+ Workshop: Mathematical Modeling Edward (Joe) Redish & Kimberly Moore Department of Physics University of Maryland + 2 Outline Meet Brief overview of NEXUS/Physics Introduction to Mathematical Modeling System Schema Activity: How big is a worm? Activity: Who has the more powerful pump? Math Modeling Workshop + 3 Meet Introductions Name Discipline Institution & role Do you use math in your instruction? How? Do you use math in your research? How? Math Modeling Workshop + In the summer of 2010, HHMI offered four universities the opportunity to: Develop prototype materials for biologists and pre-meds in Chemistry (Purdue) Math (UMBC) Physics (UMCP) Capstone case study course (U of Miami) that would take an interdisciplinary perspective be competency based Math Modeling Workshop 4 + Changing the course goals 5 Explicitly serve biology students and faculty by articulating with the biology curriculum Provide support for biology majors for difficult physics concepts that they will encounter in biology and chemistry classes, particularly those that cannot be studied in depth in those classes. Do this by using methods common in intro physics Use simplified models to build understanding, Build a sense of physical mechanism, Develop coherences between things that might seem contradictory, etc. Math Modeling Workshop Redish et al., Am. J. Phys 82:5 (2014) 368-377 + New topics Focus on mathematical modeling and explicating assumptions. Do micro and macro examples throughout assuming students know about atoms. Include discussion of chemical energy and reactions Treat random motion as well as coherent. (Labs!) Carefully build the basic statistical mechanics support for thermodynamics (conceptually). Expand treatment of fluids and physics in fluids. Math Modeling Workshop Dreyfus et al., Am. J. Phys 82:5 (2014) 403-411 Geller et al., Am. J. Phys 82:5 (2014) 394-402 Moore et al., Am. J. Phys 82:5 (2014) 387-393 6 + 7 Systems We will be considering situations in which many things acting on each other. In order to make sense of what’s going on, we will focus on a few at a time and create models of what we think is happening. Sometimes we will focus on a set of things as our “system” and consider the influence of everything else as “external”. Some times we will consider something’s internal structure; other times we will consider it as a “black box”. Math Modeling Workshop + System schemas Math Modeling Workshop 8 + 9 What “things” should be considered when thinking about what influences the motion – or non-motion – of the dogs? How do they act on each other? Math Modeling Workshop + 10 What if we only want to consider the motion of dog 2? Math Modeling Workshop + 11 What if we want to consider the motion of both dogs? Math Modeling Workshop + 12 A theoretical framework Tells us what we need to consider in order to describe and think about whatever system we are considering. Objects Relationships Structures Math Modeling Workshop + 13 Math modeling in physics Math Modeling Workshop + 14 Equations in physics Equations as a conceptual organizer Equations as specifying relationships of measurements and functional dependence Equations for calculating something Role of “toy models” Math Modeling Workshop + Equations as a conceptual organizer What does this equation tell you? These relations are independently true for each direction. Force is what you have to pay attention to when considering motion ! aA = Forces change an object’s velocity You have to pick an object to pay attention to Math Modeling Workshop ! net FA 15 What matters is the sum of the forces on the object being considered mA The total force is “shared” to all parts of the object Total force (shared over the parts of the mass) causes an object’s velocity to change + Activity: How big is a worm? The earthworm absorbs oxygen directly through its skin. The worm does have a good circulatory system (with multiple small hearts) that brings the oxygen to all the cells. But the cells are distributed through the worm's volume and the oxygen only gets to come in through the skin -- so the surface to volume ratio plays an important role. Let's see how this works. Here are the worm's parameters. A typical specimen of the common earthworm (Lumbricus terrestris) has the following average dimensions: Mass — 3.7 g Length — 12 cm Width — 0.64 cm The skin of the worm can absorb oxygen at a rate of A = 0.24 µmole/cm2/h. The body of the worm needs to use oxygen at a rate of approximately B = 0.98 µmole/g/h. Math Modeling Workshop 16 + 17 Activity: Who has the more powerful pump? The giraffe and acacia tree both have to raise liquids to a great height. The physics of fluid flow is governed by the Hagen-Poiseuille equation. Math Modeling Workshop + 18 Flow in a pipe: Viscous Drag A fluid flowing in a pipe doesn’t slip through the pipe frictionlessly. The fluid sticks to the walls moves faster at the middle of the pipe than at the edges. As a result, it has to slide over itself (shear). There is friction between layers of fluid moving at different speeds that creates a viscous drag force, trying to reduce the sliding. The drag is proportional to the speed and the length of pipe. Fdrag = 8!µ Lv Math Modeling Workshop + 19 Implication: Pressure drop If we have a fluid moving at a constant rate and there is drag, N2 tells us there must be another force to balance the drag (no change in v) The internal pressure in the fluid must drop in the direction of the flow to balance drag. Drag force Flow in Math Modeling Workshop Flow out Pressure force upstream Pressure force downstream + 20 The Hagen-Poiseuille Equation If the velocity is constant, N2 tells us pressure drop balances the drag: ! Fdrag ! Pupstream AL Rate of flow (volume per sec) !P A = 8"µ Lv ! Pdownstream AR Q = Av # Q& !P A = 8"µ L % ( $ A' # 8"µ L & # 8µL & !P = % 2 ( Q = % Q 4 ( $ A ' $ "R ' Resistance !P = ZQ Math Modeling Workshop Pressure difference Rate of flow + 21 Who has the more powerful pump? What are arguments for the giraffe having the more powerful pump? What are arguments for the acacia having the more powerful pump? How can we resolve this? Math Modeling Workshop
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