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<strong>Introduction</strong> <strong>to</strong><br />

STATICS<br />

<strong>and</strong><br />

DYNAMICS<br />

<strong>Andy</strong> <strong>Ruina</strong> <strong>and</strong> <strong>Rudra</strong> <strong>Pratap</strong><br />

c <strong>Rudra</strong> <strong>Pratap</strong> <strong>and</strong> <strong>Andy</strong> <strong>Ruina</strong>, 1994-2008. All rights reserved. No part of this book may be reproduced, s<strong>to</strong>red in a<br />

retrieval system, or transmitted, in any form or by any means, electronic, mechanical, pho<strong>to</strong>copying, or otherwise, without<br />

prior written permission of the authors.<br />

This book is a pre-release version of a book in progress for Oxford University Press.<br />

Acknowledgements. The following are amongst those who have helped with this book as edi<strong>to</strong>rs, artists, tex programmers,<br />

advisors, critics or sugges<strong>to</strong>rs <strong>and</strong> crea<strong>to</strong>rs of content: William Adams, Alexa Barnes, Joseph Burns, Jason Cortell,<br />

Gabor Domokos, Max Donelan, Thu Dong, Gail Fish, Mike Fox, John Gibson, Robert Ghrist, Saptarsi Haldar, Dave Heimstra,<br />

Theresa Howley, Herbert Hui, Michael Marder, Elaina McCartney, Horst Nowacki, Kalpana <strong>Pratap</strong>, Richard R<strong>and</strong>,<br />

Dane Quinn, C.V. Radakrishnan, Phoebus Rosakis, Les Schaeffer, Ishan Sharma, David Shipman, Jill Startzell, Saskya van<br />

Nouhuys, Tian Tang, Kim Turner <strong>and</strong> Bill Zobrist. We certify Arthur Ogawa, Ivan Dobrianov, <strong>and</strong> Stephen Hicks as TeX<br />

geniuses. Mike Coleman worked extensively on the text, wrote many of the examples <strong>and</strong> homework problems <strong>and</strong> made<br />

many figures. David Ho, R. Manjula <strong>and</strong> Abhay drew or improved most of the drawings. Credit for some of the homework<br />

problems retrieved from Cornell archives is due <strong>to</strong> various Theoretical <strong>and</strong> Applied Mechanics faculty. Harry Soodak <strong>and</strong><br />

Martin Tiersten provided some problems from their incomplete book. Our on-again off-again edi<strong>to</strong>r Peter Gordon has been<br />

supportive throughout. Many other friends, colleagues, relatives, students, <strong>and</strong> anonymous reviewers have also made helpful<br />

suggestions.<br />

Software we have used <strong>to</strong> prepare this book includes TEXshop (for L A TEX), Adobe Illustra<strong>to</strong>r, GraphicsConverter <strong>and</strong> MAT-<br />

LAB.


Brief Contents<br />

Front tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i<br />

Brief Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1<br />

Detailed Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2<br />

Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10<br />

Part I: Basics for Mechanics 22<br />

1 What is mechanics . . . . . . . . . . . . . . . . . . . . . . . . . 22<br />

2 Vec<strong>to</strong>rs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36<br />

3 FBDs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140<br />

Part II: Statics 178<br />

4 Statics of one object . . . . . . . . . . . . . . . . . . . . . . . . . 178<br />

5 Trusses <strong>and</strong> frames . . . . . . . . . . . . . . . . . . . . . . . . . 246<br />

6 Transmissions <strong>and</strong> mechanisms . . . . . . . . . . . . . . . . . . . 308<br />

7 Hydrostatics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360<br />

8 Tension, shear <strong>and</strong> bending moment . . . . . . . . . . . . . . . . 376<br />

Part III: Dynamics 396<br />

9 Dynamics in 1D . . . . . . . . . . . . . . . . . . . . . . . . . . . 396<br />

10 Particles in space . . . . . . . . . . . . . . . . . . . . . . . . . . 514<br />

11 Many particles in space . . . . . . . . . . . . . . . . . . . . . . . 562<br />

12 Straight line motion . . . . . . . . . . . . . . . . . . . . . . . . . 588<br />

13 Circular motion . . . . . . . . . . . . . . . . . . . . . . . . . . . 626<br />

14 Planar motion of an object . . . . . . . . . . . . . . . . . . . . . 734<br />

15 Kinematics using time-varying basis vec<strong>to</strong>rs . . . . . . . . . . . . 820<br />

16 Constrained particles <strong>and</strong> rigid objects . . . . . . . . . . . . . . . 888<br />

Appendices 956<br />

A Units & Center of mass theorems . . . . . . . . . . . . . . . . . . 956<br />

Answers <strong>to</strong> some homework problems . . . . . . . . . . . . . . . . . 976<br />

Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 984<br />

Back tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 989<br />

1


Detailed Contents<br />

Front tables<br />

i<br />

Summary of mechanics . . . . . . . . . . . . . . . . . . . i<br />

Some basic definitions . . . . . . . . . . . . . . . . . . . . ii<br />

Brief Contents 1<br />

Detailed Contents 2<br />

Preface 10<br />

General issues about content, level, organization <strong>and</strong> style, motivation,<br />

how <strong>to</strong> study <strong>and</strong> the use of computers.<br />

0.1 To the student (please read) . . . . . . . . . . . . . . . . . . 14<br />

0.2 A note on computation . . . . . . . . . . . . . . . . . . . . . 18<br />

Box: Informal computer comm<strong>and</strong>s . . . . . . . . . . . . . 21<br />

Part I: Basics for Mechanics 22<br />

1 What is mechanics 22<br />

Mechanics can predict forces <strong>and</strong> motions by using the three pillars of the<br />

subject: I. models of physical behavior, II. geometry, <strong>and</strong> III. the basic<br />

mechanics balance laws. The laws of mechanics are informally summarized<br />

in this introduc<strong>to</strong>ry chapter. The extreme accuracy of New<strong>to</strong>nian<br />

mechanics is emphasized, despite relativity <strong>and</strong> quantum mechanics supposedly<br />

having ‘overthrown’ seventeenth century physics. Various uses<br />

of the word ‘model’ are described.<br />

1.1 The three pillars . . . . . . . . . . . . . . . . . . . . . . . . 23<br />

1.2 Mechanics is wrong, why study it . . . . . . . . . . . . . . 29<br />

1.3 The heirarchy of models . . . . . . . . . . . . . . . . . . . . 31<br />

2 Vec<strong>to</strong>rs 36<br />

The key vec<strong>to</strong>rs for statics, namely relative position, force, <strong>and</strong> moment,<br />

are used <strong>to</strong> motivate needed vec<strong>to</strong>r skills. Notational clarity is emphasized<br />

because correct calculation is impossible without distinguishing<br />

vec<strong>to</strong>rs from scalars. Vec<strong>to</strong>r addition is motivated by the need <strong>to</strong> add<br />

forces <strong>and</strong> relative positions, dot products are motivated as the <strong>to</strong>ol which<br />

reduces vec<strong>to</strong>r equations <strong>to</strong> scalar equations, <strong>and</strong> cross products are motivated<br />

as the formula which correctly calculates the heuristically motivated<br />

quantities of moment <strong>and</strong> moment about an axis.<br />

2


Chapter 0. Detailed Contents Detailed Contents 3<br />

2.1 Notation <strong>and</strong> addition . . . . . . . . . . . . . . . . . . . . . 38<br />

Box 2.1 The scalars in mechanics . . . . . . . . . . . . . . 39<br />

Box 2.2 The Vec<strong>to</strong>rs in Mechanics . . . . . . . . . . . . . 40<br />

2.2 The dot product of two vec<strong>to</strong>rs . . . . . . . . . . . . . . . . 56<br />

Box 2.3 ab cos ) a x b x C a y b y C a z b z . . . . . . . 61<br />

2.3 Cross product <strong>and</strong> moment . . . . . . . . . . . . . . . . . . 65<br />

Box 2.4 Cross product as a matrix multiply . . . . . . . . . 75<br />

Box 2.5 The cross product is distributive over sums . . . . 76<br />

2.4 Solving vec<strong>to</strong>r equations . . . . . . . . . . . . . . . . . . . . 85<br />

Box 2.6 Vec<strong>to</strong>r triangles <strong>and</strong> the laws of sines <strong>and</strong> cosines . 88<br />

Box 2.7 Existence, uniqueness, <strong>and</strong> geometry . . . . . . . 100<br />

