12. DYNAMIC ANALYSIS. Force Equilibrium is Fundamental in the Dynamic Analysis of Structures 12.1 INTRODUCTION

Size: px
Start display at page:

Download "12. DYNAMIC ANALYSIS. Force Equilibrium is Fundamental in the Dynamic Analysis of Structures 12.1 INTRODUCTION"

Transcription

1 12. DYNAMIC ANALYSIS Force Equilibrium is Fundmentl in the Dynmic Anlysis of Structures 12.1 INTRODUCTION { XE "Newton's Second Lw" }All rel physicl structures behve dynmiclly when subjected to lods or displcements. The dditionl inerti forces, from Newton s second lw, re equl to the mss times the ccelertion. If the lods or displcements re pplied very slowly, the inerti forces cn be neglected nd sttic lod nlysis cn be justified. Hence, dynmic nlysis is simple extension of sttic nlysis. In ddition, ll rel structures potentilly hve n infinite number of displcements. Therefore, the most criticl phse of structurl nlysis is to crete computer model with finite number of mssless members nd finite number of node (joint) displcements tht will simulte the behvior of the rel structure. The mss of structurl system, which cn be ccurtely estimted, is lumped t the nodes. Also, for liner elstic structures, the stiffness properties of the members cn be pproximted with high degree of confidence with the id of experimentl dt. However, the dynmic loding, energy dissiption properties nd boundry (foundtion) conditions for mny structures re difficult to estimte. This is lwys true for the cses of seismic input or wind lods. To reduce the errors tht my be cused by the pproximtions summrized in the previous prgrph, it is necessry to conduct mny different dynmic nlyses using different computer models, loding nd boundry conditions. It is

2 12-2 STATIC AND DYNAMIC ANALYSIS not unrelistic to conduct 20 or more computer runs to design new structure or to investigte retrofit options for n existing structure. Becuse of the lrge number of computer runs required for typicl dynmic nlysis, it is very importnt tht ccurte nd numericlly efficient methods be used within computer progrms. Some of those methods hve been developed by the uthor nd re reltively new. Therefore, one of the purposes of this book is to summrize those numericl lgorithms, their dvntges nd limittions DYNAMIC EQUILIBRIUM The force equilibrium of multi-degree-of-freedom lumped mss system s function of time cn be expressed by the following reltionship: F (t) I + F(t) + F(t) = F(t) (12.1) D in which the force vectors t time t re: S F (t) I is vector of inerti forces cting on the node msses F (t) D is vector of viscous dmping, or energy dissiption, forces F (t) S is vector of internl forces crried by the structure F (t) is vector of externlly pplied lods Eqution (12.1) is bsed on physicl lws nd is vlid for both liner nd nonliner systems if equilibrium is formulted with respect to the deformed geometry of the structure. For mny structurl systems, the pproximtion of liner structurl behvior is mde to convert the physicl equilibrium sttement, Eqution (12.1), to the following set of second-order, liner, differentil equtions: M u& (t) + Cu& (t) + Ku(t) = F(t) (12.2) in which M is the mss mtrix (lumped or consistent), C is viscous dmping mtrix (which is normlly selected to pproximte energy dissiption in the rel

3 FUNDAMENTALS OF DYNAMIC ANALYSIS 12-3 structure) nd K is the sttic stiffness mtrix for the system of structurl elements. The time-dependent vectors u (t), u& (t) nd u&(t) & re the bsolute node displcements, velocities nd ccelertions, respectively. Mny books on structurl dynmics present severl different methods of pplied mthemtics to obtin the exct solution of Eqution (12.2). Within the pst severl yers, however, with the generl vilbility of inexpensive, high-speed personl computers (see Appendix H), the exct solution of Eqution (12.2) cn be obtined without the use of complex mthemticl techniques. Therefore, the modern structurl engineer who hs physicl understnding of dynmic equilibrium nd energy dissiption cn perform dynmic nlysis of complex structurl systems. A strong engineering mthemticl bckground is desirble; however, in my opinion, it is no longer mndtory. { XE "Erthquke Loding" }For seismic loding, the externl loding F (t) is equl to zero. The bsic seismic motions re the three components of free-field ground displcements u(t) ig tht re known t some point below the foundtion level of the structure. Therefore, we cn write Eqution (12.2) in terms of the displcements u (t), velocities u& (t) nd ccelertions u& & (t) tht re reltive to the three components of free-field ground displcements. Therefore, the bsolute displcements, velocities nd ccelertions cn be eliminted from Eqution (12.2) by writing the following simple equtions: u (t) = u(t) + I x u(t) xg + Iyu(t) yg + I z u(t) zg u & (t) = u& (t) + Ix u(t) & + Iyu(t) & + I u& (t) (12.3) xg yg z zg u & (t) = u&& (t) + I x u(t) && xg + Iyu(t) && yg + I z u& (t) zg where Ii is vector with ones in the i directionl degrees-of-freedom nd zero in ll other positions. The substitution of Eqution (12.3) into Eqution (12.2) llows the node point equilibrium equtions to be rewritten s: M u& (t) + Cu& (t) + Ku(t) = -Mx u(t) && - Myu(t) && - Mzu& (t) (12.4) where M = MI. i i xg yg zg

