align:middle line:84%
You divide up the
arbitrary strain profile

00:36:39.420 --> 00:36:41.420 align:middle line:84%
into many, many
small time steps.

00:36:41.420 --> 00:36:46.420 align:middle line:84%
Within each time step, you apply
a small variation of the strain.

00:36:46.420 --> 00:36:47.140 align:middle line:90%
OK?

00:36:47.140 --> 00:36:48.540 align:middle line:84%
You then look at
the contribution

00:36:48.540 --> 00:36:51.540 align:middle line:84%
from each individual steps
and then sum it up together.

00:36:51.540 --> 00:36:57.140 align:middle line:84%
So discretely, you can
write the total strain

00:36:57.140 --> 00:37:01.100 align:middle line:84%
as a sum of many individual,
little strain steps.

00:37:01.100 --> 00:37:04.920 align:middle line:84%
Then in terms of
response, same thing.

00:37:04.920 --> 00:37:08.760 align:middle line:90%
You just add up the response.

00:37:08.760 --> 00:37:09.572 align:middle line:90%
OK?

00:37:09.572 --> 00:37:11.980 align:middle line:84%
If you now go into
the limit, where

00:37:11.980 --> 00:37:14.140 align:middle line:84%
each step becomes
very, very small,

00:37:14.140 --> 00:37:17.020 align:middle line:84%
this sum then
becomes the integral.

00:37:17.020 --> 00:37:19.580 align:middle line:84%
Converting a sum to
integral, you essentially

00:37:19.580 --> 00:37:24.400 align:middle line:84%
rely on this relation here,
where every step, delta epsilon,

00:37:24.400 --> 00:37:29.280 align:middle line:84%
you would convert it into
d epsilon, dt times dt.

00:37:29.280 --> 00:37:33.760 align:middle line:90%


00:37:33.760 --> 00:37:38.040 align:middle line:84%
So you use that conversion,
you convert your summation sign

00:37:38.040 --> 00:37:44.200 align:middle line:84%
into an integral, and
you will get, basically,

00:37:44.200 --> 00:37:47.000 align:middle line:84%
the Boltzmann superposition
principle that

00:37:47.000 --> 00:37:51.200 align:middle line:84%
now allows you to
infer the response

00:37:51.200 --> 00:37:57.680 align:middle line:84%
of the viscoelastic solid to
any arbitrary time-varying input

00:37:57.680 --> 00:37:59.280 align:middle line:90%
stimulus.

00:37:59.280 --> 00:37:59.780 align:middle line:90%
OK.

00:37:59.780 --> 00:38:02.600 align:middle line:90%


00:38:02.600 --> 00:38:04.600 align:middle line:84%
So basically, what
I'm saying here

00:38:04.600 --> 00:38:07.832 align:middle line:84%
is that if you know the
relaxation function,

00:38:07.832 --> 00:38:10.040 align:middle line:84%
you know the kinetics of
structural relaxation, which

00:38:10.040 --> 00:38:15.320 align:middle line:84%
is this function psi here, if
you know this function psi,

00:38:15.320 --> 00:38:20.930 align:middle line:84%
you would then be able to derive
the response of the solid using

00:38:20.930 --> 00:38:23.750 align:middle line:90%
this superposition principle.

00:38:23.750 --> 00:38:24.250 align:middle line:90%
OK?

00:38:24.250 --> 00:38:27.330 align:middle line:90%


00:38:27.330 --> 00:38:28.110 align:middle line:90%
All right.

00:38:28.110 --> 00:38:32.770 align:middle line:90%
So this is for viscoelasticity.

00:38:32.770 --> 00:38:35.270 align:middle line:84%
Some of the key characteristics
here-- obviously, as I said,

00:38:35.270 --> 00:38:37.010 align:middle line:90%
this is history-dependent.

00:38:37.010 --> 00:38:40.153 align:middle line:84%
You can quite clearly see from
this superposition principle

00:38:40.153 --> 00:38:42.570 align:middle line:84%
here, because you have this
kind of exponentially decaying

00:38:42.570 --> 00:38:47.130 align:middle line:84%
tail or this time-varying
function part,

00:38:47.130 --> 00:38:50.170 align:middle line:84%
at any time point,
the stress response

00:38:50.170 --> 00:38:52.070 align:middle line:84%
depends not only on the
instantaneous trait,

00:38:52.070 --> 00:38:56.083 align:middle line:84%
but also the previous history
of the strain applied.

00:38:56.083 --> 00:38:57.750 align:middle line:84%
And the time domain
response, of course,

00:38:57.750 --> 00:39:02.290 align:middle line:84%
is dictated by this
function for psi there.

00:39:02.290 --> 00:39:03.850 align:middle line:84%
So that's the
mathematical formalism

00:39:03.850 --> 00:39:06.450 align:middle line:84%
we will need in preparation
for the discussion

00:39:06.450 --> 00:39:12.130 align:middle line:84%
when we go to the glass
structure relaxation.

00:39:12.130 --> 00:39:15.450 align:middle line:84%
So what I want to do here,
the focus of the remainder

00:39:15.450 --> 00:39:20.830 align:middle line:84%
of the lecture is to derive the
mathematical formalism that now

00:39:20.830 --> 00:39:24.830 align:middle line:84%
allows us to predict the
structural relaxation

00:39:24.830 --> 00:39:29.670 align:middle line:84%
kinetics in the glass
transition regime, OK?

00:39:29.670 --> 00:39:33.710 align:middle line:84%
So for that, I will be drawing
an analogy between these two

00:39:33.710 --> 00:39:36.030 align:middle line:90%
kinds of relaxation here.

00:39:36.030 --> 00:39:39.910 align:middle line:84%
You have a stress relaxation
in a simple Maxwell

00:39:39.910 --> 00:39:43.470 align:middle line:84%
element versus structural
relaxation in glasses.