2.5 Equivalent force systems . . . . . . . . . . . . . . . . . . . . 105<br />

Box 2.8 means add . . . . . . . . . . . . . . . . . . . . 107<br />

Box 2.9 Equivalent at one point ) equivalent at all points 108<br />

Box 2.10 A “wrench” can represent any force system . . . 109<br />

2.6 Center of mass <strong>and</strong> gravity . . . . . . . . . . . . . . . . . . . 114<br />

Box 2.11 Like , the symbol also means add . . . . . . 115<br />

Box 2.12 Each subsystem is like a particle . . . . . . . . . 119<br />

Box 2.13 The COM of a triangle is at h=3 . . . . . . . . . 123<br />

Problems for Chapter 2 . . . . . . . . . . . . . . . . . . . . . . . 129<br />

3 FBDs 140<br />

A free-body diagram is a sketch of the system <strong>to</strong> which you will apply the<br />

laws of mechanics, <strong>and</strong> all the non-negligible external forces <strong>and</strong> couples<br />

which act on it. The diagram indicates what material is in the system. The<br />

diagram shows what is, <strong>and</strong> what is not, known about the forces. Generally<br />

there is a force or moment component associated with any connection<br />

that causes or prevents a motion. Conversely, there is no force or moment<br />

component associated with motions that are freely allowed. Mechanics<br />

reasoning entirely rests on free body diagrams. Many student errors in<br />

problem solving are due <strong>to</strong> problems with their free body diagrams, so<br />

we give tips about how <strong>to</strong> avoid various common free-body diagram mistakes.<br />

3.1 Interactions, forces & partial FBDs . . . . . . . . . . . . . . 142<br />

Vec<strong>to</strong>r notation for FBDs . . . . . . . . . . . . . . . . . . 145<br />

Box 3.1 Free body diagram first, mechanics reasoning after 152<br />

Box 3.2 Action <strong>and</strong> reaction on partial FBD’s . . . . . . . 154<br />

3.2 Contact: Sliding, friction, <strong>and</strong> rolling . . . . . . . . . . . . . 161<br />

Box 3.3 A problem with the concept of static friction . . . . 165<br />

Box 3.4 A critique of Coulomb friction . . . . . . . . . . . 170<br />

Problems for Chapter 3 . . . . . . . . . . . . . . . . . . . . . . . 174<br />

Part II: Statics 178<br />

4 Statics of one object 178<br />

Equilibrium of one object is defined by the balance of forces <strong>and</strong> moments.<br />

Force balance tells all for a particle. For an extended body mo-


4 Chapter 0. Detailed Contents Detailed Contents<br />

ment balance is also used. There are special shortcuts for bodies with<br />

exactly two or exactly three forces acting. If friction forces are relevant<br />

the possibility of motion needs <strong>to</strong> be taken in<strong>to</strong> account. Many real-world<br />

problems are not statically determinate <strong>and</strong> thus only yield partial solutions,<br />

or full solutions with extra assumptions.<br />

4.1 Static equilibrium of a particle . . . . . . . . . . . . . . . . . 180<br />

Box 4.1 Existence <strong>and</strong> uniqueness . . . . . . . . . . . . . 184<br />

Box 4.2 The simplification of dynamics <strong>to</strong> statics . . . . . . 186<br />

4.2 Equilibrium of one object . . . . . . . . . . . . . . . . . . . 192<br />

Box 4.3 Two-force bodies . . . . . . . . . . . . . . . . . . 197<br />

Box 4.4 Three-force bodies . . . . . . . . . . . . . . . . . 198<br />

Box 4.5 Moment balance about 3 points is sufficient in 2D . 199<br />

4.3 Equilibrium with frictional contact . . . . . . . . . . . . . . 204<br />

Box 4.6 Wheels <strong>and</strong> two force bodies . . . . . . . . . . . . 208<br />

4.4 Internal forces . . . . . . . . . . . . . . . . . . . . . . . . . 218<br />

4.5 3D statics of one part . . . . . . . . . . . . . . . . . . . . . 224<br />

Problems for Chapter 4 . . . . . . . . . . . . . . . . . . . . . . . 233<br />

5 Trusses <strong>and</strong> frames 246<br />

Here we consider collections of parts assembled so as <strong>to</strong> hold something<br />

up or hold something in place. Emphasis is on trusses, assemblies of<br />

bars connected by pins at their ends. Trusses are analyzed by drawing<br />

free body diagrams of the pins or of bigger parts of the truss (method<br />

of sections). Frameworks built with other than two-force bodies are also<br />

analyzed by drawing free body diagrams of parts. Structures can be rigid<br />

or not <strong>and</strong> redundant or not, as can be determined by the collection of<br />

equilibrium equations.<br />

5.1 Method of joints . . . . . . . . . . . . . . . . . . . . . . . . 248<br />

5.2 The method of sections . . . . . . . . . . . . . . . . . . . . 260<br />

5.3 Solving trusses on a computer . . . . . . . . . . . . . . . . . 267<br />

5.4 Frames . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277<br />

Box 5.1 The ‘method of bars <strong>and</strong> pins’ for trusses . . . . . 280<br />

5.5 3D trusses <strong>and</strong> advanced truss concepts . . . . . . . . . . . . 287<br />

Box 5.2 Stuctural rigidity <strong>and</strong> geometric congruence . . . 293<br />

Box 5.3 Rigidity, redundancy, linear algebra <strong>and</strong> maps . . 294<br />

Problems for Chapter 5 . . . . . . . . . . . . . . . . . . . . . . . 302<br />

6 Transmissions <strong>and</strong> mechanisms 308<br />

Some collections of solid parts are assembled so as <strong>to</strong> cause force or<br />

<strong>to</strong>rque in one place given a different force or <strong>to</strong>rque in another. These<br />

include levers, gear boxes, presses, pliers, clippers, chain drives, <strong>and</strong><br />

crank-drives. Besides solid parts connected by pins, a few specialpurpose<br />

parts are commonly used, including springs <strong>and</strong> gears. Tricks<br />

for amplifying force are usually based on principals idealized by pulleys,<br />

levers, wedges <strong>and</strong> <strong>to</strong>ggles. Force-analysis of transmissions <strong>and</strong><br />

mechanisms is done by drawing free body diagrams of the parts, writing<br />

equilibrium equations for these, <strong>and</strong> solving the equations for desired<br />

unknowns.


Chapter 0. Detailed Contents Detailed Contents 5<br />

6.1 Springs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310<br />

Box 6.1 ‘Zero-length’ springs . . . . . . . . . . . . . . . . 311<br />

Box 6.2 A puzzle with two springs <strong>and</strong> three ropes. . . . . . 318<br />

Box 6.3 How stiff a spring is a solid rod . . . . . . . . . . 319<br />

Box 6.4 Stiffer but weaker . . . . . . . . . . . . . . . . . . 319<br />

Box 6.5 2D geometry of spring stretch . . . . . . . . . . . 321<br />

6.2 Force amplification . . . . . . . . . . . . . . . . . . . . . . 330<br />

6.3 Mechanisms . . . . . . . . . . . . . . . . . . . . . . . . . . 340<br />

Box 6.6 Shears with gears . . . . . . . . . . . . . . . . . . 344<br />

Problems for Chapter 6 . . . . . . . . . . . . . . . . . . . . . . . 351<br />

7 Hydrostatics 360<br />

Hydrostatics concerns the equivalent force <strong>and</strong> moment due <strong>to</strong> distributed<br />

pressure on a surface from a still fluid. Pressure increases with depth.<br />

With constant pressure the equivalent force has magnitude = pressure<br />

times area, acting at the centroid. For linearly-varying pressure on a<br />

rectangular plate the equivalent force is the average pressure times the<br />

area acting 2/3 of the way down. The net force acting on a <strong>to</strong>tally submerged<br />

object in a constant density fluid is the displace weight acting at<br />

the centroid.<br />

7.1 Fluid pressure . . . . . . . . . . . . . . . . . . . . . . . . . 361<br />

Box 7.1 Adding forces <strong>to</strong> derive Archimedes’ principle . . . 364<br />

Box 7.2 Pressure depends on position but not on orientation 365<br />

Problems for Chapter 7 . . . . . . . . . . . . . . . . . . . . . . . 373<br />

8 Tension, shear <strong>and</strong> bending moment 376<br />

The ‘internal forces’ tension, shear <strong>and</strong> bending moment can vary from<br />

point <strong>to</strong> point in long narrow objects. Here we introduce the notion of<br />

graphing this variation <strong>and</strong> noting the features of these graphs.<br />