4 12-4 STATIC AND DYNAMIC ANALYSIS The simplified form of Eqution (12.4) is possible since the rigid body velocities nd displcements ssocited with the bse motions cuse no dditionl dmping or structurl forces to be developed. It is importnt for engineers to relize tht the displcements, which re normlly printed by computer progrm, re reltive displcements nd tht the fundmentl loding on the structure is foundtion displcements nd not externlly pplied lods t the joints of the structure. For exmple, the sttic pushover nlysis of structure is poor pproximtion of the dynmic behvior of three-dimensionl structure subjected to complex time-dependent bse motions. Also, one must clculte bsolute displcements to properly evlute bse isoltion systems. There re severl different clssicl methods tht cn be used for the solution of Eqution (12.4). Ech method hs dvntges nd disdvntges tht depend on the type of structure nd loding. To provide generl bckground for the vrious topics presented in this book, the different numericl solution methods re summrized below STEP-BY-STEP SOLUTION METHOD { XE "Dynmic Anlysis by:direct Integrtion" }The most generl solution method for dynmic nlysis is n incrementl method in which the equilibrium equtions re solved t times t, 2 t, 3 t, etc. There re lrge number of different incrementl solution methods. In generl, they involve solution of the complete set of equilibrium equtions t ech time increment. In the cse of nonliner nlysis, it my be necessry to reform the stiffness mtrix for the complete structurl system for ech time step. Also, itertion my be required within ech time increment to stisfy equilibrium. As result of the lrge computtionl requirements, it cn tke significnt mount of time to solve structurl systems with just few hundred degrees-of-freedom. In ddition, rtificil or numericl dmping must be dded to most incrementl solution methods to obtin stble solutions. For this reson, engineers must be very creful in the interprettion of the results. For some nonliner structures subjected to seismic motions, incrementl solution methods re necessry.

5 FUNDAMENTALS OF DYNAMIC ANALYSIS 12-5 For very lrge structurl systems, combintion of mode superposition nd incrementl methods hs been found to be efficient for systems with smll number of nonliner members. This method hs been incorported into the new versions of SAP nd ETABS nd will be presented in detil lter in this book MODE SUPERPOSITION METHOD { XE "Dynmic Anlysis by:mode Superposition" }The most common nd effective pproch for seismic nlysis of liner structurl systems is the mode superposition method. After set of orthogonl vectors hve been evluted, this method reduces the lrge set of globl equilibrium equtions to reltively smll number of uncoupled second order differentil equtions. The numericl solution of those equtions involves gretly reduced computtionl time. It hs been shown tht seismic motions excite only the lower frequencies of the structure. Typiclly, erthquke ground ccelertions re recorded t increments of 200 points per second. Therefore, the bsic loding dt does not contin informtion over 50 cycles per second. Hence, neglecting the higher frequencies nd mode shpes of the system normlly does not introduce errors RESPONSE SPECTRA ANALYSIS { XE "Dynmic Anlysis by:response Spectrum" }The bsic mode superposition method, which is restricted to linerly elstic nlysis, produces the complete time history response of joint displcements nd member forces becuse of specific ground motion loding [1, 2]. There re two mjor disdvntges of using this pproch. First, the method produces lrge mount of output informtion tht cn require n enormous mount of computtionl effort to conduct ll possible design checks s function of time. Second, the nlysis must be repeted for severl different erthquke motions to ensure tht ll the significnt modes re excited, becuse response spectrum for one erthquke, in specified direction, is not smooth function. There re significnt computtionl dvntges in using the response spectr method of seismic nlysis for prediction of displcements nd member forces in

6 12-6 STATIC AND DYNAMIC ANALYSIS structurl systems. The method involves the clcultion of only the mximum vlues of the displcements nd member forces in ech mode using smooth design spectr tht re the verge of severl erthquke motions. In this book, we will recommend the CQC method to combine these mximum modl response vlues to obtin the most probble pek vlue of displcement or force. In ddition, it will be shown tht the SRSS nd CQC3 methods of combining results from orthogonl erthquke motions will llow one dynmic nlysis to produce design forces for ll members in the structure SOLUTION IN THE FREQUENCY DOMAIN { XE "Dynmic Anlysis by:frequency Domin" }The bsic pproch used to solve the dynmic equilibrium equtions in the frequency domin is to expnd the externl lods F (t) in terms of Fourier series or Fourier integrls. The solution is in terms of complex numbers tht cover the time spn from - to. Therefore, it is very effective for periodic types of lods such s mechnicl vibrtions, coustics, se-wves nd wind [1]. However, the use of the frequency domin solution method for solving structures subjected to erthquke motions hs the following disdvntges: 1. The mthemtics for most structurl engineers, including myself, is difficult to understnd. Also, the solutions re difficult to verify. 2. Erthquke loding is not periodic; therefore, it is necessry to select long time period so tht the solution from finite length erthquke is completely dmped out before ppliction of the sme erthquke t the strt of the next period of loding. 3. For seismic type loding, the method is not numericlly efficient. The trnsformtion of the result from the frequency domin to the time domin, even with the use of Fst Fourier Trnsformtion methods, requires significnt mount of computtionl effort. 4. The method is restricted to the solution of liner structurl systems. 5. The method hs been used, without sufficient theoreticl justifiction, for the pproximte nonliner solution of site response problems nd soil/structure

7 FUNDAMENTALS OF DYNAMIC ANALYSIS 12-7 interction problems. Typiclly, it is used in n itertive mnner to crete liner equtions. The liner dmping terms re chnged fter ech itertion to pproximte the energy dissiption in the soil. Hence, dynmic equilibrium within the soil is not stisfied SOLUTION OF LINEAR EQUATIONS { XE "Solution of Equtions" }The step-by-step solution of the dynmic equilibrium equtions, the solution in the frequency domin, nd the evlution of eigenvectors nd Ritz vectors ll require the solution of liner equtions of the following form: AX = B (12.5) Where A is n 'N by N' symmetric mtrix tht contins lrge number of zero terms. The 'N by M' X displcement nd B lod mtrices indicte tht more thn one lod condition cn be solved t the sme time. The method used in mny computer progrms, including SAP2000 [5] nd ETABS [6], is bsed on the profile or ctive column method of compct storge. Becuse the mtrix is symmetric, it is only necessry to form nd store the first non-zero term in ech column down to the digonl term in tht column. Therefore, the sprse squre mtrix cn be stored s one-dimensionl rry long with N by 1 integer rry tht indictes the loction of ech digonl term. If the stiffness mtrix exceeds the high-speed memory cpcity of the computer, block storge form of the lgorithm exists. Therefore, the cpcity of the solution method is governed by the low speed disk cpcity of the computer. This solution method is presented in detil in Appendix C of this book UNDAMPED HARMONIC RESPONSE { XE "Hrmonic Loding" }The most common nd very simple type of dynmic loding is the ppliction of stedy-stte hrmonic lods of the following form: F (t) = f sin ( ωt) (12.6)