00:39:43.470 --> 00:39:46.470 align:middle line:84%
Now, I want to mention that this
mixture element, obviously, it's

00:39:46.470 --> 00:39:49.510 align:middle line:84%
an abstraction of real
structural relaxation

00:39:49.510 --> 00:39:50.670 align:middle line:90%
in materials.

00:39:50.670 --> 00:39:54.550 align:middle line:84%
So it's not surprising at all
that these two kind of seemingly

00:39:54.550 --> 00:39:56.150 align:middle line:84%
different phenomena,
they will exhibit

00:39:56.150 --> 00:39:58.110 align:middle line:84%
the same mathematical
formalism there.

00:39:58.110 --> 00:40:01.950 align:middle line:84%
So to look at the kinetics
of any kind of a relaxation

00:40:01.950 --> 00:40:05.950 align:middle line:84%
phenomena, we need to
look at three things, OK?

00:40:05.950 --> 00:40:09.430 align:middle line:90%
First is the equilibrium state.

00:40:09.430 --> 00:40:11.670 align:middle line:84%
So the equilibrium state
refers to the state

00:40:11.670 --> 00:40:13.830 align:middle line:84%
when there's no
more time evolution.

00:40:13.830 --> 00:40:15.550 align:middle line:90%
It becomes static.

00:40:15.550 --> 00:40:18.490 align:middle line:84%
For the Maxwell element,
the equilibrium state

00:40:18.490 --> 00:40:20.550 align:middle line:84%
is pretty clear if I
have stressed relaxation.

00:40:20.550 --> 00:40:23.210 align:middle line:84%
So when the stress completely
dips down to zero stress,

00:40:23.210 --> 00:40:26.230 align:middle line:84%
then there will be
no more relaxation.

00:40:26.230 --> 00:40:30.010 align:middle line:84%
So this is when you have
the dashpot fully stretched

00:40:30.010 --> 00:40:32.290 align:middle line:84%
and the spring is
not elongated at all.

00:40:32.290 --> 00:40:33.582 align:middle line:90%
The driving force.

00:40:33.582 --> 00:40:35.290 align:middle line:84%
The second factor we
need to look at here

00:40:35.290 --> 00:40:36.650 align:middle line:90%
is the driving force.

00:40:36.650 --> 00:40:39.630 align:middle line:84%
So I have already mentioned,
for the stress relaxation,

00:40:39.630 --> 00:40:41.970 align:middle line:84%
the driving force is
basically a residual stress

00:40:41.970 --> 00:40:43.630 align:middle line:90%
inside the material, OK?

00:40:43.630 --> 00:40:46.450 align:middle line:84%
We just represent it
by the stress exerted

00:40:46.450 --> 00:40:49.250 align:middle line:90%
by the Hookean spring here.

00:40:49.250 --> 00:40:53.610 align:middle line:84%
Now, finally is the
realization kinetics.

00:40:53.610 --> 00:40:58.730 align:middle line:84%
As a first-order approximation,
what we have shown here

00:40:58.730 --> 00:41:02.930 align:middle line:84%
is that the relaxation
kinetics, characterized

00:41:02.930 --> 00:41:06.010 align:middle line:84%
by the rate of
change is linearly

00:41:06.010 --> 00:41:11.690 align:middle line:84%
proportional to the driving
force, with the proportionality

00:41:11.690 --> 00:41:14.990 align:middle line:84%
constant being
basically 1 over tau,

00:41:14.990 --> 00:41:16.930 align:middle line:84%
where tau is the
relaxation time.

00:41:16.930 --> 00:41:19.870 align:middle line:90%


00:41:19.870 --> 00:41:24.390 align:middle line:84%
So now let's try to do the
same thing for glass structure

00:41:24.390 --> 00:41:26.190 align:middle line:90%
relaxation.

00:41:26.190 --> 00:41:29.510 align:middle line:84%
Let's start out by defining
what is equilibrium state.

00:41:29.510 --> 00:41:33.870 align:middle line:84%
Now, by definition,
equilibrium state

00:41:33.870 --> 00:41:35.530 align:middle line:90%
is crystalline state, obviously.

00:41:35.530 --> 00:41:37.630 align:middle line:84%
That's where it's
thermodynamically stable.

00:41:37.630 --> 00:41:39.408 align:middle line:84%
However, this is not
the equilibrium state

00:41:39.408 --> 00:41:40.450 align:middle line:90%
we are referring to here.

00:41:40.450 --> 00:41:43.130 align:middle line:84%
That's why I put the quotation
marks on "equilibrium state."

00:41:43.130 --> 00:41:43.630 align:middle line:90%
OK?

00:41:43.630 --> 00:41:47.230 align:middle line:84%
In the context of relaxation,
the equilibrium state

00:41:47.230 --> 00:41:49.310 align:middle line:84%
is basically the
final state where

00:41:49.310 --> 00:41:50.790 align:middle line:84%
the material is
relaxing towards,

00:41:50.790 --> 00:41:52.910 align:middle line:90%
where glass is relaxing towards.

00:41:52.910 --> 00:41:55.430 align:middle line:84%
So if you look at the
definition I give you

00:41:55.430 --> 00:41:57.190 align:middle line:84%
in the very first
lecture, it basically

00:41:57.190 --> 00:41:59.270 align:middle line:84%
says that glass is
always, constantly

00:41:59.270 --> 00:42:04.270 align:middle line:84%
trying to relax towards its
supercooled liquid state.

00:42:04.270 --> 00:42:06.830 align:middle line:84%
So supercooled liquid
state, obviously,

00:42:06.830 --> 00:42:11.110 align:middle line:84%
when it's below melting point,
it's not in thermal equilibrium.

00:42:11.110 --> 00:42:14.270 align:middle line:84%
But from a structural
relaxation perspective,

00:42:14.270 --> 00:42:16.850 align:middle line:84%
that would be sort
of the ultimate state

00:42:16.850 --> 00:42:19.650 align:middle line:84%
where the glass is
trying to relax towards.