8.1 Arbitrary cuts . . . . . . . . . . . . . . . . . . . . . . . . . 377<br />

Problems for Chapter 8 . . . . . . . . . . . . . . . . . . . . . . . 393<br />

Part III: Dynamics 396<br />

9 Dynamics in 1D 396<br />

The scalar equation F D ma introduces the concepts of motion <strong>and</strong> time<br />

derivatives <strong>to</strong> mechanics. In particular the equations of dynamics are<br />

seen <strong>to</strong> reduce <strong>to</strong> ordinary differential equations, the simplest of which<br />

have memorable analytic solutions. The harder differential equations<br />

need be solved on a computer. We explore various concepts <strong>and</strong> applications<br />

involving momentum, power, work, kinetic <strong>and</strong> potential energies,<br />

oscillations, collisions <strong>and</strong> multi-particle systems.<br />

9.1 Force <strong>and</strong> motion in 1D . . . . . . . . . . . . . . . . . . . . 398<br />

Box 9.1 What do the terms in F D ma mean . . . . . . . 403<br />

Box 9.2 Solutions of the simplest ODEs . . . . . . . . . . . 408<br />

Box 9.3 D’Alembert’s mechanics: beginners beware . . . . 411<br />

9.2 Energy methods in 1D . . . . . . . . . . . . . . . . . . . . . 418


6 Chapter 0. Detailed Contents Detailed Contents<br />

Box 9.4 Particle models for the energetics of locomotion . . 429<br />

9.3 Vibrations: mass, spring <strong>and</strong> dashpot . . . . . . . . . . . . . 436<br />

Box 9.5 A cos.t/ C B sin.t/ D R cos.t / . . . . . 441<br />

Box 9.6 Solution of the damped-oscilla<strong>to</strong>r equations . . . . 447<br />

9.4 Coupled motions in 1D . . . . . . . . . . . . . . . . . . . . 461<br />

Box 9.7 Normal modes: the math <strong>and</strong> the recipe . . . . . . 468<br />

9.5 Collisions in 1D . . . . . . . . . . . . . . . . . . . . . . . . 476<br />

Box 9.8 When equal rods collide the vibrations disappear . 481<br />

9.6 Advanced: forcing & resonance . . . . . . . . . . . . . . . . 485<br />

Box 9.9 A Loudspeaker cone is a forced oscilla<strong>to</strong>r. . . . . . 490<br />

Box 9.10 Solution of the forced oscilla<strong>to</strong>r equation . . . . . 492<br />

Box 9.11 The vocabulary of forced oscillations . . . . . . . 493<br />

Problems for Chapter 9 . . . . . . . . . . . . . . . . . . . . . . . 501<br />

10 Particles in space 514<br />

This chapter is about the vec<strong>to</strong>r equation F<br />

* D m * a for one particle.<br />

Concepts <strong>and</strong> applications include ballistics <strong>and</strong> planetary motion. The<br />

differential equations of motion are set-up in cartesian coordinates <strong>and</strong><br />

integrated either numerically, or for special simple cases, by h<strong>and</strong>. Constraints,<br />

forces from ropes, rods, chains floors, rails <strong>and</strong> guides that can<br />

only be found once one knows the acceleration, are not considered.<br />

Box 10.1 New<strong>to</strong>n’s laws in New<strong>to</strong>nian reference frames . . 516<br />

10.1 Dynamics of a particle in space . . . . . . . . . . . . . . . . 517<br />

Box 10.2 The derivative of a vec<strong>to</strong>r depends on frame . . . 524<br />

10.2 Momentum <strong>and</strong> energy . . . . . . . . . . . . . . . . . . . . 533<br />

Box 10.3 Conservative forces <strong>and</strong> non-conservative forces 539<br />

Box 10.4 Particle theorems for momenta <strong>and</strong> energy . . . . 541<br />

10.3 Central-force motion <strong>and</strong> celestial mechanics . . . . . . . . . 545<br />

Problems for Chapter 10 . . . . . . . . . . . . . . . . . . . . . . . 555<br />

11 Many particles in space 562<br />

This more advanced chapter concerns the motion of two or more particles<br />

in space. We will use * F D m * a for each particle. We will use Cartesian<br />

coordinates only. The start is the set up of “two-body” type problems<br />

which are easily generalized <strong>to</strong> 3 or more particles. The first section concerns<br />

smooth motions due <strong>to</strong> forces from gravity, springs, smoothly applied<br />

forces <strong>and</strong> friction. The second section concerns the sudden change<br />

in velocities when impulsive forces are applied.<br />

11.1 Coupled particle motion . . . . . . . . . . . . . . . . . . . . 564<br />

11.2 particle collisions . . . . . . . . . . . . . . . . . . . . . . . 572<br />

Box 11.1 Effective mass . . . . . . . . . . . . . . . . . . . 574<br />

Box 11.2 Energetics of collisions . . . . . . . . . . . . . . 575<br />

Box 11.3 Coefficient of generation . . . . . . . . . . . . . 578<br />

Box 11.4 A particle collision model of running . . . . . . . 579<br />

Problems for Chapter 11 . . . . . . . . . . . . . . . . . . . . . . . 584<br />

12 Straight line motion 588


Chapter 0. Detailed Contents Detailed Contents 7<br />

Here is an introduction <strong>to</strong> kinematic constraint in its simplest context,<br />

systems that are constrained <strong>to</strong> move without rotation in a straight line.<br />

In one dimension pulley problems provide the main example. Two <strong>and</strong><br />

three dimensional problems are covered, such as finding structural support<br />

forces in accelerating vehicles <strong>and</strong> the slowing or incipient capsize<br />

of a braking car or bicycle. Angular momentum balance is introduced as<br />

a needed <strong>to</strong>ol but without the complexities of rotatioinal kinematics.<br />

12.1 1D motion <strong>and</strong> pulleys . . . . . . . . . . . . . . . . . . . . . 590<br />

12.2 1D motion w/ 2D & 3D forces . . . . . . . . . . . . . . . . . 601<br />

Box 12.1 Calculation of * H =C<br />

<strong>and</strong> P *<br />

H=C . . . . . . . . . . . 603<br />

Problems for Chapter 12 . . . . . . . . . . . . . . . . . . . . . . . 614<br />

13 Circular motion 626<br />

After movement on straight-lines the second important special case of<br />

motion is rotation on a circular path. Polar coordinates <strong>and</strong> base vec<strong>to</strong>rs<br />

are introduced in this simplest possible context. The key new idea is that<br />

not just coordinates, but base vec<strong>to</strong>rs, can change with time. The primary<br />

applications are pendulums, gear trains, <strong>and</strong> rotationally accelerating<br />

mo<strong>to</strong>rs or brakes.<br />

13.1 Circular motion kinematics . . . . . . . . . . . . . . . . . . 628<br />

Box 13.1 The motion quantities . . . . . . . . . . . . . . . 632<br />

13.2 Dynamics of particle circular motion . . . . . . . . . . . . . 639<br />

Box 13.2 Other derivations of the pendulum equation . . . 643<br />

13.3 2D rigid-object rotation . . . . . . . . . . . . . . . . . . . . 650<br />

Box 13.3 Rotation is uniquely defined for a rigid object (2D) 651<br />

13.4 2D rigid-object angular velocity . . . . . . . . . . . . . . . . 658<br />

Box 13.4 The fixed New<strong>to</strong>nian reference frame F . . . . . 659<br />

Box 13.5 Pla<strong>to</strong> on spinning in circles as motion (or not) . . 660<br />

Box 13.6 Acceleration of a point, using * ! . . . . . . . . . 661<br />

Box 13.7 Angular velocity * ! <strong>and</strong> the rotation matrix ŒR . 664<br />

13.5 Polar moment of inertia . . . . . . . . . . . . . . . . . . . . 670<br />

Box 13.9 Some examples of 2-D Moment of Inertia . . . . 674<br />

Box 13.8 The perpendicular <strong>and</strong> parallel axis theorems . . 676<br />

13.6 Dynamics of rigid-object planar circular motion . . . . . . . 681<br />

Box 13.10 Angular momentum <strong>and</strong> power . . . . . . . . . 685<br />

Problems for Chapter 13 . . . . . . . . . . . . . . . . . . . . . . . 712<br />

14 Planar motion of an object 734<br />

The main goal here is <strong>to</strong> generate equations of motion for general planar<br />

motion of a (planar) rigid object that may roll, slide or be in free flight.<br />

Multi-object systems are also considered so long as they do not involve<br />

other kinematic constraints between the bodies. Features of the solution<br />

that can be obtained from analysis are discussed, as are numerical solutions.<br />

14.1 Rigid object kinematics . . . . . . . . . . . . . . . . . . . . 736<br />

14.2 Mechanics of a rigid-object . . . . . . . . . . . . . . . . . . 752<br />

Box 14.1 2-D mechanics makes sense in a 3-D world . . . 758<br />

Box 14.2 The center-of-mass theorems for 2-D rigid bodies 759


8 Chapter 0. Detailed Contents Detailed Contents<br />

Box 14.3 The work of a moving force <strong>and</strong> of a couple . . . 760<br />

Box 14.4 The vec<strong>to</strong>r triple product * A ¢ . * B ¢ * C / . . . . . 761<br />