8 12-8 STATIC AND DYNAMIC ANALYSIS The node point distribution of ll sttic lod ptterns, f, which re not function of time, nd the frequency of the pplied loding, ω, re user specified. Therefore, for the cse of zero dmping, the exct node point equilibrium equtions for the structurl system re: M u& (t) + Ku(t) = f sin ( ω t) (12.7) The exct stedy-stte solution of this eqution requires tht the node point displcements nd ccelertions re given by: 2 u(t) = v sin( ω t), u& (t) = - v ω sin( ω t) (12.8) Therefore, the hrmonic node point response mplitude is given by the solution of the following set of liner equtions: [ K -ω 2 M] v = f or Kv = f (12.9) It is of interest to note tht the norml solution for sttic lods is nothing more thn solution of this eqution for zero frequency for ll lods. It is pprent tht the computtionl effort required for the clcultion of undmped stedy-stte response is lmost identicl to tht required by sttic lod nlysis. Note tht it is not necessry to evlute mode shpes or frequencies to solve for this very common type of loding. The resulting node point displcements nd member forces vry s sin (ω t). However, other types of lods tht do not vry with time, such s ded lods, must be evluted in seprte computer run UNDAMPED FREE VIBRATIONS { XE "Undmped Free Vibrtion" }Most structures re in continuous stte of dynmic motion becuse of rndom loding such s wind, vibrting equipment, or humn lods. These smll mbient vibrtions re normlly ner the nturl frequencies of the structure nd re terminted by energy dissiption in the rel structure. However, specil instruments ttched to the structure cn esily mesure the motion. Ambient vibrtion field tests re often used to clibrte computer models of structures nd their foundtions.

9 FUNDAMENTALS OF DYNAMIC ANALYSIS 12-9 After ll externl lods hve been removed from the structure, the equilibrium eqution, which governs the undmped free vibrtion of typicl displced shpe v, is: M v& + Kv = 0 (12.10) { XE "Energy:Mechnicl Energy" }{ XE "Mechnicl Energy" }At ny time, the displced shpe v my be nturl mode shpe of the system, or ny combintion of the nturl mode shpes. However, it is pprent the totl energy within n undmped free vibrting system is constnt with respect to time. The sum of the kinetic energy nd strin energy t ll points in time is constnt tht is defined s the mechnicl energy of the dynmic system nd clculted from: E M 1 T 1 T = v& Mv& + v Kv (12.11) SUMMARY Dynmic nlysis of three-dimensionl structurl systems is direct extension of sttic nlysis. The elstic stiffness mtrices re the sme for both dynmic nd sttic nlysis. It is only necessry to lump the mss of the structure t the joints. The ddition of inerti forces nd energy dissiption forces will stisfy dynmic equilibrium. The dynmic solution for stedy stte hrmonic loding, without dmping, involves the sme numericl effort s sttic solution. Clssiclly, there re mny different mthemticl methods to solve the dynmic equilibrium equtions. However, it will lter be shown in this book tht the mjority of both liner nd nonliner systems cn be solved with one numericl method. Energy is fundmentl in dynmic nlysis. At ny point in time, the externl work supplied to the system must be equl to the sum of the kinetic nd strin energy plus the energy dissipted in the system. { XE "Energy:Zero Strin Energy" }It is my opinion, with respect to erthquke resistnt design, tht we should try to minimize the mechnicl energy in the structure. It is pprent tht rigid structure will hve only kinetic energy nd zero strin energy. On the other hnd, completely bse isolted structure will

10 12-10 STATIC AND DYNAMIC ANALYSIS hve zero kinetic energy nd zero strin energy. A structure cnnot fil if it hs zero strin energy REFERENCES 1. Clough, R., nd J. Penzien Dynmics of Structures, Second Edition. McGrw-Hill, Inc. ISBN { XE "Chopr, A." }Chopr, A Dynmics of Structures. Prentice-Hll, Inc. Englewood Cliffs, New Jersey, ISBN { XE "Bthe, K. J." }Bthe, K Finite Element Procedures in Engineering Anlysis. Prentice-Hll, Inc. Englewood Cliffs, New Jersey ISBN Wilson, E. L., nd K. Bthe "Stbility nd Accurcy Anlysis of Direct Integrtion Methods," Erthquke Engineering nd Structurl Dynmics. Vol. 1. pp Computers nd Structures, Inc SAP Integrted Structurl Anlysis & Design Softwre. Berkeley, Cliforni. 6. Hbibullh, A ETABS - Three Dimensionl Anlysis of Building Systems, User's Mnul. Computers nd Structures Inc. Berkeley, Cliforni.