00:42:19.650 --> 00:42:20.150 align:middle line:90%
OK?

00:42:20.150 --> 00:42:22.570 align:middle line:84%
So we define the
supercooled liquid state

00:42:22.570 --> 00:42:25.690 align:middle line:90%
as the equilibrium state.

00:42:25.690 --> 00:42:28.130 align:middle line:84%
So now if we know the
equilibrium state,

00:42:28.130 --> 00:42:30.410 align:middle line:84%
then what about
the driving force?

00:42:30.410 --> 00:42:34.450 align:middle line:84%
The driving force would be
the deviation of the state

00:42:34.450 --> 00:42:37.850 align:middle line:84%
that the glass currently
residing from the equilibrium

00:42:37.850 --> 00:42:38.350 align:middle line:90%
state.

00:42:38.350 --> 00:42:42.330 align:middle line:90%


00:42:42.330 --> 00:42:45.150 align:middle line:84%
For example, we can take volume
relaxation as an example.

00:42:45.150 --> 00:42:47.850 align:middle line:84%
But this applies to relaxation
of other physical parameters

00:42:47.850 --> 00:42:48.610 align:middle line:90%
as well.

00:42:48.610 --> 00:42:53.650 align:middle line:84%
So for volume relaxation,
let's consider volume

00:42:53.650 --> 00:42:57.370 align:middle line:84%
as a function of
temperature, OK?

00:42:57.370 --> 00:43:00.210 align:middle line:84%
So for volume as a
function of temperature,

00:43:00.210 --> 00:43:04.910 align:middle line:84%
we know that we have
basically this curve here.

00:43:04.910 --> 00:43:10.330 align:middle line:90%


00:43:10.330 --> 00:43:12.790 align:middle line:84%
So this would be the
supercooled liquid.

00:43:12.790 --> 00:43:15.670 align:middle line:90%
This would be the glass.

00:43:15.670 --> 00:43:18.870 align:middle line:84%
Now, we have mentioned that the
supercooled liquid is basically

00:43:18.870 --> 00:43:21.910 align:middle line:84%
the equilibrium
state of the system.

00:43:21.910 --> 00:43:24.590 align:middle line:84%
So if you look at the
cooling curve here,

00:43:24.590 --> 00:43:29.430 align:middle line:84%
initially, the system retraces
this supercooled liquid.

00:43:29.430 --> 00:43:31.310 align:middle line:84%
Means that it's
actually in equilibrium.

00:43:31.310 --> 00:43:33.150 align:middle line:84%
At this point here,
it starts to deviate

00:43:33.150 --> 00:43:37.190 align:middle line:84%
from the supercooled
liquid state, OK?

00:43:37.190 --> 00:43:39.010 align:middle line:84%
As soon as that
deviation happens,

00:43:39.010 --> 00:43:43.110 align:middle line:84%
you now have a driving force
towards equilibrium state.

00:43:43.110 --> 00:43:47.370 align:middle line:84%
So for the driving
force, as I said,

00:43:47.370 --> 00:43:50.750 align:middle line:84%
this is defined
as the difference

00:43:50.750 --> 00:43:56.790 align:middle line:84%
of the current volume versus
the equilibrium volume, OK?

00:43:56.790 --> 00:43:58.470 align:middle line:84%
So the current
volume, this is what

00:43:58.470 --> 00:44:02.990 align:middle line:84%
we label as V, the volume of
the supercooled liquid, this

00:44:02.990 --> 00:44:08.990 align:middle line:84%
is what we label as
the V subscript e.

00:44:08.990 --> 00:44:13.372 align:middle line:84%
So here e essentially
refers to equilibrium, OK?

00:44:13.372 --> 00:44:15.330 align:middle line:84%
This is the equilibrium
state we're looking at.

00:44:15.330 --> 00:44:20.650 align:middle line:84%
So the difference of the
two, V minus Ve, this

00:44:20.650 --> 00:44:26.210 align:middle line:84%
is the driving force
of volume relaxation.

00:44:26.210 --> 00:44:28.210 align:middle line:84%
Now, you may recall
from the last lecture,

00:44:28.210 --> 00:44:30.930 align:middle line:84%
I gave you the definition
of the free volume.

00:44:30.930 --> 00:44:33.510 align:middle line:84%
Free volume is
exactly V minus Ve.

00:44:33.510 --> 00:44:36.850 align:middle line:84%
This is the excess volume the
glass possesses with respect

00:44:36.850 --> 00:44:42.210 align:middle line:84%
to the supercooled liquid
at the same temperature.

00:44:42.210 --> 00:44:49.850 align:middle line:84%
So Vf defines how far away your
system is away from equilibrium.

00:44:49.850 --> 00:44:53.430 align:middle line:84%
So in relaxation process, the
system will try to minimize Vf.

00:44:53.430 --> 00:44:56.570 align:middle line:84%
It will try to essentially
completely remove the Vf.

00:44:56.570 --> 00:44:57.210 align:middle line:90%
OK?

00:44:57.210 --> 00:44:59.050 align:middle line:84%
If you're able to stay at that
temperature for a sufficiently

00:44:59.050 --> 00:45:02.030 align:middle line:84%
long amount of time, it's going
to relax towards that point.

00:45:02.030 --> 00:45:04.770 align:middle line:90%


00:45:04.770 --> 00:45:05.370 align:middle line:90%
OK.

00:45:05.370 --> 00:45:08.890 align:middle line:90%
Finally, kinetics.

00:45:08.890 --> 00:45:10.890 align:middle line:84%
We are going to make
exactly the same assumption

00:45:10.890 --> 00:45:13.550 align:middle line:84%
here as in the case of
the stress relaxation.

00:45:13.550 --> 00:45:18.950 align:middle line:84%
We are going to assume that the
relaxation rate scales linearly

00:45:18.950 --> 00:45:20.350 align:middle line:90%
with the driving force.