14.3 Kinematics of rolling <strong>and</strong> sliding . . . . . . . . . . . . . . . 767<br />

Box 14.5 The Sturmey-Archer hub . . . . . . . . . . . . . 770<br />

14.4 Mechanics of contact . . . . . . . . . . . . . . . . . . . . . 780<br />

14.5 Collisions . . . . . . . . . . . . . . . . . . . . . . . . . . . 798<br />

15 Kinematics using time-varying basis vec<strong>to</strong>rs 820<br />

Here is a second take on the kinematics of particle motion but now using<br />

base vec<strong>to</strong>rs which change with time. The discussion of polar coordinates<br />

started in Chapter 13 is completed here. Path coordinates, where one<br />

base vec<strong>to</strong>r is parellel <strong>to</strong> the velocity <strong>and</strong> the others orthogonal <strong>to</strong> that,<br />

are introduced. The challenging <strong>to</strong>pic of kinematics of relative motion<br />

is in two stages: first using rotating base vec<strong>to</strong>rs connected <strong>to</strong> a moving<br />

rigid object <strong>and</strong> then using the more abstract notation associated with<br />

frame-dependent differentiation <strong>and</strong> the famous “five term acceleration<br />

formula.”<br />

15.1 Polar coordinates <strong>and</strong> path coordinates . . . . . . . . . . . . 821<br />

15.2 Rotating frames <strong>and</strong> their base vec<strong>to</strong>rs . . . . . . . . . . . . 836<br />

Box 15.1 The P * Q formula . . . . . . . . . . . . . . . . . . 845<br />

15.3 General formulas for * v <strong>and</strong> * a . . . . . . . . . . . . . . . . . 850<br />

Box 15.2 Moving frames <strong>and</strong> polar coordinates . . . . . . 856<br />

15.4 Kinematics of 2-D mechanisms . . . . . . . . . . . . . . . . 862<br />

15.5 Advanced kinematics of planar motion . . . . . . . . . . . . 875<br />

Box 15.3 Skates, wheels <strong>and</strong> non-holonomic constraints . . 877<br />

16 Constrained particles <strong>and</strong> rigid objects 888<br />

The dynamics of particles <strong>and</strong> rigid bodies is studied using the relativemotion<br />

kinematics ideas from chapter 15. This is the caps<strong>to</strong>ne chapter<br />

for a two-dimensional dynamics course. After this chapter a good student<br />

should be able <strong>to</strong> navigate through <strong>and</strong> use most of the skills in the<br />

concept map inside the back cover.<br />

16.1 Mechanics of a constrained particle . . . . . . . . . . . . . . 890<br />

Box 16.1 Some brachis<strong>to</strong>chrone curiosities . . . . . . . . . 896<br />

16.2 One-degree-of-freedom 2-D mechanisms . . . . . . . . . . . 912<br />

Box 16.2 Ideal constraints <strong>and</strong> workless constraints . . . . 913<br />

Box 16.3 1 DOF systems oscillate at E P minima . . . . . . 918<br />

16.3 Multi-degree-of-freedom 2-D mechanisms . . . . . . . . . . 926<br />

Appendices 956<br />

A Units & Center of mass theorems 956<br />

Some things that are important, but don’t fit in the flow of a homeworkdriven<br />

course.<br />

First, issues related <strong>to</strong> units <strong>and</strong> dimensions, most importantly that a<br />

quantity is the product of a number <strong>and</strong> a unit. Thus units are part of a<br />

calculation. Some simple advice follows: a) balance units, b) carry units<br />

<strong>and</strong> c) check units. Rules for changing units also follow.


Chapter 0. Detailed Contents Detailed Contents 9<br />

Second, the center of mass allows simplifications for expressions for<br />

momentum, angular momentum, <strong>and</strong> kinetic energy. Furthermore, the<br />

energy equations for systems of particles provide foreshadowing for the<br />

first law of thermodynamics.<br />

A.1 Units <strong>and</strong> dimensions . . . . . . . . . . . . . . . . . . . . . 957<br />

Box A.1 Examples of advised <strong>and</strong> ill-advised use of units . 963<br />

Box A.2 Improvement <strong>to</strong> the old h<strong>and</strong>book approach . . . . 964<br />

Box A.3 Force, Weight <strong>and</strong> English Units . . . . . . . . . . 966<br />

A.2 Theorems for Systems . . . . . . . . . . . . . . . . . . . . . 967<br />

Box A.4 Velocity <strong>and</strong> acceleration of the center-of-mass . . 967<br />

Box A.5 Simplifying H * =C<br />

using the center of mass . . . . . 970<br />

*<br />

Box A.6 Relation between d H<br />

dt =C<br />

<strong>and</strong> H * =C<br />

. . . . . . . . . 972<br />

Box A.7 Using H * *<br />

=O<br />

<strong>and</strong> P H=O <strong>to</strong> find H * *<br />

=C<br />

<strong>and</strong> P H=C . . . . . 973<br />

Box A.8 System momentum balance from * F D m * a . . . . . 974<br />

Box A.9 Rigid-object simplifications . . . . . . . . . . . . 975<br />

Answers <strong>to</strong> some homework problems 976<br />

Index 984<br />

Back tables 989<br />

Momenta <strong>and</strong> energy formulas . . . . . . . . . . . . . . . 989<br />

* v <strong>and</strong><br />

* a by various methods . . . . . . . . . . . . . . . . . 990<br />

Moment of inertia: general facts . . . . . . . . . . . . . . 991<br />

Moment of inertia: example objects . . . . . . . . . . . . . 992<br />

Concept map for Dynamics problems . . . . . . . . . . . . 993


10 Chapter 0. Preface Preface<br />

Preface<br />

General issues about content, level, organization <strong>and</strong> style, motivation, how<br />

<strong>to</strong> study <strong>and</strong> the use of computers.<br />

This is an engineering statics <strong>and</strong> dynamics text intended as both an introduction<br />

<strong>and</strong> as a reference. It is aimed primarily at middle-level engineering<br />

students. The book emphasizes use of vec<strong>to</strong>rs, free-body diagrams, momentum<br />

<strong>and</strong> energy balance <strong>and</strong> computation. Intuitive approaches are discussed<br />

throughout.<br />

Prerequisite <strong>and</strong> co-requisite skills.<br />

some skills.<br />

We assume some students start with<br />

Freshman calcululus. Readers are assumed <strong>to</strong> have facility with the<br />

basic geometry, algebra, trigonometry, differentiation <strong>and</strong> integration<br />

used in elementary calculus. Some of these <strong>to</strong>pics are briefly reviewed<br />

in this book, but not as ab initio tu<strong>to</strong>rials.<br />

This books shows how <strong>to</strong> set-up algebraic <strong>and</strong> differential equations for computer<br />

solution using a pseudo-language easily translated in<strong>to</strong> any common<br />

computer language or package.<br />

We assume the student knows or is learning a computer language or<br />

package in which they can solve sets of linear algebraic equations,<br />

make plots <strong>and</strong> numerically integrate simple ordinary differential equations.<br />

Many students will have had exposure <strong>to</strong> other useful subjects detailed foreknowledge<br />

of which this book does not assume.<br />

Completion of freshman physics may help but is not needed.<br />

Vec<strong>to</strong>r <strong>to</strong>pics, especially dot <strong>and</strong> cross products, are introduced here<br />

from scratch in the context of mechanics.<br />

A background in linear algebra wouldn’t hurt, but the reduction of linear<br />

equations <strong>to</strong> matrix form is taught here. A key fact from linear<br />

algebra, also presented here, is that linear algebraic equations are generally<br />

amenable <strong>to</strong> simple computer solution.<br />

A course in differential equations would also add context. But the basic<br />

concepts of differential equations are presented here as needed.


Chapter 0. Preface Preface 11<br />

Organization<br />

Mechanics could be subdivided in<strong>to</strong> statics vs dynamics, particle vs rigid object<br />

vs many objects (‘multi-object’), <strong>and</strong> 1 vs 2 vs 3 spatial dimensions (1D,<br />

2D & 3D). Thus a mechanics table of contents might have one chunk of text<br />

for each of the 2 ¢ 3 ¢ 3 D 18 combinations:<br />

I. Statics<br />

II. Dynamics<br />

A. particle<br />

£ 1D, 2D, 3D<br />

B. rigid object<br />

£ 1D, 2D, 3D<br />

C. many objects<br />

£ 1D, 2D, 3D<br />

A. particle<br />

£ 1D, 2D, 3D<br />

B. rigid object<br />

£ 1D, 2D, 3D<br />

C. many objects<br />

£ 1D, 2D, 3D<br />

However, these 2 ¢ 3 ¢ 3 D 18 chunks vary greatly in difficulty; 1D statics<br />

is low-level high school material <strong>and</strong> 3D multi-object dynamics is difficult<br />

graduate material. Further, the chunks use various overlapping concepts <strong>and</strong><br />

skills. So it is not sensible <strong>to</strong> organize a book in<strong>to</strong> 18 corresponding chapters.<br />

