The end conditions on the beam are modelled by assuming the following boundary conditions on the function u: u(0, t) = u x (0, t) = 0;

Similar documents
Unit - 7 Vibration of Continuous System

SAMPLE FINAL EXAM SOLUTIONS

Math 220a - Fall 2002 Homework 6 Solutions

2.4 Eigenvalue problems

Wave Equation With Homogeneous Boundary Conditions

u tt = a 2 u xx u tt = a 2 (u xx + u yy )

arxiv: v1 [math.gm] 16 Feb 2018

FLUID STRUCTURE INTERACTIONS FLOW INDUCED VIBRATIONS OF STRUCTURES

Strauss PDEs 2e: Section Exercise 4 Page 1 of 6

Math 220B - Summer 2003 Homework 1 Solutions

Ma 221 Final Exam Solutions 5/14/13

Fourier and Partial Differential Equations

6 Non-homogeneous Heat Problems

The Gram-Schmidt Process 1

LECTURE 19: SEPARATION OF VARIABLES, HEAT CONDUCTION IN A ROD

Math 201 Assignment #11

FINAL EXAM, MATH 353 SUMMER I 2015

1 Wave Equation on Finite Interval

An Introduction to Partial Differential Equations

Method of Separation of Variables

Name: Math Homework Set # 5. March 12, 2010

Sturm-Liouville Theory

CHAPTER 10 NOTES DAVID SEAL

MA 262, Fall 2017, Final Version 01(Green)

MATH 251 Final Examination December 16, 2015 FORM A. Name: Student Number: Section:

THE WAVE EQUATION. F = T (x, t) j + T (x + x, t) j = T (sin(θ(x, t)) + sin(θ(x + x, t)))

MATH 251 Final Examination May 3, 2017 FORM A. Name: Student Number: Section:

Math 5587 Midterm II Solutions

VIBRATION ANALYSIS OF WINGS WITH TIP-MOUNTED ENGINE

LEGENDRE POLYNOMIALS AND APPLICATIONS. We construct Legendre polynomials and apply them to solve Dirichlet problems in spherical coordinates.

Ma 530 Power Series II

CIV-E1060 Engineering Computation and Simulation Examination, December 12, 2017 / Niiranen

Degree Master of Science in Mathematical Modelling and Scientific Computing Mathematical Methods I Thursday, 12th January 2012, 9:30 a.m.- 11:30 a.m.

8.7 Taylor s Inequality Math 2300 Section 005 Calculus II. f(x) = ln(1 + x) f(0) = 0

Essential Ordinary Differential Equations

Introduction to the Wave Equation

Boundary-value Problems in Rectangular Coordinates

Physics 250 Green s functions for ordinary differential equations

ENGI 9420 Lecture Notes 8 - PDEs Page 8.01

Consider an ideal pendulum as shown below. l θ is the angular acceleration θ is the angular velocity

AP Calculus (BC) Chapter 9 Test No Calculator Section Name: Date: Period:

Practice Exercises on Differential Equations

Bessel s Equation. MATH 365 Ordinary Differential Equations. J. Robert Buchanan. Fall Department of Mathematics

and verify that it satisfies the differential equation:

There are five problems. Solve four of the five problems. Each problem is worth 25 points. A sheet of convenient formulae is provided.

Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: = 0 : homogeneous equation.

Problem (p.613) Determine all solutions, if any, to the boundary value problem. y + 9y = 0; 0 < x < π, y(0) = 0, y (π) = 6,

CIVL 7/8117 Chapter 4 - Development of Beam Equations - Part 2 1/34. Chapter 4b Development of Beam Equations. Learning Objectives

MATH 251 Final Examination December 16, 2014 FORM A. Name: Student Number: Section:

Review Sol. of More Long Answer Questions

Analysis III for D-BAUG, Fall 2017 Lecture 11

A NEW METHOD FOR VIBRATION MODE ANALYSIS

Solutions Serie 1 - preliminary exercises

Partial Differential Equations Separation of Variables. 1 Partial Differential Equations and Operators

MAE 200B Homework #3 Solutions University of California, Irvine Winter 2005

MATH 251 Final Examination August 14, 2015 FORM A. Name: Student Number: Section:

Lecture 32: Taylor Series and McLaurin series We saw last day that some functions are equal to a power series on part of their domain.