00:45:20.350 --> 00:45:21.070 align:middle line:90%
OK?

00:45:21.070 --> 00:45:25.870 align:middle line:84%
So basically, if you look
at how the volume is going

00:45:25.870 --> 00:45:33.750 align:middle line:84%
to change over time, OK,
so at a fixed temperature,

00:45:33.750 --> 00:45:36.990 align:middle line:84%
then V is basically
a constant, right?

00:45:36.990 --> 00:45:40.010 align:middle line:84%
It's basically you have a
well defined this line here

00:45:40.010 --> 00:45:41.270 align:middle line:84%
that corresponds with the
supercooled liquid line.

00:45:41.270 --> 00:45:42.645 align:middle line:84%
So for every
temperature, there's

00:45:42.645 --> 00:45:45.590 align:middle line:84%
a well-defined volume for
the supercooled liquid.

00:45:45.590 --> 00:45:47.750 align:middle line:84%
So therefore, for
fixed temperature,

00:45:47.750 --> 00:45:50.750 align:middle line:90%
Ve is considered as a constant.

00:45:50.750 --> 00:45:52.670 align:middle line:84%
So when you're taking
the derivative of volume

00:45:52.670 --> 00:45:54.310 align:middle line:84%
with respect to t,
essentially, you

00:45:54.310 --> 00:45:58.590 align:middle line:84%
are looking at the change of
a free volume with respect

00:45:58.590 --> 00:46:01.470 align:middle line:90%
to time.

00:46:01.470 --> 00:46:02.970 align:middle line:90%
Right?

00:46:02.970 --> 00:46:05.832 align:middle line:90%


00:46:05.832 --> 00:46:07.790 align:middle line:84%
So what we are
going to assume here

00:46:07.790 --> 00:46:10.230 align:middle line:84%
is the same
mathematical formalism

00:46:10.230 --> 00:46:13.330 align:middle line:84%
as what we have for
stress relaxation.

00:46:13.330 --> 00:46:18.650 align:middle line:84%
We have-- it scales inversely
with 1 over tau, Vf.

00:46:18.650 --> 00:46:22.770 align:middle line:90%


00:46:22.770 --> 00:46:25.550 align:middle line:84%
I used a different tau
here, tau relaxation,

00:46:25.550 --> 00:46:26.790 align:middle line:90%
just to characterize that.

00:46:26.790 --> 00:46:29.970 align:middle line:84%
This is the characteristic
relaxation time

00:46:29.970 --> 00:46:31.410 align:middle line:90%
scale in the solid--

00:46:31.410 --> 00:46:35.710 align:middle line:84%
in the glass rather than
in the Maxwell element, OK?

00:46:35.710 --> 00:46:41.170 align:middle line:90%


00:46:41.170 --> 00:46:45.410 align:middle line:84%
Now, this gives you relaxation
kinetics at one temperature.

00:46:45.410 --> 00:46:47.410 align:middle line:84%
In the end, if you want
to apply this theory

00:46:47.410 --> 00:46:49.130 align:middle line:84%
to look at the
structural relaxation

00:46:49.130 --> 00:46:51.410 align:middle line:84%
during glass processing,
typically, this

00:46:51.410 --> 00:46:53.970 align:middle line:84%
involves changing the
temperature over time.

00:46:53.970 --> 00:46:55.850 align:middle line:84%
So we would need
another equation

00:46:55.850 --> 00:46:59.690 align:middle line:84%
that then correlates
the relaxation

00:46:59.690 --> 00:47:01.650 align:middle line:90%
rate with temperature, OK?

00:47:01.650 --> 00:47:04.610 align:middle line:84%
So this can be done
most straightforwardly

00:47:04.610 --> 00:47:07.010 align:middle line:84%
by looking at the time
dependence of the relaxation

00:47:07.010 --> 00:47:09.940 align:middle line:90%
time scale.

00:47:09.940 --> 00:47:12.660 align:middle line:84%
So relaxation
involves, actually,

00:47:12.660 --> 00:47:14.840 align:middle line:84%
motion of atoms or
motion of molecules.

00:47:14.840 --> 00:47:20.320 align:middle line:84%
So this motion of atoms or
molecules, in a lot of cases,

00:47:20.320 --> 00:47:23.460 align:middle line:84%
the kinetics can be described
by using an Arrhenius equation

00:47:23.460 --> 00:47:25.420 align:middle line:90%
as a first-order approximation.

00:47:25.420 --> 00:47:28.460 align:middle line:84%
So if you follow
Arrhenius equation,

00:47:28.460 --> 00:47:43.860 align:middle line:84%
then the relaxation
time can also

00:47:43.860 --> 00:47:46.780 align:middle line:84%
be written with this
exponential form.

00:47:46.780 --> 00:47:48.280 align:middle line:90%
Right?

00:47:48.280 --> 00:47:53.585 align:middle line:90%


00:47:53.585 --> 00:47:57.120 align:middle line:84%
You can always
improve the theory.

00:47:57.120 --> 00:48:00.017 align:middle line:84%
You can essentially assume
a temperature-dependent Ea

00:48:00.017 --> 00:48:02.100 align:middle line:84%
if you wanted to be a bit
more accurate to account

00:48:02.100 --> 00:48:05.060 align:middle line:84%
for, essentially, a
fragile or liquid behavior.

00:48:05.060 --> 00:48:06.860 align:middle line:84%
But this is an
adequate, at least,

00:48:06.860 --> 00:48:10.760 align:middle line:84%
for the purpose of
this theory here.

00:48:10.760 --> 00:48:12.060 align:middle line:90%
OK, that's all we need.

00:48:12.060 --> 00:48:14.640 align:middle line:90%


00:48:14.640 --> 00:48:18.760 align:middle line:84%
This equation is
really all we need

00:48:18.760 --> 00:48:21.840 align:middle line:84%
to solve the glass
response during any kind

00:48:21.840 --> 00:48:24.040 align:middle line:90%
of thermal processing.