Nonetheless, some vestiges of the scheme above are used in all books, <strong>and</strong><br />

the general flow of this book is from the bot<strong>to</strong>m back left corner of the box in<br />

the figure, <strong>to</strong>wards the diagonal opposite. The details of the organization, as<br />

visible in the annotated table of contents on the previous pages, has evolved<br />

through trial <strong>and</strong> error, review <strong>and</strong> revision, <strong>and</strong> many semesters of student<br />

testing.<br />

The first eight chapters cover the basics of statics <strong>and</strong> the rest of the book<br />

covers the basics of engineering dynamics. Relatively harder <strong>to</strong>pics, which<br />

might be skipped in quicker or less-advanced courses, are identifiable by<br />

chapter, section or subsection titles like “three-dimensional” or “advanced”.<br />

many<br />

bodies<br />

one <br />

body<br />

particle<br />

static<br />

dynamic<br />

complexity<br />

of objects<br />

1D<br />

how much<br />

inertia<br />

2D<br />

number of <br />

spatial<br />

dimensions<br />

3D<br />

Coverage for courses. The sections have been divided so that the homework<br />

problems selected from one section are usually about half of a typical<br />

weekly homework assignment. The theory <strong>and</strong> examples from one section<br />

might be adequately covered in about one lecture, plus or minus.<br />

A leisurely one semester statics course, or a more fast-paced halfsemester<br />

prelude <strong>to</strong> strength of materials should use chapters 1-8, excluding<br />

<strong>to</strong>pics of less interest. A typical one semester dynamics course will cover<br />

most of of chapters 9-16, reviewing chapters 1-3 at the start. A lower-level<br />

one-semester statics <strong>and</strong> dynamics course can cover the less advanced parts<br />

of chapters 1-6 <strong>and</strong> 9-14. An advanced full-year statics <strong>and</strong> dynamics course<br />

could cover most of the book. That is, the statics portion of the book fits<br />

easily in a semester <strong>and</strong> the whole of the dynamics portion in a bit more than<br />

a semester. Chapters 15-16 can also be used as a start for a second advanced<br />

dynamics course. A student who has learned the statics part of this book is<br />

well-prepared for using statics in engineering practice, for learning Strength<br />

of Materials <strong>and</strong> for going on <strong>to</strong> Dynamics. A student who has learned the<br />

dynamics portion is well prepared <strong>to</strong> go on <strong>to</strong> learn Vibrations, Systems Dy-


12 Chapter 0. Preface Preface<br />

namics or more advanced Multi-object Dynamics.<br />

Organization <strong>and</strong> formatting<br />

Each subject is covered in various ways.<br />

Every section starts with descriptive text <strong>and</strong> short examples motivating<br />

<strong>and</strong> describing the theory;<br />

More detailed explanations of the theory are in boxes interspersed in<br />

the text. For example, one box explains the common derivation of angular<br />

momentum balance from * F D m * a (page 974), one explains the<br />

genius of the wheel (page 208), <strong>and</strong> another connects * ! based kinematics<br />

<strong>to</strong> Oe r <strong>and</strong> Oe based kinematics (page 856);<br />

Sample problems (marked with a gray border) at the end of each section<br />

show how <strong>to</strong> do homework-like calculations. These set an example<br />

by their consistent use of free-body diagrams, systematic application<br />

of basic principles, vec<strong>to</strong>r notation, units, <strong>and</strong> checks against both intuition<br />

<strong>and</strong> special cases;<br />

Homework problems at the end of each chapter give students a chance<br />

<strong>to</strong> practice mechanics calculations. The first problems for each section<br />

build a student’s confidence with the basic ideas. The problems are<br />

ranked in approximate order of difficulty, with theoretical problems<br />

coming later. Problems marked with a * have an answer at the back<br />

of the book;<br />

Reference tables on the inside covers <strong>and</strong> end pages concisely summarize<br />

much of the content in the book. These tables can save students<br />

the time of hunting for formulas <strong>and</strong> definitions.<br />

Notation<br />

Clear vec<strong>to</strong>r notation helps students do problems. One common class of<br />

student errors comes from copying a textbook’s printed bold vec<strong>to</strong>r F the<br />

same way as a plain-text scalar F . We reduce this error by use a redundant<br />

vec<strong>to</strong>r notation, a bold <strong>and</strong> harpooned F * .<br />

As for all authors <strong>and</strong> teachers concerned with motion in two <strong>and</strong> three<br />

dimensions we have struggled with the tradeoffs between a precise notation<br />

<strong>and</strong> a simple notation. Perfectly precise notations are complex <strong>and</strong> intimidating.<br />

Simple notations are ambiguous <strong>and</strong> hide key information. Our attempt<br />

at clarity without <strong>to</strong>o-much clutter is summarized in the box on page 40.<br />

1 For example, we use angular<br />

momentum balance (appropriately<br />

expressed) with respect <strong>to</strong> any possiblyaccelerating<br />

point, not just points<br />

selected from an arcane list.<br />

Relation <strong>to</strong> other mechanics books<br />

The bulk of the content of this book can be found in other places including<br />

freshman physics texts, other engineering texts, <strong>and</strong> hundreds of classics.<br />

Nonetheless this book is in some ways different in organization <strong>and</strong> approach.<br />

It also uses some important but not well-enough known concepts 1 .<br />

Mastery of freshman physics (e.g., from Halliday, Resnick & Walker, Tipler,


Chapter 0. Preface Preface 13<br />

or Serway) would encompass some of this book’s contents. However, after<br />

freshman physics students often have only a vague notion of what mechanics<br />

is, <strong>and</strong> how it can be used. For example many students leave freshman<br />

physics with the sense that a free-body diagram (or ‘force diagram’) is a<br />

vague conceptual picture with arrows for various forces <strong>and</strong> motions drawn<br />

on it this way <strong>and</strong> that. Even the freshman-text illustrations sometimes do not<br />

make clear which force is acting on which object. Also, because freshman<br />

physics tends <strong>to</strong> avoid use of college math, many students leave freshman<br />

physics with little sense of how <strong>to</strong> use vec<strong>to</strong>rs or calculus <strong>to</strong> solve mechanics<br />

problems. This book aims <strong>to</strong> lead students who may start with these fuzzy<br />

freshman-physics notions in<strong>to</strong> a world of precise, yet still intuitive, mechanics.<br />

Various statics <strong>and</strong> dynamics textbooks cover much of the same material<br />

as this one. These textbooks have modern applications, ample samples, lots<br />

of pictures, <strong>and</strong> lots of homework problems. Many are excellent in some<br />

ways. Most of <strong>to</strong>day’s engineering professors learned from one of these<br />

books. Nonetheless we wrote this book hoping <strong>to</strong> do still better. Some of<br />

our goals include<br />

showing the unity of the subject,<br />

presenting a complete description of the subject,<br />

clear notation in figures <strong>and</strong> equations,<br />

integration of the applicability of computers,<br />

consistent use of units throughout,<br />

introduction of various insights in<strong>to</strong> how things work,<br />

a friendly writing style.<br />

Between about 1689 <strong>and</strong> 1960 hundreds of books were written with titles<br />

like Statics, Engineering mechanics, Dynamics, Machines, Mechanisms,<br />

Kinematics, or Elementary physics. Many thoughtfully cover most of the<br />

material here <strong>and</strong> sometimes much more. But none are good modern textbooks;<br />

they lack an appropriate pace, style <strong>and</strong> organization; they are <strong>to</strong>o<br />

reliant on geometry skills <strong>and</strong> not enough on vec<strong>to</strong>rs <strong>and</strong> numerics; <strong>and</strong> they<br />

don’t have enough modern applications, samples calculations, illustrations,<br />

or homework problems. But much good mechanics can be found only in<br />

these older books 2 . If you love mechanics you will enjoy pondering ideas<br />

in some of these books.<br />

What do you think<br />

We have tried <strong>to</strong> make it as easy as possible for you <strong>to</strong> learn basic mechanics<br />

from this book. We present truth as we know it <strong>and</strong> as we think it is effectively<br />

communicated. Nonetheless we have surely made some technical <strong>and</strong><br />

strategic errors. Please let us know your thoughts so that we can improve<br />

future editions.<br />

<strong>Rudra</strong> <strong>Pratap</strong>, pratap@mecheng.iisc.ernet.in<br />

<strong>Andy</strong> <strong>Ruina</strong>,<br />

ruina@cornell.edu<br />

2 Here are three good <strong>and</strong> universally<br />

respected classics:<br />

J.P. Den Har<strong>to</strong>g’s Mechanics originally<br />

published in 1948 but still<br />

available as an inexpensive reprint (well<br />

written <strong>and</strong> insightful);<br />

J.L. Synge <strong>and</strong> B.A. Griffith, Principles<br />

of Mechanics through page 408. Originally<br />

published in 1942, reprinted in<br />

1959 (good pedagogy but dry); <strong>and</strong><br />

E.J. Routh’s, Dynamics of a System<br />

of rigid bodies, Vol 1 (the<br />

“elementary” part through chapter 7.<br />

Originally published in 1905, but<br />

reprinted in 1960). Routh also has 5<br />

other idea- packed statics <strong>and</strong> dynamics<br />

books. Routh shared college graduation<br />

honors with the now-more-famous<br />

physicist James Clerk Maxwell.