MB4018 Differential equations

MATH 118, LECTURES 27 & 28: TAYLOR SERIES

Calculus I Announcements

Chapter 3 Second Order Linear Equations

MATH 412 Fourier Series and PDE- Spring 2010 SOLUTIONS to HOMEWORK 5

THE METHOD OF SEPARATION OF VARIABLES

Separation of variables in two dimensions. Overview of method: Consider linear, homogeneous equation for u(v 1, v 2 )

MCE503: Modeling and Simulation of Mechatronic Systems. Modeling of Continuous Beams: Finite-Mode Approach

swapneel/207

Exam 3 Solutions. Multiple Choice Questions

OR MSc Maths Revision Course

Ordinary Differential Equations

Study # 1 11, 15, 19

Heat Equation, Wave Equation, Properties, External Forcing

17 Source Problems for Heat and Wave IB- VPs

2.2 Separable Equations

ME 680- Spring Representation and Stability Concepts

The polar coordinates

Section 9.7 and 9.10: Taylor Polynomials and Approximations/Taylor and Maclaurin Series

TAYLOR AND MACLAURIN SERIES

CHAPTER 4. Introduction to the. Heat Conduction Model

Wave Equation Modelling Solutions

Introduction to Sturm-Liouville Theory and the Theory of Generalized Fourier Series

CLASSIFICATION AND PRINCIPLE OF SUPERPOSITION FOR SECOND ORDER LINEAR PDE

Differential Equations

JUST THE MATHS UNIT NUMBER DIFFERENTIATION APPLICATIONS 5 (Maclaurin s and Taylor s series) A.J.Hobson

ENGI 9420 Lecture Notes 8 - PDEs Page 8.01

Separation of variables

Math Assignment 14

Boundary value problems for partial differential equations

23 Elements of analytic ODE theory. Bessel s functions

Partial differential equations (ACM30220)

BOUNDARY-VALUE PROBLEMS IN RECTANGULAR COORDINATES

MATH 251 Final Examination May 4, 2015 FORM A. Name: Student Number: Section:

Appendix C. Modal Analysis of a Uniform Cantilever with a Tip Mass. C.1 Transverse Vibrations. Boundary-Value Problem

IV Higher Order Linear ODEs

Finite reductions of the two dimensional Toda chain

Forced Vibration Analysis of Timoshenko Beam with Discontinuities by Means of Distributions Jiri Sobotka

22. Periodic Functions and Fourier Series

Chapter 3 Higher Order Linear ODEs

Math 4B Notes. Written by Victoria Kala SH 6432u Office Hours: T 12:45 1:45pm Last updated 7/24/2016

Chapter 11. Taylor Series. Josef Leydold Mathematical Methods WS 2018/19 11 Taylor Series 1 / 27

ME 475 Modal Analysis of a Tapered Beam

Transcription:

M344 - ADVANCED ENGINEERING MATHEMATICS Lecture 1: Motion of a Deflected Beam The deflection of a cantilever beam that is fixed at one end and free to move at the other can be shown to satisfy a fourth-order partial differential equation of the form u tt = c u xxxx, where u(x, t) is the deflection at the point x along the length of the beam, at time t. The positive constant c is EI, where A is the cross-sectional area of ρa the beam, ρ is its density, E is the modulus of elasticity, and I is the moment of inertia. u 1 x 1 The end conditions on the beam are modelled by assuming the following boundary conditions on the function u: u(, t) = u x (, t) = ; u xx (L, t) = u xxx (L, t) =, for all t >. Using the method of Separation of Variables, let u(x, t) = X(x)T (t). Then T XT c XT = X T c c XT X β4 for some constant β 4. This results in the two ordinary differential equations c T = X X β 4 X = and T + c β 4 T =. The solution of the second-order equation in T will have the form T n (t) = a n cos(cβ nt) + b n sin(cβ nt), where the constants β 4 n are the eigenvalues of the equation in X. 1

Solution of X β 4 X =, X() = X () = X (L) = X (L) = The characteristic polynomial for this fourth-order boundary-value problem is r 4 β 4 =, and it has the four roots r = ±β, ±βi; therefore, the general solution of the differential equation can be written as X(x) = A cos(βx) + B sin(βx) + C cosh(βx) + D sinh(βx), and differentiating with respect to x, X (x) = βa sin(βx) + βb cos(βx) + βc sinh(βx) + βd cosh(βx). Using the boundary conditions at x =, X() = A + C = C = A; and X () = βb + βd = β(b + D) = D = B. We can now write X(x) = A(cos(βx) cosh(βx)) + B(sin(βx) sinh(βx)) X (x) = βa( sin(βx) sinh(βx)) + βb(cos(βx) cosh(βx)) X (x) = β A( cos(βx) cosh(βx)) + β B( sin(βx) sinh(βx)) X (x) = β 3 A(sin(βx) sinh(βx)) + β 3 B( cos(βx) cosh(βx)) The final two boundary conditions, at x = L, give X (L) = β A( cos(βl) cosh(βl)) + β B( sin(βl) sinh(βl)) = X (L) = β 3 A(sin(βL) sinh(βl)) + β 3 B( cos(βl) cosh(βl)) = and these two equations can be written in matrix form as ( cos(βl) + cosh(βl) sin(βl) + sinh(βl) sin(βl) + sinh(βl) cos(βl) + cosh(βl) ) ( A B ) = ( ). (1) This system of linear equations in A and B will have a unique solution A = B = unless the determinant of the matrix is zero. This means that there will be non-zero solutions if, and only if,