Review of Calculus, cont d

Review of Calculus, cont d Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some

More information

INTRODUCTION. The three general approaches to the solution of kinetics problems are:

INTRODUCTION. The three general approaches to the solution of kinetics problems are: INTRODUCTION According to Newton s lw, prticle will ccelerte when it is subjected to unblnced forces. Kinetics is the study of the reltions between unblnced forces nd the resulting chnges in motion. The

More information

Improper Integrals, and Differential Equations

Improper Integrals, and Differential Equations Improper Integrls, nd Differentil Equtions October 22, 204 5.3 Improper Integrls Previously, we discussed how integrls correspond to res. More specificlly, we sid tht for function f(x), the region creted

More information

Probabilistic Investigation of Sensitivities of Advanced Test- Analysis Model Correlation Methods

Probabilistic Investigation of Sensitivities of Advanced Test- Analysis Model Correlation Methods Probbilistic Investigtion of Sensitivities of Advnced Test- Anlysis Model Correltion Methods Liz Bergmn, Mtthew S. Allen, nd Dniel C. Kmmer Dept. of Engineering Physics University of Wisconsin-Mdison Rndll

More information

Math& 152 Section Integration by Parts

Math& 152 Section Integration by Parts Mth& 5 Section 7. - Integrtion by Prts Integrtion by prts is rule tht trnsforms the integrl of the product of two functions into other (idelly simpler) integrls. Recll from Clculus I tht given two differentible

More information

Classical Mechanics. From Molecular to Con/nuum Physics I WS 11/12 Emiliano Ippoli/ October, 2011

Classical Mechanics. From Molecular to Con/nuum Physics I WS 11/12 Emiliano Ippoli/ October, 2011 Clssicl Mechnics From Moleculr to Con/nuum Physics I WS 11/12 Emilino Ippoli/ October, 2011 Wednesdy, October 12, 2011 Review Mthemtics... Physics Bsic thermodynmics Temperture, idel gs, kinetic gs theory,

More information

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by. NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with

More information

The Algebra (al-jabr) of Matrices

The Algebra (al-jabr) of Matrices Section : Mtri lgebr nd Clculus Wshkewicz College of Engineering he lgebr (l-jbr) of Mtrices lgebr s brnch of mthemtics is much broder thn elementry lgebr ll of us studied in our high school dys. In sense

More information

Ordinary differential equations

Ordinary differential equations Ordinry differentil equtions Introduction to Synthetic Biology E Nvrro A Montgud P Fernndez de Cordob JF Urchueguí Overview Introduction-Modelling Bsic concepts to understnd n ODE. Description nd properties

More information

When a force f(t) is applied to a mass in a system, we recall that Newton s law says that. f(t) = ma = m d dt v,

When a force f(t) is applied to a mass in a system, we recall that Newton s law says that. f(t) = ma = m d dt v, Impulse Functions In mny ppliction problems, n externl force f(t) is pplied over very short period of time. For exmple, if mss in spring nd dshpot system is struck by hmmer, the ppliction of the force

More information

The Wave Equation I. MA 436 Kurt Bryan

The Wave Equation I. MA 436 Kurt Bryan 1 Introduction The Wve Eqution I MA 436 Kurt Bryn Consider string stretching long the x xis, of indeterminte (or even infinite!) length. We wnt to derive n eqution which models the motion of the string

More information

MAC-solutions of the nonexistent solutions of mathematical physics

MAC-solutions of the nonexistent solutions of mathematical physics Proceedings of the 4th WSEAS Interntionl Conference on Finite Differences - Finite Elements - Finite Volumes - Boundry Elements MAC-solutions of the nonexistent solutions of mthemticl physics IGO NEYGEBAUE

More information

221A Lecture Notes WKB Method

221A Lecture Notes WKB Method A Lecture Notes WKB Method Hmilton Jcobi Eqution We strt from the Schrödinger eqution for single prticle in potentil i h t ψ x, t = [ ] h m + V x ψ x, t. We cn rewrite this eqution by using ψ x, t = e

More information

The Predom module. Predom calculates and plots isothermal 1-, 2- and 3-metal predominance area diagrams. Predom accesses only compound databases.

The Predom module. Predom calculates and plots isothermal 1-, 2- and 3-metal predominance area diagrams. Predom accesses only compound databases. Section 1 Section 2 The module clcultes nd plots isotherml 1-, 2- nd 3-metl predominnce re digrms. ccesses only compound dtbses. Tble of Contents Tble of Contents Opening the module Section 3 Stoichiometric

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

Fourier Series and Their Applications

Fourier Series and Their Applications Fourier Series nd Their Applictions Rui iu My, 006 Abstrct Fourier series re of gret importnce in both theoreticl nd pplied mthemtics. For orthonorml fmilies of complex vlued functions {φ n}, Fourier Series

More information

221B Lecture Notes WKB Method

221B Lecture Notes WKB Method Clssicl Limit B Lecture Notes WKB Method Hmilton Jcobi Eqution We strt from the Schrödinger eqution for single prticle in potentil i h t ψ x, t = [ ] h m + V x ψ x, t. We cn rewrite this eqution by using

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018 Physics 201 Lb 3: Mesurement of Erth s locl grvittionl field I Dt Acquisition nd Preliminry Anlysis Dr. Timothy C. Blck Summer I, 2018 Theoreticl Discussion Grvity is one of the four known fundmentl forces.

More information

Lecture 20: Numerical Integration III

Lecture 20: Numerical Integration III cs4: introduction to numericl nlysis /8/0 Lecture 0: Numericl Integrtion III Instructor: Professor Amos Ron Scribes: Mrk Cowlishw, Yunpeng Li, Nthnel Fillmore For the lst few lectures we hve discussed

More information

IDENTIFICATION AND MODIFICATION OF FRAME STRUCTURE

IDENTIFICATION AND MODIFICATION OF FRAME STRUCTURE The 14 th World Conference on Erthque Engineering IDENTIFICATION AND MODIFICATION OF FRAME STRUCTURE P. Roso 1 1 Ass. Professor, Center of Mechnics nd Structurl Dynmics, Vienn University of Technology,

More information

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature CMDA 4604: Intermedite Topics in Mthemticl Modeling Lecture 19: Interpoltion nd Qudrture In this lecture we mke brief diversion into the res of interpoltion nd qudrture. Given function f C[, b], we sy