14 Chapter 0. Preface 0.1. To the student (please read)<br />

0.1 To the student (please read)<br />

Nature’s rules are so strict that, <strong>to</strong> the extent that you know the rules, you can<br />

make reliable predictions about how Nature, the set of all things, behave. In<br />

particular, most objects of concern <strong>to</strong> engineers obediently follow a subset of<br />

Nature’s rules called the laws of New<strong>to</strong>nian mechanics. So, if you learn the<br />

laws of mechanics, as this book should help you <strong>to</strong> do, you will be able <strong>to</strong><br />

make quantitative predictions about how things st<strong>and</strong>, move, <strong>and</strong> fall. And<br />

you will gain intuition about the mechanics part of Nature’s rules.<br />

How <strong>to</strong> use this book<br />

Here is some general guidance.<br />

1 “Exams are harder than homework.”<br />

Some struggling students say “I<br />

can do the homework problems. I just<br />

can’t do the exams. Exams are harder<br />

<strong>and</strong> trickier.” These students may be<br />

fooling themselves. Most exams are not<br />

trickier than the homework. And when<br />

we have checked, many students who<br />

got through homework with help, can’t<br />

do simplified versions of those same<br />

problems when they have no help.<br />

Check your own underst<strong>and</strong>ing<br />

Most likely you want a decent grade by successfully getting through the<br />

homework assignements <strong>and</strong> exams. You will naturally get help by looking<br />

at examples <strong>and</strong> samples in the text or lecture notes, by looking up formulas<br />

in the front <strong>and</strong> back covers of this book, <strong>and</strong> by asking questions of friends,<br />

teaching assistants <strong>and</strong> professors. What good are books, notes, classmates<br />

or teachers if they don’t help you do the homework All the examples <strong>and</strong><br />

sample problems in this book, for example, are just for this purpose.<br />

But watch out. Too-much use of help from books, notes <strong>and</strong> people can<br />

lead <strong>to</strong> self deception 1 . After you have got through a problem using such<br />

help you should, at least sometimes, check that you have actually learned <strong>to</strong><br />

solve the problem.<br />

To see if you have learned <strong>to</strong> do a problem, do it again, justifying each<br />

step, without looking up even one small (‘oh, I almost knew that’) thing.<br />

If you can’t do this, you gain two learning opportunities. First, you can learn<br />

the missing skill or idea. But more deeply, by getting stuck after you have<br />

been able <strong>to</strong> get through with help, you can learn things about your learning<br />

process. Often the real source of difficulty isn’t a key formula or fact, but<br />

something more subtle. Some useful more subtle ideas might be explained<br />

in the general text discussions.<br />

Read the parts that are at your level<br />

You might be science <strong>and</strong> math school-smart, mechanically inclined, or are<br />

especially motivated <strong>to</strong> learn mechanics. Or you might be reluctantly taking<br />

this class <strong>to</strong> fulfil a requirement. In either case this book is meant for you.<br />

The sections start with generally accessible introduc<strong>to</strong>ry material <strong>and</strong> include<br />

simple examples. The early sample problems in each section are also easy.<br />

But we also have discussions of the theory <strong>and</strong> other more advanced applications<br />

<strong>and</strong> asides <strong>to</strong> challenge more motivated students. If you are a nerd,


Chapter 0. Preface 0.1. To the student (please read) 15<br />

please be patient with the slow introductions <strong>and</strong> the calculations that go line<br />

by line without skipping steps. On the other h<strong>and</strong>, if you are just trying <strong>to</strong><br />

get through this course you need not s<strong>to</strong>p <strong>and</strong> admire every side discussion<br />

about his<strong>to</strong>ry or theory.<br />

Calculation strategies <strong>and</strong> skills<br />

We try <strong>to</strong> demonstrate a systematic approach <strong>to</strong> solving problems. But its<br />

impossible <strong>to</strong> reduce all mechanics problem solutions <strong>to</strong> one clear recipe (despite<br />

the generally applicable recipe on the inside back cover). If a precise<br />

recipe existed then someone could write a computer program that followed<br />

it, <strong>and</strong> we would not have written this textbook. Your mind could be freed<br />

from mechanics problem solutions like a calcula<strong>to</strong>r frees you from the tedium<br />

of long division. But there is an art <strong>to</strong> solving mechanics problems <strong>and</strong><br />

underst<strong>and</strong>ing their solutions. This applies <strong>to</strong> homework problems <strong>and</strong> also<br />

engineering design problems. Art <strong>and</strong> human insight, as opposed <strong>to</strong> precise<br />

algorithm or recipe, is what makes engineering require humans <strong>and</strong> not just<br />

computers 2 . We will try <strong>to</strong> teach you some of this art. For starters, here are<br />

some tips.<br />

Underst<strong>and</strong> the question<br />

It is tempting <strong>to</strong> start writing equations <strong>and</strong> quoting principles when you first<br />

see a problem. However, it is usually worth a few minutes (<strong>and</strong> sometimes<br />

a few hours) <strong>to</strong> try <strong>to</strong> get an intuitive sense of a problem before jumping <strong>to</strong><br />

equations. Before you draw any sketches or write equations, think: does the<br />

problem make sense What information has been given What are you trying<br />

<strong>to</strong> find Is what you are trying <strong>to</strong> find determined by what is given What<br />

physical laws make the problem solvable What extra information do you<br />

think you need What information have you been given that you don’t need<br />

You should first get a general sense of the problem <strong>to</strong> steer you through the<br />

technical details.<br />

Some students find they can read every line of sample problems yet cannot<br />

do test problems, or, later on, cannot do applied design work effectively.<br />

This failing may come from following details without spending time, thinking<br />

<strong>and</strong> gaining an overall sense of the problems.<br />

Think through your solution strategy<br />

For problem solutions you read, like those in this book, someone had <strong>to</strong> think<br />

about the order of work. You also have <strong>to</strong> think about the order of your work.<br />

You will find some tips in the text <strong>and</strong> samples. But it is your job <strong>to</strong> own the<br />

material, <strong>to</strong> learn how <strong>to</strong> think about it your own way, <strong>to</strong> become an expert in<br />

your own style, <strong>and</strong> <strong>to</strong> do the work in the way that makes things most clear<br />

<strong>to</strong> you <strong>and</strong> your readers.<br />

2 Computers can do dynamics. To be<br />

honest, this book presents some methods<br />

which computers can h<strong>and</strong>le. Once<br />

a problem has been reduced <strong>to</strong> a precise<br />

mechanical model a computer code<br />

could take over. Say a finite-element<br />

program or a rigid-body dynamics program.<br />

But you will do better at mechanics,<br />

even with a computers help, if<br />

you can do simple mechanics problems<br />

without a computer.<br />

Analogy with long-division. Since<br />

about 1975 division by a 3 (or more)<br />

digit number is done by calcula<strong>to</strong>rs,<br />

not pencil-<strong>and</strong>-paper long-division. But<br />

competence at division without a calcula<strong>to</strong>r,<br />

at least at division by one digit<br />

numbers, allows one <strong>to</strong> quickly catch<br />

calcula<strong>to</strong>r-entry errors. And knowledge<br />

about division (that, for example, its inverse<br />

multiplication, or that division by<br />

zero is bad) is useful. And such knowledge<br />

comes better by practice with numbers<br />

manipulated in one’s head <strong>and</strong> on<br />

paper than just on a calcula<strong>to</strong>r. Similarly<br />

it is useful <strong>to</strong> know mechanicsproblem<br />

methods well, even if some of<br />

those problems can be solved with by a<br />

computer package.