00:48:24.040 --> 00:48:28.880 align:middle line:84%
So to see how this can be
implemented, let's think about--

00:48:28.880 --> 00:48:30.800 align:middle line:84%
for example, you have
some kind of process,

00:48:30.800 --> 00:48:33.540 align:middle line:90%
time-dependent process.

00:48:33.540 --> 00:48:36.040 align:middle line:84%
To implement the process, you
need to know the initial state

00:48:36.040 --> 00:48:38.000 align:middle line:84%
and you need to know
the temperature history.

00:48:38.000 --> 00:48:39.300 align:middle line:84%
For example, what's
the heating rate?

00:48:39.300 --> 00:48:40.300 align:middle line:90%
What's the cooling rate?

00:48:40.300 --> 00:48:41.560 align:middle line:90%
And how long it lasts?

00:48:41.560 --> 00:48:45.760 align:middle line:84%
So what you would know
for this kind of a process

00:48:45.760 --> 00:48:50.220 align:middle line:84%
is that you have to know
that t equals to t1.

00:48:50.220 --> 00:48:53.200 align:middle line:84%
You need to assign the
boundary conditions, right?

00:48:53.200 --> 00:48:57.400 align:middle line:84%
At t equals to t1, you
know the starting volume.

00:48:57.400 --> 00:49:02.380 align:middle line:84%
OK, volume, V, at
t equals to t1, OK?

00:49:02.380 --> 00:49:07.380 align:middle line:90%


00:49:07.380 --> 00:49:11.180 align:middle line:84%
OK, so this is what you would
know as your starting boundary

00:49:11.180 --> 00:49:13.060 align:middle line:90%
condition.

00:49:13.060 --> 00:49:16.220 align:middle line:84%
Then we want to predict how
this volume is going to evolve

00:49:16.220 --> 00:49:19.380 align:middle line:90%
as a function of time.

00:49:19.380 --> 00:49:21.660 align:middle line:84%
It will also be given about
how the temperature is

00:49:21.660 --> 00:49:23.080 align:middle line:90%
going to change over time.

00:49:23.080 --> 00:49:25.300 align:middle line:90%
That defines your process.

00:49:25.300 --> 00:49:28.260 align:middle line:84%
So then what you would do is
you would apply, basically,

00:49:28.260 --> 00:49:32.220 align:middle line:84%
a finite difference approach
in the time domain, OK?

00:49:32.220 --> 00:49:35.360 align:middle line:84%
You would look at a
very small time step.

00:49:35.360 --> 00:49:39.660 align:middle line:84%
Let's see what happens at
t now equals to t1 plus

00:49:39.660 --> 00:49:42.420 align:middle line:90%
the little time step dt.

00:49:42.420 --> 00:49:43.700 align:middle line:90%
OK?

00:49:43.700 --> 00:49:48.900 align:middle line:84%
So to get the volume at
t1 equals to t1 plus dt,

00:49:48.900 --> 00:49:50.660 align:middle line:84%
you then first need
to calculate what

00:49:50.660 --> 00:49:54.380 align:middle line:84%
is the dV over that
time interval, dt.

00:49:54.380 --> 00:49:54.940 align:middle line:90%
OK?

00:49:54.940 --> 00:49:57.520 align:middle line:90%
So you plug into that equation.

00:49:57.520 --> 00:50:03.820 align:middle line:84%
You have minus tau
relaxation 1, and then Vf

00:50:03.820 --> 00:50:05.740 align:middle line:90%
is the big V minus Ve.

00:50:05.740 --> 00:50:09.440 align:middle line:90%


00:50:09.440 --> 00:50:11.440 align:middle line:90%
Now look at this equation here.

00:50:11.440 --> 00:50:13.920 align:middle line:84%
All the quantities are
actually known to you.

00:50:13.920 --> 00:50:17.900 align:middle line:84%
Tau relaxation, you know the
temperature at this time point.

00:50:17.900 --> 00:50:19.375 align:middle line:90%
That's your thermal history.

00:50:19.375 --> 00:50:22.000 align:middle line:84%
So if you know the temperature,
you can plug into this equation

00:50:22.000 --> 00:50:24.520 align:middle line:84%
here to derive the
corresponding relaxation

00:50:24.520 --> 00:50:26.300 align:middle line:84%
time for that particular
instant of time.

00:50:26.300 --> 00:50:29.263 align:middle line:90%


00:50:29.263 --> 00:50:30.680 align:middle line:84%
You know the
instantaneous volume.

00:50:30.680 --> 00:50:31.460 align:middle line:90%
That's given.

00:50:31.460 --> 00:50:32.840 align:middle line:90%
That's your boundary condition.

00:50:32.840 --> 00:50:34.800 align:middle line:84%
V is also something
that's known,

00:50:34.800 --> 00:50:36.220 align:middle line:84%
because you know
the temperature.

00:50:36.220 --> 00:50:38.920 align:middle line:84%
Once you know the
temperature, the volume

00:50:38.920 --> 00:50:41.960 align:middle line:84%
of the supercooled liquid
is a single-value function

00:50:41.960 --> 00:50:43.320 align:middle line:90%
of the temperature.

00:50:43.320 --> 00:50:46.280 align:middle line:84%
So all the parameters on the
right side of the equation

00:50:46.280 --> 00:50:47.020 align:middle line:90%
is known.

00:50:47.020 --> 00:50:50.280 align:middle line:90%


00:50:50.280 --> 00:50:57.560 align:middle line:84%
Therefore, your V at t1
plus dt would just simply

00:50:57.560 --> 00:51:01.680 align:middle line:90%
be V at t1 plus dv.

00:51:01.680 --> 00:51:05.000 align:middle line:90%


00:51:05.000 --> 00:51:07.940 align:middle line:84%
I should put the
dt here. dV, dt.