More information

Math 124A October 04, 2011

Math 124A October 04, 2011 Mth 4A October 04, 0 Viktor Grigoryn 4 Vibrtions nd het flow In this lecture we will derive the wve nd het equtions from physicl principles. These re second order constnt coefficient liner PEs, which model

More information

Design Data 1M. Highway Live Loads on Concrete Pipe

Design Data 1M. Highway Live Loads on Concrete Pipe Design Dt 1M Highwy Live Lods on Concrete Pipe Foreword Thick, high-strength pvements designed for hevy truck trffic substntilly reduce the pressure trnsmitted through wheel to the subgrde nd consequently,

More information

13: Diffusion in 2 Energy Groups

13: Diffusion in 2 Energy Groups 3: Diffusion in Energy Groups B. Rouben McMster University Course EP 4D3/6D3 Nucler Rector Anlysis (Rector Physics) 5 Sept.-Dec. 5 September Contents We study the diffusion eqution in two energy groups

More information

Fig. 1. Open-Loop and Closed-Loop Systems with Plant Variations

Fig. 1. Open-Loop and Closed-Loop Systems with Plant Variations ME 3600 Control ystems Chrcteristics of Open-Loop nd Closed-Loop ystems Importnt Control ystem Chrcteristics o ensitivity of system response to prmetric vritions cn be reduced o rnsient nd stedy-stte responses

More information

Applied Partial Differential Equations with Fourier Series and Boundary Value Problems 5th Edition Richard Haberman

Applied Partial Differential Equations with Fourier Series and Boundary Value Problems 5th Edition Richard Haberman Applied Prtil Differentil Equtions with Fourier Series nd Boundry Vlue Problems 5th Edition Richrd Hbermn Person Eduction Limited Edinburgh Gte Hrlow Essex CM20 2JE Englnd nd Associted Compnies throughout

More information

Why symmetry? Symmetry is often argued from the requirement that the strain energy must be positive. (e.g. Generalized 3-D Hooke s law)

Why symmetry? Symmetry is often argued from the requirement that the strain energy must be positive. (e.g. Generalized 3-D Hooke s law) Why symmetry? Symmetry is oten rgued rom the requirement tht the strin energy must be positie. (e.g. Generlized -D Hooke s lw) One o the derities o energy principles is the Betti- Mxwell reciprocity theorem.

More information

Numerical integration

Numerical integration 2 Numericl integrtion This is pge i Printer: Opque this 2. Introduction Numericl integrtion is problem tht is prt of mny problems in the economics nd econometrics literture. The orgniztion of this chpter

More information

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz

More information

Section 4.8. D v(t j 1 ) t. (4.8.1) j=1

Section 4.8. D v(t j 1 ) t. (4.8.1) j=1 Difference Equtions to Differentil Equtions Section.8 Distnce, Position, nd the Length of Curves Although we motivted the definition of the definite integrl with the notion of re, there re mny pplictions

More information

Discrete Least-squares Approximations

Discrete Least-squares Approximations Discrete Lest-squres Approximtions Given set of dt points (x, y ), (x, y ),, (x m, y m ), norml nd useful prctice in mny pplictions in sttistics, engineering nd other pplied sciences is to construct curve

More information

Math 1B, lecture 4: Error bounds for numerical methods

Math 1B, lecture 4: Error bounds for numerical methods Mth B, lecture 4: Error bounds for numericl methods Nthn Pflueger 4 September 0 Introduction The five numericl methods descried in the previous lecture ll operte by the sme principle: they pproximte the

More information

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner

More information

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn

More information

Review of Gaussian Quadrature method

Review of Gaussian Quadrature method Review of Gussin Qudrture method Nsser M. Asi Spring 006 compiled on Sundy Decemer 1, 017 t 09:1 PM 1 The prolem To find numericl vlue for the integrl of rel vlued function of rel vrile over specific rnge

More information

Chapter 3 Polynomials

Chapter 3 Polynomials Dr M DRAIEF As described in the introduction of Chpter 1, pplictions of solving liner equtions rise in number of different settings In prticulr, we will in this chpter focus on the problem of modelling

More information

Purpose of the experiment

Purpose of the experiment Newton s Lws II PES 6 Advnced Physics Lb I Purpose of the experiment Exmine two cses using Newton s Lws. Sttic ( = 0) Dynmic ( 0) fyi fyi Did you know tht the longest recorded flight of chicken is thirteen

More information

Module 6: LINEAR TRANSFORMATIONS

Module 6: LINEAR TRANSFORMATIONS Module 6: LINEAR TRANSFORMATIONS. Trnsformtions nd mtrices Trnsformtions re generliztions of functions. A vector x in some set S n is mpped into m nother vector y T( x). A trnsformtion is liner if, for

More information

Orthogonal Polynomials and Least-Squares Approximations to Functions

Orthogonal Polynomials and Least-Squares Approximations to Functions Chpter Orthogonl Polynomils nd Lest-Squres Approximtions to Functions **4/5/3 ET. Discrete Lest-Squres Approximtions Given set of dt points (x,y ), (x,y ),..., (x m,y m ), norml nd useful prctice in mny

More information

Explain shortly the meaning of the following eight words in relation to shells structures.