16 Chapter 0. Preface 0.1. To the student (please read)<br />

3 A tree analogy. Energy gets s<strong>to</strong>red<br />

in the roots of a tree. It gets there from<br />

the trunk. The branches feed the trunk,<br />

the twigs feed the branches, <strong>and</strong> the<br />

leaves feed the twigs with energy from<br />

the sun. But the flow goes the opposite<br />

way, from the leaves on down <strong>to</strong> the<br />

roots. But if you try <strong>to</strong> invent a tree by<br />

starting at the leaves with no knowledge<br />

of the root you could easily get lost <strong>and</strong><br />

connect leaves <strong>to</strong> electric wires or gas<br />

pipes — all nonsense. There’s no point<br />

in connecting the leaves <strong>to</strong> anything until<br />

you have a sense of the whole tree.<br />

The order of calculation is often backwards from the order of<br />

thinking<br />

When working out how <strong>to</strong> solve a problem you often start with general principles,<br />

then look at terms you need <strong>to</strong> know. If these are not given, you think<br />

how <strong>to</strong> figure those from other terms <strong>and</strong> so on. On the other h<strong>and</strong>, when you<br />

go <strong>to</strong> calculate an answer you have <strong>to</strong> start with the information given <strong>and</strong><br />

work your way backwards in<strong>to</strong> the equation which has your answer 3 . To<br />

find the net worth of a corporation you add the value of the various divisions.<br />

To get the value of a division you add up the values of the fac<strong>to</strong>ries. For each<br />

fac<strong>to</strong>ry you add up the value of the pieces of machinery. But <strong>to</strong> get an actual<br />

corporate value you have <strong>to</strong> start by evaluating the pieces of machinery<br />

in each fac<strong>to</strong>ry <strong>and</strong> working back up from the known <strong>to</strong>wards the answer.<br />

Beware that<br />

When you read the minimal write-up of a calculation, especially an<br />

algorithmic recipe or computer program, you often are reading in the<br />

inverse order of the thinking that went in <strong>to</strong> generating the solution.<br />

Of course real problem solving goes both ways. You think about what you<br />

need in order <strong>to</strong> calculate what you want. But you also think about what you<br />

can calculate easily from what is given plainly <strong>to</strong> you. You reach from the<br />

broad <strong>to</strong>wards the details. And you work with known details <strong>to</strong>wards answers<br />

of any kind, wanted or not. And you thus hunt out, building from details <strong>and</strong><br />

simultaneously reaching back from the goal, a route leading all the way from<br />

the details <strong>to</strong> the goal.<br />

Look for equations containing unkowns, not for formulas that<br />

evaluate unknowns<br />

In elementary science <strong>and</strong> math we often learn formulas like<br />

V D LW H; d D 1 2 at 2 ; <strong>and</strong> x D b ¦ p b 2 4ac<br />

2a<br />

<strong>to</strong> find V; d; or x. So it is common wishful thinking for newcomers <strong>to</strong> hope<br />

for a formula that generates the sought unknown in terms of given quantities.<br />

Rather, you should<br />

Find relations that contain variables of interest; don’t worry about<br />

whether they are on the right or left side of an equation. Don’t worry<br />

about whether the variables are alone or isolated.<br />

Most often, you will not know a formula where the thing you want is on the<br />

left <strong>and</strong> everything given is on the right. You will have, say,<br />

V D LW H when you want <strong>to</strong> find W from V; L; <strong>and</strong> H ,


Backspace CE C<br />

Chapter 0. Preface 0.1. To the student (please read) 17<br />

d D 1 2 at 2 when you want <strong>to</strong> find t from a <strong>and</strong> d, <strong>and</strong><br />

ax 2 C bx C c D 0 when you want <strong>to</strong> find x from a; b; <strong>and</strong> c.<br />

Once you have got this far the only problem is math 4 . Here are two tricks<br />

of the mind<br />

1) You know a math <strong>and</strong> computer genius. She is helpful but doesn’t<br />

know any mechanics. Make your first task writing things down so she<br />

could finish up for you. She doesn’t want <strong>to</strong> help Then realize that<br />

finishing up without her is a separate job for you. You will do this later<br />

when you wear your math-genius cap.<br />

2) Be an egotist. Pretend you are omniscient <strong>and</strong> know everything. Then<br />

write down true statements about those things; equations that contain<br />

terms that omniscient-you already know: “If I knew x; y <strong>and</strong> z the<br />

following equation would be true.” Then relax your ego a bit. Count<br />

equations <strong>and</strong> unknowns <strong>to</strong> see if you, or at least your math genius<br />

friend, could solve for the things you previously pretended <strong>to</strong> know.<br />

4 For this <strong>and</strong> other courses, you<br />

should be good at solving math problems<br />

with your pencil <strong>and</strong> with a computer.<br />

But you should distinguish between<br />

the task of setting up a math problem<br />

<strong>and</strong> the solving of the problem.<br />

The solving often takes the bulk of the<br />

time <strong>and</strong> paper, but it’s not where your<br />

thoughts should start. The material that<br />

is new for you in this book is largely<br />

about setting up, rather than solving, the<br />

math problems that arrise in mechanics.<br />

Vec<strong>to</strong>rs <strong>and</strong> free-body diagrams<br />

In the <strong>to</strong>olbox of someone who can solve lots of mechanics problems are two<br />

well-worn <strong>to</strong>ols:<br />

A vec<strong>to</strong>r calcula<strong>to</strong>r that always keeps vec<strong>to</strong>rs <strong>and</strong> scalars distinct, <strong>and</strong><br />

A reliable <strong>and</strong> clear free-body diagram drawing <strong>to</strong>ol.<br />

Because many of the terms in mechanics equations are vec<strong>to</strong>rs, the ability <strong>to</strong><br />

do vec<strong>to</strong>r calculations is essential. Because the concept of an isolated system<br />

is at the core of mechanics, every mechanics practitioner needs the ability <strong>to</strong><br />

draw a good free-body diagram. The second <strong>and</strong> third chapters will help you<br />

build your own set of these two most-important <strong>to</strong>ols.<br />

Outside the books<br />

Guarantee: If you learn <strong>to</strong> do clear correct vec<strong>to</strong>r algebra <strong>and</strong> <strong>to</strong> draw<br />

good free-body diagrams you will do well at mechanics. (Assuming, of<br />

course, that you don’t <strong>to</strong>tally s<strong>to</strong>p studying then <strong>and</strong> there.)<br />

Statics<br />

Engineering<br />

254<br />

Math<br />

The books<br />

Thinking outside the books<br />

We do mechanics because we like mechanics. We hope you will <strong>to</strong>o. It’s fun<br />

<strong>to</strong> puzzle out how things work. Its satisfying <strong>to</strong> do calculations that make<br />

realistic predictions. Mechanics is interesting in its own right <strong>and</strong> it feels<br />

good <strong>to</strong> take pride in new skills. We wrote this book because we want <strong>to</strong> help<br />

you learn the subject if you are interested, <strong>and</strong> get through it if you must.<br />

But we don’t know a straightforward path through your resources (say a path<br />

with 4 straight segments) that really gets you <strong>to</strong> deeper underst<strong>and</strong>ing.<br />

Filename:tfigure-outsidethebooks<br />

Dynamics<br />

Figure 0.1: Thinking outside of the<br />

books. A famous puzzle asks: using<br />

4 contiguous straightline segments connect<br />

all 9 dots that are in a square 3 ¢ 3<br />

array. The only solution has segments<br />

extending outside the “box” of 9 points.<br />

Hence the expression “thinking outside<br />

of the box”.


18 Chapter 0. Preface 0.2. A note on computation<br />

We do know that you need <strong>to</strong> think outside of the confines of your usual<br />

study resources. Like when you are relaxed, away from the pressures of<br />

books, notes, pencils or paper, say when you are walking, showering or lying<br />

down. These are the places where you naturally work out life problems, but<br />

they are good places <strong>to</strong> work out mechanics problems <strong>to</strong>o.<br />

Having an animated mechanics discussion with friends is also good. You<br />

should enjoy your inner nerd socially. Are your friends turned off by techtalk<br />

There are billions of people out there, you should be able <strong>to</strong> find one or<br />

two that like <strong>to</strong> talk shop.<br />

0.2 A note on computation<br />

Mechanics is a physical subject. The concepts in mechanics do not depend<br />

on computers. But mechanics is also a quantitative subject; relevant amounts<br />

(of length, mass, force, moment, time, etc) are described with numbers, <strong>and</strong><br />

relations are described using equations <strong>and</strong> formulas. Computers are very<br />

good with numbers <strong>and</strong> formulas. Thus the modern practice of engineering<br />

mechanics uses computers. The most-needed computer skills for mechanics<br />

are:<br />

solution of simultaneous linear algebraic equations,<br />

plotting, <strong>and</strong><br />

numerical solution of ODEs (Ordinary Differential Equations).<br />

More basically, an engineer also needs the ability <strong>to</strong> routinely evaluate st<strong>and</strong>ard<br />

functions (x 3 , cos 1 , etc.), <strong>to</strong> enter <strong>and</strong> manipulate lists <strong>and</strong> arrays of<br />

numbers, <strong>and</strong> <strong>to</strong> write short programs.<br />

Classical languages, applied packages, <strong>and</strong> simula<strong>to</strong>rs<br />

Programming in st<strong>and</strong>ard languages such as Fortran, Basic, Pascal, C++, or<br />

Java probably take <strong>to</strong>o much time <strong>to</strong> use in solving simple mechanics problems.<br />

Thus an engineer needs <strong>to</strong> learn <strong>to</strong> use one or another widely available<br />

computational package (e.g., MATLAB, O-MATRIX, SCI-LAB, OC-<br />

TAVE, MAPLE, MATHEMATICA, MATHCAD, TKSOLVER, LABVIEW,<br />

etc). We assume that students have learned, or are learning such a package.<br />

Although none of the homework here depends on such, we also encourage<br />

you <strong>to</strong> play with packaged mechanics simula<strong>to</strong>rs (e.g., INVENTOR,<br />