00:51:07.940 --> 00:51:09.440 align:middle line:90%
OK?

00:51:09.440 --> 00:51:15.376 align:middle line:90%


00:51:15.376 --> 00:51:17.680 align:middle line:84%
Now you know the volume
at the next time step.

00:51:17.680 --> 00:51:19.880 align:middle line:84%
You just then need to
repeat this process.

00:51:19.880 --> 00:51:24.620 align:middle line:90%


00:51:24.620 --> 00:51:27.780 align:middle line:84%
And provided, as I said,
you know the temperature

00:51:27.780 --> 00:51:30.940 align:middle line:84%
at all the time
points, then you would

00:51:30.940 --> 00:51:33.380 align:middle line:84%
be able to derive how the
volume is going to change

00:51:33.380 --> 00:51:35.040 align:middle line:90%
as a function of time.

00:51:35.040 --> 00:51:37.660 align:middle line:90%


00:51:37.660 --> 00:51:38.680 align:middle line:90%
Does that make sense?

00:51:38.680 --> 00:51:43.460 align:middle line:90%


00:51:43.460 --> 00:51:45.380 align:middle line:90%
OK?

00:51:45.380 --> 00:51:49.580 align:middle line:84%
This may look remarkably
simple, but then, in fact, this

00:51:49.580 --> 00:51:51.680 align:middle line:90%
is also very, very powerful.

00:51:51.680 --> 00:51:53.540 align:middle line:84%
It allows you to
make predictions

00:51:53.540 --> 00:51:56.300 align:middle line:84%
that agrees with experiments
and can predict some

00:51:56.300 --> 00:51:59.680 align:middle line:84%
of the phenomena, as I mentioned
before, about the relaxation,

00:51:59.680 --> 00:52:02.200 align:middle line:84%
for example, during a
reheating of glasses.

00:52:02.200 --> 00:52:03.380 align:middle line:90%
OK?

00:52:03.380 --> 00:52:10.240 align:middle line:84%
So I have actually put together
a little MATLAB code myself.

00:52:10.240 --> 00:52:13.200 align:middle line:84%
I can run the MATLAB code,
define all kinds of temperature

00:52:13.200 --> 00:52:15.440 align:middle line:84%
changes, and look at how
the glass volume is going

00:52:15.440 --> 00:52:17.360 align:middle line:90%
to vary as a function of time.

00:52:17.360 --> 00:52:18.200 align:middle line:90%
OK.

00:52:18.200 --> 00:52:20.400 align:middle line:84%
So now what I'm
showing here, I'm

00:52:20.400 --> 00:52:22.480 align:middle line:84%
showing you a few
examples-- what's

00:52:22.480 --> 00:52:25.560 align:middle line:84%
the results of the prediction
coming from the code, OK?

00:52:25.560 --> 00:52:31.640 align:middle line:84%
The first example here, we are
considering the same cooling

00:52:31.640 --> 00:52:34.480 align:middle line:84%
rate but then different
reheating rate, OK?

00:52:34.480 --> 00:52:36.680 align:middle line:84%
So the thermal
history-- and so we're

00:52:36.680 --> 00:52:39.400 align:middle line:84%
starting out from a
supercooled liquid.

00:52:39.400 --> 00:52:42.910 align:middle line:84%
We cool down with a constant
cooling rate of 10 degrees

00:52:42.910 --> 00:52:44.880 align:middle line:90%
Celsius per second.

00:52:44.880 --> 00:52:49.440 align:middle line:84%
It then going to follow
this blue line here.

00:52:49.440 --> 00:52:52.640 align:middle line:84%
And then once it
completely cools down,

00:52:52.640 --> 00:52:57.138 align:middle line:84%
we then start to reheat it up
with a different reheating rate.

00:52:57.138 --> 00:52:58.680 align:middle line:84%
So what we're seeing
here is that you

00:52:58.680 --> 00:53:00.795 align:middle line:84%
start to see this
kind of a funny shape

00:53:00.795 --> 00:53:02.920 align:middle line:84%
that I have already mentioned
in the very beginning

00:53:02.920 --> 00:53:04.260 align:middle line:90%
of the semester.

00:53:04.260 --> 00:53:07.340 align:middle line:84%
So now we explain why you have
this kind of interesting shape

00:53:07.340 --> 00:53:07.840 align:middle line:90%
here.

00:53:07.840 --> 00:53:11.380 align:middle line:84%
Essentially, what happens
is that right here,

00:53:11.380 --> 00:53:13.440 align:middle line:84%
the glass material is
very far from equilibrium.

00:53:13.440 --> 00:53:15.360 align:middle line:84%
It has a very large
excess free volume.

00:53:15.360 --> 00:53:16.820 align:middle line:84%
So it wants to
relax, but it cannot

00:53:16.820 --> 00:53:19.340 align:middle line:84%
because it's,
kinetically, very slow.

00:53:19.340 --> 00:53:21.420 align:middle line:84%
So as you start to
heat it up, the curve

00:53:21.420 --> 00:53:23.620 align:middle line:84%
starts to bend
downwards, indicating

00:53:23.620 --> 00:53:25.060 align:middle line:84%
that the system
is trying to relax

00:53:25.060 --> 00:53:27.860 align:middle line:84%
towards the supercooled
liquid line.

00:53:27.860 --> 00:53:30.740 align:middle line:84%
Now, the slower the heating
rate, the smaller the heating

00:53:30.740 --> 00:53:33.740 align:middle line:84%
rate, the more
relaxation you see.

00:53:33.740 --> 00:53:36.440 align:middle line:84%
Basically, it just means that
for smaller heating rate,

00:53:36.440 --> 00:53:39.820 align:middle line:84%
you allow the glass material to
dwell at the glass transition

00:53:39.820 --> 00:53:42.220 align:middle line:84%
regime for a longer
period of time.