Explain shortly the meaning of the following eight words in relation to shells structures. Delft University of Technology Fculty of Civil Engineering nd Geosciences Structurl Mechnics Section Write your nme nd study number t the top right-hnd of your work. Exm CIE4143 Shell Anlysis Tuesdy 15

More information

Factors affecting the phonation threshold pressure and frequency

Factors affecting the phonation threshold pressure and frequency 3SC Fctors ffecting the phontion threshold pressure nd frequency Zhoyn Zhng School of Medicine, University of Cliforni Los Angeles, CA, USA My, 9 57 th ASA Meeting, Portlnd, Oregon Acknowledgment: Reserch

More information

8 Laplace s Method and Local Limit Theorems

8 Laplace s Method and Local Limit Theorems 8 Lplce s Method nd Locl Limit Theorems 8. Fourier Anlysis in Higher DImensions Most of the theorems of Fourier nlysis tht we hve proved hve nturl generliztions to higher dimensions, nd these cn be proved

More information

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1 Exm, Mthemtics 471, Section ETY6 6:5 pm 7:4 pm, Mrch 1, 16, IH-115 Instructor: Attil Máté 1 17 copies 1. ) Stte the usul sufficient condition for the fixed-point itertion to converge when solving the eqution

More information

13.4 Work done by Constant Forces

13.4 Work done by Constant Forces 13.4 Work done by Constnt Forces We will begin our discussion of the concept of work by nlyzing the motion of n object in one dimension cted on by constnt forces. Let s consider the following exmple: push

More information

CBE 291b - Computation And Optimization For Engineers

CBE 291b - Computation And Optimization For Engineers The University of Western Ontrio Fculty of Engineering Science Deprtment of Chemicl nd Biochemicl Engineering CBE 9b - Computtion And Optimiztion For Engineers Mtlb Project Introduction Prof. A. Jutn Jn

More information

Numerical Integration

Numerical Integration Chpter 5 Numericl Integrtion Numericl integrtion is the study of how the numericl vlue of n integrl cn be found. Methods of function pproximtion discussed in Chpter??, i.e., function pproximtion vi the

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

Lecture 19: Continuous Least Squares Approximation

Lecture 19: Continuous Least Squares Approximation Lecture 19: Continuous Lest Squres Approximtion 33 Continuous lest squres pproximtion We begn 31 with the problem of pproximting some f C[, b] with polynomil p P n t the discrete points x, x 1,, x m for

More information

CHM Physical Chemistry I Chapter 1 - Supplementary Material

CHM Physical Chemistry I Chapter 1 - Supplementary Material CHM 3410 - Physicl Chemistry I Chpter 1 - Supplementry Mteril For review of some bsic concepts in mth, see Atkins "Mthemticl Bckground 1 (pp 59-6), nd "Mthemticl Bckground " (pp 109-111). 1. Derivtion

More information

Chapter 4: Techniques of Circuit Analysis. Chapter 4: Techniques of Circuit Analysis

Chapter 4: Techniques of Circuit Analysis. Chapter 4: Techniques of Circuit Analysis Chpter 4: Techniques of Circuit Anlysis Terminology Node-Voltge Method Introduction Dependent Sources Specil Cses Mesh-Current Method Introduction Dependent Sources Specil Cses Comprison of Methods Source

More information

MAT 168: Calculus II with Analytic Geometry. James V. Lambers

MAT 168: Calculus II with Analytic Geometry. James V. Lambers MAT 68: Clculus II with Anlytic Geometry Jmes V. Lmbers Februry 7, Contents Integrls 5. Introduction............................ 5.. Differentil Clculus nd Quotient Formuls...... 5.. Integrl Clculus nd

More information

Numerical Analysis: Trapezoidal and Simpson s Rule

Numerical Analysis: Trapezoidal and Simpson s Rule nd Simpson s Mthemticl question we re interested in numericlly nswering How to we evlute I = f (x) dx? Clculus tells us tht if F(x) is the ntiderivtive of function f (x) on the intervl [, b], then I =

More information

The Regulated and Riemann Integrals

The Regulated and Riemann Integrals Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue

More information

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008 Mth 520 Finl Exm Topic Outline Sections 1 3 (Xio/Dums/Liw) Spring 2008 The finl exm will be held on Tuesdy, My 13, 2-5pm in 117 McMilln Wht will be covered The finl exm will cover the mteril from ll of

More information

Lecture 14: Quadrature

Lecture 14: Quadrature Lecture 14: Qudrture This lecture is concerned with the evlution of integrls fx)dx 1) over finite intervl [, b] The integrnd fx) is ssumed to be rel-vlues nd smooth The pproximtion of n integrl by numericl

More information

#6A&B Magnetic Field Mapping

#6A&B Magnetic Field Mapping #6A& Mgnetic Field Mpping Gol y performing this lb experiment, you will: 1. use mgnetic field mesurement technique bsed on Frdy s Lw (see the previous experiment),. study the mgnetic fields generted by

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION DOI:.38/NMAT343 Hybrid Elstic olids Yun Li, Ying Wu, Ping heng, Zho-Qing Zhng* Deprtment of Physics, Hong Kong University of cience nd Technology Cler Wter By, Kowloon, Hong Kong, Chin E-mil: phzzhng@ust.hk

More information

3.4 Numerical integration

3.4 Numerical integration 3.4. Numericl integrtion 63 3.4 Numericl integrtion In mny economic pplictions it is necessry to compute the definite integrl of relvlued function f with respect to "weight" function w over n intervl [,

More information

Best Approximation. Chapter The General Case

Best Approximation. Chapter The General Case Chpter 4 Best Approximtion 4.1 The Generl Cse In the previous chpter, we hve seen how n interpolting polynomil cn be used s n pproximtion to given function. We now wnt to find the best pproximtion to given

More information

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite Unit #8 : The Integrl Gols: Determine how to clculte the re described by function. Define the definite integrl. Eplore the reltionship between the definite integrl nd re. Eplore wys to estimte the definite

More information

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1 3 9. SEQUENCES AND SERIES 63. Representtion of functions s power series Consider power series x 2 + x 4 x 6 + x 8 + = ( ) n x 2n It is geometric series with q = x 2 nd therefore it converges for ll q =

More information

4.4 Areas, Integrals and Antiderivatives

4.4 Areas, Integrals and Antiderivatives . res, integrls nd ntiderivtives 333. Ares, Integrls nd Antiderivtives This section explores properties of functions defined s res nd exmines some connections mong res, integrls nd ntiderivtives. In order