WORKING MODEL, ADAMS, DADS, ODE, etc) for testing <strong>and</strong> building<br />

your intuition.<br />

How we explain computation in this book.<br />

Solving a mechanics problem involves<br />

1. Reducing a physical problem <strong>to</strong> a well posed mathematical problem;<br />

2. Solving the math problem using some combination of pencil <strong>and</strong> paper<br />

<strong>and</strong> numerical computation; <strong>and</strong>


Chapter 0. Preface 0.2. A note on computation 19<br />

3. Giving physical interpretation of the mathematical solution.<br />

This book is primarily about setup (a) <strong>and</strong> interpretation (c), which are rather<br />

the same, no matter what method is used <strong>to</strong> solve the equations. If a problem<br />

requires computation, the exact computer comm<strong>and</strong>s vary from package <strong>to</strong><br />

package. And we don’t know which one you are using. So in this book<br />

we express our computer calculations using an informal pseudo computer<br />

language. For reference, typical comm<strong>and</strong>s are summarized on page 21.<br />

Required computer skills<br />

Here, in a little more detail, are the primary computer skills you need.<br />

Linear algebraic equations. Many mechanics problems are statics or<br />

‘instantaneous mechanics’ problems. These problems involve trying<br />

<strong>to</strong> find some forces or accelerations at a given configuration of a system.<br />

These problems can generally be reduced <strong>to</strong> the solution of linear<br />

algebraic equations of this general type: solve<br />

3 x C 4 y D 8<br />

7 x C p 2 y D 3:5<br />

for x <strong>and</strong> y. In practice the number of variables <strong>and</strong> equations can<br />

be quite large. Some computer packages will let you enter equations<br />

almost as written above. In our pseudo language we would write:<br />

set = { 3*x + 4*y = 8<br />

-7*x + sqrt(2)*y = 3.5 }<br />

solve set for x <strong>and</strong> y<br />

Other packages may require you <strong>to</strong> set up your equations in matrix form<br />

<br />

3 p 4 x 8<br />

D or Az D b<br />

7 2 y 3:5<br />

„ ƒ‚ …<br />

A<br />

„ƒ‚…<br />

z<br />

„ ƒ‚ …<br />

b<br />

which in computer-speak might look something like this:<br />

A = [ 3 4<br />

-7 sqrt(2) ]<br />

b = [ 8 3.5 ]’<br />

solve A*z=b for z<br />

where A is a 2 ¢ 2 matrix, b is a column of 2 numbers (the ’ indicates<br />

that the row of numbers b should be transposed in<strong>to</strong> a column), <strong>and</strong><br />

the two elements of z are x <strong>and</strong> y. For systems of two equations, like<br />

above, a computer is hardly needed. But for systems of three equations<br />

pencil <strong>and</strong> paper work is sometimes error prone. Given the tedium,<br />

the propensity for error, <strong>and</strong> the availability of electronic alternatives,<br />

pencil <strong>and</strong> paper solution of four or more equations is an anachronism.<br />

Plotting. In order <strong>to</strong> see how a result depends on a parameter, or <strong>to</strong> see<br />

how a quantity varies with position or time, it is useful <strong>to</strong> see a plot.<br />

Any plot based on more than a few data points or a complex formula is


20 Chapter 0. Preface 0.2. A note on computation<br />

far more easily drawn using a computer than by h<strong>and</strong>. Most often you<br />

can organize your data in<strong>to</strong> a set of .x; y/ pairs s<strong>to</strong>red in an x list <strong>and</strong> a<br />

corresponding y list. A simple computer comm<strong>and</strong> will then plot x vs<br />

y. The pseudo-code below, for example, plots a circle using 100 points<br />

npoints = [0 1 2 3 ... 100]<br />

theta = npoints * 2 * pi / 100<br />

x = cos(theta)<br />

y = sin(theta)<br />

plot y vs x<br />

where npoints is the list of numbers from 1 <strong>to</strong> 100, theta is a list<br />

of 100 numbers evenly spaced between 0 <strong>and</strong> 2 <strong>and</strong> x <strong>and</strong> y are lists<br />

of 100 corresponding x; y coordinate points on a circle.<br />

ODEs The result of using the laws of dynamics is often a set of differential<br />

equations which need <strong>to</strong> be solved. A simple example would be:<br />

Find x at t D 5 given that dx<br />

dt<br />

D x <strong>and</strong> that at t D 0, x D 1.<br />

The solution <strong>to</strong> this problem can be found easily enough by h<strong>and</strong> <strong>to</strong><br />

be x.5/ D e 5 . But often the differential equations are just <strong>to</strong>o hard for<br />

pencil <strong>and</strong> paper solution. Fortunately the numerical solution of ordinary<br />

differential equations (ODEs) is already programmed in<strong>to</strong> scientific<br />

<strong>and</strong> engineering computer packages. The simple problem above<br />

is solved with computer code equivalent <strong>to</strong> these informal comm<strong>and</strong>s:<br />

ODES = { xdot = x }<br />

ICS = { xzero = 1 }<br />

solve ODES with ICS until t=5<br />

which will yield a list of values for paired values for t <strong>and</strong> x the last of<br />

which will be t D 5 <strong>and</strong> x close <strong>to</strong> e 5 148:4.


Chapter 0. Preface 0.2. A note on computation 21<br />

Examples of informal computer comm<strong>and</strong>s<br />

In this book computer comm<strong>and</strong>s are given informally using comm<strong>and</strong>s<br />

that are not as strict as any real computer package. You will<br />

need <strong>to</strong> translate the informal comm<strong>and</strong>s below in<strong>to</strong> comm<strong>and</strong>s your<br />

package underst<strong>and</strong>s. This reference table uses mathematical ideas<br />

which you may or may not know before you read this book, but these<br />

are introduced in the text when needed.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

x=7 Set the variable x <strong>to</strong> 7.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

omega=13 Set ! <strong>to</strong> 13.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

u=[1 0 -1 0]<br />

Define u <strong>and</strong> v <strong>to</strong> be the lists<br />

v=[2 3 4 pi]<br />

shown.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

t= [.1 .2 .3 ... 5] Set t <strong>to</strong> the list of 50 numbers<br />

implied by the expression.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

y=v(3)<br />

sets y <strong>to</strong> the third value of v (in<br />

this case 4).<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

A=[1 2 3 6.9<br />

Set A <strong>to</strong> the array shown.<br />

5 0 1 12 ]<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

z= A(2,3) Set z <strong>to</strong> the element of A in the<br />

second row <strong>and</strong> third column.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

w=[3<br />

Define w <strong>to</strong> be a column vec<strong>to</strong>r.<br />

4<br />

2<br />

5]<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

w = [3 4 2 5]’<br />

Same as above. ’ means<br />

transpose.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

u+v<br />

Vec<strong>to</strong>r addition. In this case the<br />

result is Œ3 3 3 .<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

u*v<br />

Element by element<br />

multiplication, in this case<br />

Œ2 0 4 0 .<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

sum(w)<br />

Add the elements of w, in this<br />

case 14.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

cos(w)<br />

Make a new list, each element of<br />

which is the cosine of the<br />

corresponding element of Œw .<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

mag(u)<br />

The square root of the sum of the<br />

squares of the elements in Œu , in<br />

this case 1.41421...<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

u dot v<br />

The vec<strong>to</strong>r dot product of<br />

component lists Œu <strong>and</strong> Œv , (we<br />

could also write sum(A*B).<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

C cross D<br />

The vec<strong>to</strong>r cross product of C<br />

*<br />

<strong>and</strong> D, * assuming the three<br />

element component lists for ŒC<br />

<strong>and</strong> ŒD have been defined.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

A matmult w<br />

Use the rules of matrix<br />

multiplication <strong>to</strong> multiply ŒA<br />

<strong>and</strong> Œw .<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

eqset = f3x + 2y = 6 Define ‘eqset’ <strong>to</strong> st<strong>and</strong> for the set<br />

6x + 7y = 8g of 2 equations in braces.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

solve eqset<br />

Solve the equations in ‘eqset’ for<br />

for x <strong>and</strong> y x <strong>and</strong> y.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

solve Ax=b for x Solve the matrix equation<br />

ŒA Œx D Œb for the list of<br />

numbers x. This assumes A <strong>and</strong><br />

b have already been defined.<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

for i = 1 <strong>to</strong> N<br />

Execute the comm<strong>and</strong>s ‘such <strong>and</strong><br />

such <strong>and</strong> such such’ N times, the first time with<br />

end<br />

i D 1, the second with i D 2, etc<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

plot y vs x<br />

Assuming x <strong>and</strong> y are two lists<br />

of numbers of the same length,<br />

plot the y values vs the x values.<br />

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solve ODEs<br />

Assuming a set of ODEs <strong>and</strong> ICs<br />

with ICs<br />

until t=5<br />

have been defined, use numerical<br />

integration <strong>to</strong> solve them <strong>and</strong><br />

evaluate the result at t D 5.<br />

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With an informality consistent with what is written above, other<br />

comm<strong>and</strong>s are introduced as needed.

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