00:53:42.220 --> 00:53:44.900 align:middle line:84%
So if you have longer time,
then more structural relaxation

00:53:44.900 --> 00:53:45.920 align:middle line:90%
is going to take place.

00:53:45.920 --> 00:53:50.500 align:middle line:84%
And that's why you're
seeing the curve dips more.

00:53:50.500 --> 00:53:53.460 align:middle line:90%
More significant relaxation.

00:53:53.460 --> 00:53:55.860 align:middle line:84%
Now, once the curve
dips, it's going

00:53:55.860 --> 00:53:58.380 align:middle line:84%
to hit this supercooled
liquid line.

00:53:58.380 --> 00:54:01.400 align:middle line:84%
Once it starts to approach
the supercooled liquid line,

00:54:01.400 --> 00:54:04.840 align:middle line:84%
then it will try to trace
the supercooled liquid line.

00:54:04.840 --> 00:54:06.167 align:middle line:90%
Because that's equilibrium.

00:54:06.167 --> 00:54:07.500 align:middle line:90%
That's at the equilibrium state.

00:54:07.500 --> 00:54:12.960 align:middle line:84%
So as you slowly heat it up,
the kinetics of relaxation

00:54:12.960 --> 00:54:14.480 align:middle line:90%
start to accelerate.

00:54:14.480 --> 00:54:19.200 align:middle line:84%
At some point, the kinetics
will be sufficiently fast such

00:54:19.200 --> 00:54:23.780 align:middle line:84%
that your system can now fully
remain in the equilibrium state.

00:54:23.780 --> 00:54:24.940 align:middle line:90%
So that's what happens.

00:54:24.940 --> 00:54:26.080 align:middle line:84%
The curve starts
to dip, and then

00:54:26.080 --> 00:54:27.560 align:middle line:84%
eventually, you
will start to trace

00:54:27.560 --> 00:54:29.018 align:middle line:84%
this supercooled
liquid line there.

00:54:29.018 --> 00:54:30.740 align:middle line:84%
That means that the
system, the kinetics

00:54:30.740 --> 00:54:32.800 align:middle line:84%
is sufficiently
fast to guarantee

00:54:32.800 --> 00:54:37.120 align:middle line:84%
complete structural
relaxation over the process.

00:54:37.120 --> 00:54:42.880 align:middle line:84%
So that's why you see
these different curves

00:54:42.880 --> 00:54:46.600 align:middle line:90%
with different reheating rates.

00:54:46.600 --> 00:54:48.820 align:middle line:90%
Now, this is another example.

00:54:48.820 --> 00:54:53.040 align:middle line:84%
In this case, I'm looking at
now different cooling rates.

00:54:53.040 --> 00:54:54.560 align:middle line:90%
So same starting glass.

00:54:54.560 --> 00:54:56.480 align:middle line:84%
I will cool down with
different cooling rates

00:54:56.480 --> 00:54:57.920 align:middle line:90%
here that I have labeled here.

00:54:57.920 --> 00:54:59.640 align:middle line:84%
And then I use the
constant heating rate

00:54:59.640 --> 00:55:02.410 align:middle line:90%
of 1 degree Celsius per second.

00:55:02.410 --> 00:55:04.590 align:middle line:84%
So there are two things
we should talk about here.

00:55:04.590 --> 00:55:07.730 align:middle line:84%
First is that when you are
actually cooling it down,

00:55:07.730 --> 00:55:11.770 align:middle line:84%
initially, the system will trace
the supercooled liquid line

00:55:11.770 --> 00:55:12.990 align:middle line:90%
because it's ergodic.

00:55:12.990 --> 00:55:15.170 align:middle line:84%
The structural relaxation
is fast enough.

00:55:15.170 --> 00:55:17.410 align:middle line:84%
It can always stay
in equilibrium.

00:55:17.410 --> 00:55:20.650 align:middle line:84%
Now, at some point,
the system will not

00:55:20.650 --> 00:55:22.970 align:middle line:84%
be able to remain in
the equilibrium state

00:55:22.970 --> 00:55:26.130 align:middle line:84%
because the relaxation
kinetics is not fast enough.

00:55:26.130 --> 00:55:29.770 align:middle line:84%
And this happens first
for faster cooling rates,

00:55:29.770 --> 00:55:33.730 align:middle line:84%
because faster cooling rates,
you give it a much narrower time

00:55:33.730 --> 00:55:35.810 align:middle line:90%
window for it to relax.

00:55:35.810 --> 00:55:37.530 align:middle line:84%
So therefore, the
system will start

00:55:37.530 --> 00:55:40.690 align:middle line:84%
to deviate from this supercooled
liquid line at an earlier point

00:55:40.690 --> 00:55:42.710 align:middle line:90%
for a faster cooling rate.

00:55:42.710 --> 00:55:46.370 align:middle line:84%
So the gap here
indicates that the system

00:55:46.370 --> 00:55:48.450 align:middle line:90%
is no longer in equilibrium.

00:55:48.450 --> 00:55:51.690 align:middle line:90%
Relaxation is not fast enough.

00:55:51.690 --> 00:55:56.250 align:middle line:84%
So then once you reach the
plateau during reheating here,

00:55:56.250 --> 00:55:58.830 align:middle line:84%
you see that, for the
100-degree C per second,

00:55:58.830 --> 00:56:01.590 align:middle line:84%
the faster cooling glass,
it exhibits more stronger

00:56:01.590 --> 00:56:04.170 align:middle line:84%
structural relaxation,
which, again,

00:56:04.170 --> 00:56:07.990 align:middle line:84%
is because it has a much
larger driving force.

00:56:07.990 --> 00:56:11.410 align:middle line:84%
Faster cooling glass
has a higher volume,

00:56:11.410 --> 00:56:13.390 align:middle line:90%
so higher excess free volume.

