Day 06 - Making Classical Models#

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Plane Polar Coordinates Warm-Up#

We introduced plane polar coordinates (\(r,\phi\)). For any position vector, \(\vec{R}\), we can write:

\[\vec{R} = \left|\vec{R}\right|\hat{r} = r\hat{r}\]

where \(r\) is the magnitude of \(\vec{R}\), and \(\hat{r}\) is the radial unit vector.

Find \(\dot{\vec{R}} = \frac{d\vec{R}}{dt}\). Get as far as you can. Our answer will be in terms of \(\hat{r}\) and \(\hat{\phi}\).

Remember the chain rule and Cartesian unit vectors are fixed in space/time

\(\hat{r} = \cos(\phi)\hat{x} + \sin(\phi)\hat{y} \qquad \hat{\phi} = -\sin(\phi)\hat{x} + \cos(\phi)\hat{y}\) \(\frac{d}{d\phi} \cos \phi = -\sin \phi \qquad \frac{d}{d\phi} \sin \phi = \cos \phi\)


Day 06 - Making Classical Models#

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Announcements#

  • Homework 2 is due Friday

  • Video recordings have continued to fail.

    • Zoom password: phy321

  • Updated office hours (Danny-DC; Elisha-EA):

    • Monday 4-5pm (DC)

    • Tuesday 5-6pm (EA)

    • Wednesday 4-5pm (DC)

    • Thursday 5-6pm (EA)

    • Friday 10-12pm (DC then EA); 3-4pm (DC)


Seminars this week#

MONDAY, January 27, 2025

  • Condensed Matter Seminar 4:10 pm,1400 BPS, Luca Delacretaz, University of Chicago, Precision tests of thermalization and Planckian bound from hydrodynamic EFT

  • CAPS Connect – Abigail (Abby) Weller BPS 1312C - Starts back up today


Seminars this week#

WEDNESDAY, January 29, 2025

  • Astronomy Seminar, 1:30 pm, 1400 BPS, Michiel Lambrechts, Univ. of Copenhagen, Planet formation

  • FRIB Nuclear Science Seminar, 3:30pm., FRIB 1300 Auditorium, Brenden Longfellow of Lawrence Livermore National Laboratory, From Tensor Current Limits to Solar Neutrinos: 8Li and 8B Studies with the Beta-decay Paul Trap


AI Policy Proposals#

  • Proposal 1: We adopt a policy that does not allow AI use at all.

  • Proposal 2: We adopt a policy that allows AI use for brainstorming, help, and editing.

  • Proposal 3: We adopt a policy that allows AI for use in nearly any way.

  • Proposal 4: We adopt a policy that allows AI for use in any way with no documentation required.


Updated AI Policy#

We have elected to use Proposal 2 for the AI Policy.

  • Proposal 2: 61.5% first choice; 12.8% second choice

  • Proposal 1: 26.5% first choice; 61.5% second choice

  • Proposal 3: 46.2% third choice; 23.1% last choice

  • Proposal 4: 17.9% third choice; 74.4% last choice

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AI Policy going forward#

To be posted on D2L and in the syllabus#

  • We have adopted a policy that allows AI use for brainstorming, help, and editing.

  • We will not use AI tools for direct answers or the completion of assignments.

  • We expect documentation of AI use, but it can be informal. The documentation should at least contain the AI tool used, the prompts given, and the responses received.

  • Policy violations are discussed with Danny; the first violation requires a redo of the assignment, and repeated violations result in a failing grade.

  • We will review an amendment to this policy if 1/3 of the class prepares one.


Goals for Week 3#

  • Be able to answer the following questions.

    • What is Mathematical Modeling?

    • What is the process for analyzing these models?

  • Be able to solve “Simple” Motion Problems with Newton’s Laws.


Modeling Video#

Modeling Video

Source: https://www.youtube.com/watch?v=dkTncoPqo5Y


What is your experience with modeling?#

Take 2-3 min to think about your prior physics classes#

  • What models have you used? What makes that a model?

  • What made a that model good or not so good?

  • What kinds of things could you do to make a better model?


Vortex Shedding#

  • At higher Reynolds numbers, flow around objects becomes unstable.

  • This instability can lead to the formation of vortices.

  • This “shedding” of vortices can lead to vibrations and noise.

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Model of vortex shedding behind a cylinder#

  • Controlling vortex shedding is important in many engineering applications.

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Giosan, Ioan, and P. Eng. "Vortex shedding induced loads on free standing structures" Structural Vortex Shedding Response Estimation Methodology and Finite Element Simulation 42 (2013).


Renewables: Wind Turbines#

Thorntonbank Wind Farm#

North Sea off the coast of Belgium#

Notice the cylindrical shape of the support structure.

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Clicker Question 6-1#

The SHO is a useful model: \(m\ddot{x} = -kx\).

Assume the restoring force is anti-symmetric about the equilibrium position, what is the next term model?

  1. \(\sim x^2\)

  2. \(\sim x^3\)

  3. \(\sim x^4\)

  4. \(\sim x^5\)

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Clicker Question 6-2#

Assuming a linear model for Air Resistance \(\sim bv\), we obtained this EOM for a falling ball:

\[\ddot{y} = -g + \frac{b}{m}\dot{y}\]

What happens when \(\ddot{y} = 0\)?

  1. The ball stops moving (\(v = 0\)).

  2. The ball reaches a velocity of \(mg/b\).

  3. The ball reaches a terminal velocity.

  4. I’m not sure.


Clicker Question 6-3#

For the system of Linear Drag in 1D, we found a solution for the velocity as a function of time, with \(v = 0\) at \(t = 0\). $\(v(t) = v_{term}\left(1-e^{-\dfrac{bt}{m}}\right)\)$

where \(v_{term} = \sqrt{\frac{mg}{b}}\).


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CQ 6-3#

Which sketch could be correct for the velocity of the ball?


Clicker Question 6-4#

For the system of Quadratic Drag in 1D, we found a solution for the velocity as a function of time, with \(v = 0\) at \(t = 0\).

\[v(t) = v_{term}\tanh(gt/v_{term})\]

where \(v_{term} = (mg/c)^{1/2}\). Do the units make sense? What are the units of \(\left[gt/v_{term}\right]\)?

  1. Yes, the units for \(\left[gt/v_{term}\right]\) are \(m/s\);both sides have the same units.

  2. No, the units for \(\left[gt/v_{term}\right]\) are m/s; each side has different units.

  3. Yes, the units for \(\left[gt/v_{term}\right]\) are unit-less; both sides have the same units.

  4. No, the units for \(\left[gt/v_{term}\right]\) are unit-less; each side has the different units.


Clicker Question 6-5#

For the system of Quadratic Drag in 1D, we found a solution for the velocity as a function of time, with \(v = 0\) at \(t = 0\).

\[v(t) = v_{term}\tanh(gt/v_{term})\]

where \(v_{term} = \sqrt{mg/c}\). What happens when \(t \rightarrow \infty\)?

  1. The object stops moving.

  2. The object travels at a constant velocity.

  3. The object travels at an increasing velocity.

  4. The object travels at a decreasing velocity.

  5. I’m not sure.