More information

Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur

Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur Module Anlysis of Stticlly Indeterminte Structures by the Mtrix Force Method Version CE IIT, Khrgpur esson 8 The Force Method of Anlysis: Bems Version CE IIT, Khrgpur Instructionl Objectives After reding

More information

x = b a N. (13-1) The set of points used to subdivide the range [a, b] (see Fig. 13.1) is

x = b a N. (13-1) The set of points used to subdivide the range [a, b] (see Fig. 13.1) is Jnury 28, 2002 13. The Integrl The concept of integrtion, nd the motivtion for developing this concept, were described in the previous chpter. Now we must define the integrl, crefully nd completely. According

More information

3 Conservation Laws, Constitutive Relations, and Some Classical PDEs

3 Conservation Laws, Constitutive Relations, and Some Classical PDEs 3 Conservtion Lws, Constitutive Reltions, nd Some Clssicl PDEs As topic between the introduction of PDEs nd strting to consider wys to solve them, this section introduces conservtion of mss nd its differentil

More information

1.9 C 2 inner variations

1.9 C 2 inner variations 46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for

More information

Quantum Physics II (8.05) Fall 2013 Assignment 2

Quantum Physics II (8.05) Fall 2013 Assignment 2 Quntum Physics II (8.05) Fll 2013 Assignment 2 Msschusetts Institute of Technology Physics Deprtment Due Fridy September 20, 2013 September 13, 2013 3:00 pm Suggested Reding Continued from lst week: 1.

More information

A - INTRODUCTION AND OVERVIEW

A - INTRODUCTION AND OVERVIEW MMJ5 COMPUTATIONAL METHOD IN SOLID MECHANICS A - INTRODUCTION AND OVERVIEW INTRODUCTION AND OVERVIEW M.N. Tmin, CSMLb, UTM MMJ5 COMPUTATIONAL METHOD IN SOLID MECHANICS Course Content: A INTRODUCTION AND

More information

Consequently, the temperature must be the same at each point in the cross section at x. Let:

Consequently, the temperature must be the same at each point in the cross section at x. Let: HW 2 Comments: L1-3. Derive the het eqution for n inhomogeneous rod where the therml coefficients used in the derivtion of the het eqution for homogeneous rod now become functions of position x in the

More information

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation 1 1.1. Liner Constnt Coefficient Equtions Section Objective(s): Overview of Differentil Equtions. Liner Differentil Equtions. Solving Liner Differentil Equtions. The Initil Vlue Problem. 1.1.1. Overview

More information

R. I. Badran Solid State Physics

R. I. Badran Solid State Physics I Bdrn Solid Stte Physics Crystl vibrtions nd the clssicl theory: The ssmption will be mde to consider tht the men eqilibrim position of ech ion is t Brvis lttice site The ions oscillte bot this men position

More information

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further

More information

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties; Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

Final Exam - Review MATH Spring 2017

Final Exam - Review MATH Spring 2017 Finl Exm - Review MATH 5 - Spring 7 Chpter, 3, nd Sections 5.-5.5, 5.7 Finl Exm: Tuesdy 5/9, :3-7:pm The following is list of importnt concepts from the sections which were not covered by Midterm Exm or.

More information

The Active Universe. 1 Active Motion

The Active Universe. 1 Active Motion The Active Universe Alexnder Glück, Helmuth Hüffel, Sš Ilijić, Gerld Kelnhofer Fculty of Physics, University of Vienn helmuth.hueffel@univie.c.t Deprtment of Physics, FER, University of Zgreb ss.ilijic@fer.hr

More information

Introduction to Finite Element Method

Introduction to Finite Element Method Introduction to Finite Element Method Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI bluebox.ippt.pn.pl/ tzielins/ Tble of Contents 1 Introduction 1 1.1 Motivtion nd generl concepts.............

More information

p-adic Egyptian Fractions

p-adic Egyptian Fractions p-adic Egyptin Frctions Contents 1 Introduction 1 2 Trditionl Egyptin Frctions nd Greedy Algorithm 2 3 Set-up 3 4 p-greedy Algorithm 5 5 p-egyptin Trditionl 10 6 Conclusion 1 Introduction An Egyptin frction

More information

Problem Set 3 Solutions

Problem Set 3 Solutions Chemistry 36 Dr Jen M Stndrd Problem Set 3 Solutions 1 Verify for the prticle in one-dimensionl box by explicit integrtion tht the wvefunction ψ ( x) π x is normlized To verify tht ψ ( x) is normlized,

More information

System Identification with Noisy Data

System Identification with Noisy Data System Identifiction with Noisy Dt U K Dewngn & S V Bri 2 Dept of Civil Engineering, Ntionl Institute of Technology, Ripur, Indi 2 Dept of Civil Engineering, IIT Khrgpur, Khrgpur -72 302, Indi E-mil :

More information

Week 10: Line Integrals

Week 10: Line Integrals Week 10: Line Integrls Introduction In this finl week we return to prmetrised curves nd consider integrtion long such curves. We lredy sw this in Week 2 when we integrted long curve to find its length.