00:56:13.390 --> 00:56:15.890 align:middle line:84%
Large free volume gives
you a larger driving force.

00:56:15.890 --> 00:56:17.710 align:middle line:84%
More driving force,
the faster relaxation

00:56:17.710 --> 00:56:20.070 align:middle line:84%
kinetics, according to
our assumption there.

00:56:20.070 --> 00:56:24.670 align:middle line:84%
And that's why you see a
much significant dip compared

00:56:24.670 --> 00:56:26.490 align:middle line:90%
to slower cooling glasses.

00:56:26.490 --> 00:56:33.858 align:middle line:90%


00:56:33.858 --> 00:56:36.950 align:middle line:84%
So from this plot,
you can automatically

00:56:36.950 --> 00:56:40.310 align:middle line:84%
derive the dependence of a
fictive temperature with respect

00:56:40.310 --> 00:56:42.510 align:middle line:84%
to cooling rate here,
just based on the theory.

00:56:42.510 --> 00:56:47.302 align:middle line:90%


00:56:47.302 --> 00:56:49.510 align:middle line:84%
Now, one thing I also want
to mention about this code

00:56:49.510 --> 00:56:53.630 align:middle line:84%
here is that you may notice,
in our typical schematic,

00:56:53.630 --> 00:56:57.350 align:middle line:84%
the glass line actually
has a finite slope.

00:56:57.350 --> 00:57:02.290 align:middle line:84%
This is associated with thermal
expansion of the glass material.

00:57:02.290 --> 00:57:06.150 align:middle line:84%
In my code, I basically did not
assume any thermal expansion.

00:57:06.150 --> 00:57:08.010 align:middle line:90%
I basically assumed it's zero.

00:57:08.010 --> 00:57:11.210 align:middle line:84%
So that's why this line
becomes horizontal,

00:57:11.210 --> 00:57:13.430 align:middle line:84%
but it's fairly easy
to correct for it.

00:57:13.430 --> 00:57:15.630 align:middle line:84%
You just add a linear
term over temperature,

00:57:15.630 --> 00:57:17.310 align:middle line:84%
so that it will go
to a linear chain.

00:57:17.310 --> 00:57:21.450 align:middle line:84%
So that's something you can do
if you want for your own code.

00:57:21.450 --> 00:57:25.110 align:middle line:90%


00:57:25.110 --> 00:57:28.810 align:middle line:84%
Any more questions
about this part here?

00:57:28.810 --> 00:57:30.730 align:middle line:84%
We are actually going
to end a little bit

00:57:30.730 --> 00:57:32.330 align:middle line:90%
early for this lecture.

00:57:32.330 --> 00:57:34.170 align:middle line:90%
We'll cover up to this point.

00:57:34.170 --> 00:57:37.090 align:middle line:84%
In the next lecture, we're
going to discover the theory

00:57:37.090 --> 00:57:40.450 align:middle line:84%
about fixed temperature,
fictive temperature, and Tool's

00:57:40.450 --> 00:57:41.110 align:middle line:90%
equations.

00:57:41.110 --> 00:57:42.930 align:middle line:90%
So that's a different module.

00:57:42.930 --> 00:57:44.630 align:middle line:90%
I want to wrap up here.

00:57:44.630 --> 00:57:47.770 align:middle line:84%
But before that, any questions
about structural relaxation?

00:57:47.770 --> 00:57:50.170 align:middle line:84%
The key point really
is this slide.

00:57:50.170 --> 00:57:53.770 align:middle line:84%
I think this slide is the
most important part that

00:57:53.770 --> 00:57:55.810 align:middle line:84%
covers about the key
elements you want

00:57:55.810 --> 00:57:59.110 align:middle line:84%
to know how to
mathematically model

00:57:59.110 --> 00:58:01.650 align:middle line:84%
structural relaxation using
first-order kinetic theory,

00:58:01.650 --> 00:58:02.390 align:middle line:90%
essentially.

00:58:02.390 --> 00:58:05.390 align:middle line:90%


00:58:05.390 --> 00:58:08.790 align:middle line:84%
AUDIENCE: Can you
go back to the--

00:58:08.790 --> 00:58:09.870 align:middle line:90%
which slide was it--

00:58:09.870 --> 00:58:14.890 align:middle line:84%
the loss modulus, I think,
slide, with all the math,

00:58:14.890 --> 00:58:18.350 align:middle line:84%
breaking down the
[INAUDIBLE] like prime?

00:58:18.350 --> 00:58:19.390 align:middle line:90%
I didn't get it all.

00:58:19.390 --> 00:58:20.265 align:middle line:90%
JUEJUN HU: Which one?

00:58:20.265 --> 00:58:21.070 align:middle line:90%
This one?

00:58:21.070 --> 00:58:24.710 align:middle line:84%
AUDIENCE: I think it
was the one before.

00:58:24.710 --> 00:58:26.540 align:middle line:90%
JUEJUN HU: Oh.

00:58:26.540 --> 00:58:27.050 align:middle line:90%
This one?

00:58:27.050 --> 00:58:28.050 align:middle line:90%
AUDIENCE: Yes, that one.

00:58:28.050 --> 00:58:28.633 align:middle line:90%
JUEJUN HU: OK.

00:58:28.633 --> 00:58:31.270 align:middle line:90%


00:58:31.270 --> 00:58:31.830 align:middle line:90%
OK.

00:58:31.830 --> 00:58:33.070 align:middle line:90%
Thank you.

00:58:33.070 --> 00:58:35.328 align:middle line:84%
Any questions about this
particular slide or?

00:58:35.328 --> 00:58:35.870 align:middle line:90%
AUDIENCE: No.

00:58:35.870 --> 00:58:39.150 align:middle line:84%
I was listening and then
didn't actually write it down.

00:58:39.150 --> 00:58:40.700 align:middle line:90%
JUEJUN HU: Oh.

00:58:40.700 --> 00:58:58.000 align:middle line:90%