More information

Matrix Eigenvalues and Eigenvectors September 13, 2017

Matrix Eigenvalues and Eigenvectors September 13, 2017 Mtri Eigenvlues nd Eigenvectors September, 7 Mtri Eigenvlues nd Eigenvectors Lrry Cretto Mechnicl Engineering 5A Seminr in Engineering Anlysis September, 7 Outline Review lst lecture Definition of eigenvlues

More information

THE INTERVAL LATTICE BOLTZMANN METHOD FOR TRANSIENT HEAT TRANSFER IN A SILICON THIN FILM

THE INTERVAL LATTICE BOLTZMANN METHOD FOR TRANSIENT HEAT TRANSFER IN A SILICON THIN FILM ROMAI J., v.9, no.2(2013), 173 179 THE INTERVAL LATTICE BOLTZMANN METHOD FOR TRANSIENT HEAT TRANSFER IN A SILICON THIN FILM Alicj Piseck-Belkhyt, Ann Korczk Institute of Computtionl Mechnics nd Engineering,

More information

Forces from Strings Under Tension A string under tension medites force: the mgnitude of the force from section of string is the tension T nd the direc

Forces from Strings Under Tension A string under tension medites force: the mgnitude of the force from section of string is the tension T nd the direc Physics 170 Summry of Results from Lecture Kinemticl Vribles The position vector ~r(t) cn be resolved into its Crtesin components: ~r(t) =x(t)^i + y(t)^j + z(t)^k. Rtes of Chnge Velocity ~v(t) = d~r(t)=

More information

Monte Carlo method in solving numerical integration and differential equation

Monte Carlo method in solving numerical integration and differential equation Monte Crlo method in solving numericl integrtion nd differentil eqution Ye Jin Chemistry Deprtment Duke University yj66@duke.edu Abstrct: Monte Crlo method is commonly used in rel physics problem. The

More information

Matrices, Moments and Quadrature, cont d

Matrices, Moments and Quadrature, cont d Jim Lmbers MAT 285 Summer Session 2015-16 Lecture 2 Notes Mtrices, Moments nd Qudrture, cont d We hve described how Jcobi mtrices cn be used to compute nodes nd weights for Gussin qudrture rules for generl

More information

Quantum Physics I (8.04) Spring 2016 Assignment 8

Quantum Physics I (8.04) Spring 2016 Assignment 8 Quntum Physics I (8.04) Spring 206 Assignment 8 MIT Physics Deprtment Due Fridy, April 22, 206 April 3, 206 2:00 noon Problem Set 8 Reding: Griffiths, pges 73-76, 8-82 (on scttering sttes). Ohnin, Chpter

More information

Applied Physics Introduction to Vibrations and Waves (with a focus on elastic waves) Course Outline

Applied Physics Introduction to Vibrations and Waves (with a focus on elastic waves) Course Outline Applied Physics Introduction to Vibrtions nd Wves (with focus on elstic wves) Course Outline Simple Hrmonic Motion && + ω 0 ω k /m k elstic property of the oscilltor Elstic properties of terils Stretching,

More information

Generalizations of the Basic Functional

Generalizations of the Basic Functional 3 Generliztions of the Bsic Functionl 3 1 Chpter 3: GENERALIZATIONS OF THE BASIC FUNCTIONAL TABLE OF CONTENTS Pge 3.1 Functionls with Higher Order Derivtives.......... 3 3 3.2 Severl Dependent Vribles...............

More information

Orthogonal Polynomials

Orthogonal Polynomials Mth 4401 Gussin Qudrture Pge 1 Orthogonl Polynomils Orthogonl polynomils rise from series solutions to differentil equtions, lthough they cn be rrived t in vriety of different mnners. Orthogonl polynomils

More information

INTRODUCTION TO LINEAR ALGEBRA

INTRODUCTION TO LINEAR ALGEBRA ME Applied Mthemtics for Mechnicl Engineers INTRODUCTION TO INEAR AGEBRA Mtrices nd Vectors Prof. Dr. Bülent E. Pltin Spring Sections & / ME Applied Mthemtics for Mechnicl Engineers INTRODUCTION TO INEAR

More information

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1 Mth 33 Volume Stewrt 5.2 Geometry of integrls. In this section, we will lern how to compute volumes using integrls defined by slice nlysis. First, we recll from Clculus I how to compute res. Given the

More information

1 Bending of a beam with a rectangular section

1 Bending of a beam with a rectangular section 1 Bending of bem with rectngulr section x3 Episseur b M x 2 x x 1 2h M Figure 1 : Geometry of the bem nd pplied lod The bem in figure 1 hs rectngur section (thickness 2h, width b. The pplied lod is pure

More information

Partial Derivatives. Limits. For a single variable function f (x), the limit lim

Partial Derivatives. Limits. For a single variable function f (x), the limit lim Limits Prtil Derivtives For single vrible function f (x), the limit lim x f (x) exists only if the right-hnd side limit equls to the left-hnd side limit, i.e., lim f (x) = lim f (x). x x + For two vribles

More information

The steps of the hypothesis test

The steps of the hypothesis test ttisticl Methods I (EXT 7005) Pge 78 Mosquito species Time of dy A B C Mid morning 0.0088 5.4900 5.5000 Mid Afternoon.3400 0.0300 0.8700 Dusk 0.600 5.400 3.000 The Chi squre test sttistic is the sum of

More information

Do the one-dimensional kinetic energy and momentum operators commute? If not, what operator does their commutator represent?

Do the one-dimensional kinetic energy and momentum operators commute? If not, what operator does their commutator represent? 1 Problem 1 Do the one-dimensionl kinetic energy nd momentum opertors commute? If not, wht opertor does their commuttor represent? KE ˆ h m d ˆP i h d 1.1 Solution This question requires clculting the

More information

CHAPTER 4a. ROOTS OF EQUATIONS

CHAPTER 4a. ROOTS OF EQUATIONS CHAPTER 4. ROOTS OF EQUATIONS A. J. Clrk School o Engineering Deprtment o Civil nd Environmentl Engineering by Dr. Ibrhim A. Asskk Spring 00 ENCE 03 - Computtion Methods in Civil Engineering II Deprtment

More information

Math 8 Winter 2015 Applications of Integration

Math 8 Winter 2015 Applications of Integration Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl

More information

The First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a).

The First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a). The Fundmentl Theorems of Clculus Mth 4, Section 0, Spring 009 We now know enough bout definite integrls to give precise formultions of the Fundmentl Theorems of Clculus. We will lso look t some bsic emples

More information