(cos(βl)+cosh(βl))(cos(βl)+cosh(βl))+(sin(βl)+sinh(βl))(sin(βl) sinh(βl)) =. Multiplying out and using the two identities (sin(x)) + (cos(x)) 1 and (cosh(x)) (sinh(x)) 1, results in the equation (cos(βl)) + cosh(βl) cos(βl) + (cosh(βl)) + (sin(βl)) (sinh(βl)) = + cosh(βl) cos(βl) =. (Checkthis!) This means that the eigenvalues β n must satisfy the condition cosh(β n L) cos(β n L) = 1. There will be an infinite sequence of positive solutions Lβ 1 < Lβ <, tending to, which can be found by using the following MAPLE instructions: for n from 1 to 15 do fsolve(cosh(x)*cos(x)=-1., x=(n-1)*pi..n*pi); od; For n equal 1,, and 3 the solutions are Lβ 1 1.8751, Lβ 4.6949, Lβ 3 7.8458; and as n, the solution Lβ n approaches the value (n 1) π. The corresponding eigenfunctions X n (x) are X n (x) = A n (cos(β n x) cosh(β n x)) + B n (sin(β n x) sinh(β n x)), and Equation (1) implies that B n and A n are related by ( ) cos(βn L) + cosh(β n L) B n = A n. sin(β n L) + sinh(β n L) Letting A n = 1, we have a set of eigenfunctions of the form ( ) cos(βn L) + cosh(β n L) φ n (x) = (cos(β n x) cosh(β n x)) (sin(β n x) sinh(β n x)). sin(β n L) + sinh(β n L) () The general solution of the partial differential equation can now be written in the form u(x, t) = φ n (x)t n (t) = φ n (x)(a n cos(cβnt) + b n sin(cβnt)). Two initial conditions on u(x, t) are needed to determine the coefficients a n and b n. These conditions will be given by specifying the initial deflection 3

u(x, ) = f(x) and the initial velocity u t (x, ) = g(x) at each point x along the beam. In order to use these functions to obtain the coefficients a n and b n, it must first be shown that the functions φ n (x) form an orthogonal set on the interval [, L]. Theorem 1 The set of functions {φ n (x)} 1 defined in equation () is an orthogonal family on [, L]; that is φ m(x)φ n (x)dx = if m n. Proof: We first use integration by parts to show that if u and v are any sufficiently differentiable functions on x L, then u vdx = v(x)u (x) L = v(x)u (x) L ( v (x)u (x) L u v dx ) u v dx and integrating by parts two more times = v(x)u (x) L v (x)u (x) L + v (x)u (x) L v (x)u(x) L + If the right-hand term is subtracted from both sides, u vdx uv dx, uv dx = (v(x)u (x) v (x)u (x)+v (x)u (x) v (x)u(x)) L. (3) Now assume u = φ m and v = φ n where φ m and φ n are eigenfunctions of X β 4 X = for two different eigenvalues β n and β m. Then φ m = βmφ 4 m and φ n = βnφ 4 n, and equation (3) shows that φ m φ n dx φ m φ n dx = = (β 4 m β 4 n) β 4 mφ m φ n dx φ m φ n dx = φ m β 4 nφ n dx (φ n (x)φ m(x) φ n(x)φ m(x) + φ n(x)φ m(x) φ n (x)φ m (x)) L When the right-hand side of the equation is evaluated at the two endpoints x = and x = L, the boundary conditions on φ m and φ n can be seen to imply that every product has one term equal to zero; therefore, (βm 4 βn) 4 L φ mφ n dx =, and since β m β n, this means that φ mφ n dx = as required. 4

The values of the coefficients a n and b n can now be found by using the initial conditions. Since u(x, ) f(x) = φ n (x)(a n cos() + b n sin()) = a n φ n (x), the a n are the coefficients in an orthogonal series for f(x); therefore, a n = f(x)φ n(x)dx (φ n(x)) dx. Similarly, u t (x, t) = φ n (x)cβn( a n sin(cβnt) + b n cos(cβnt)) and u t (x, ) g(x) = cβnb n φ n (x) b n = 1 g(x)φ n(x)dx cβn (φ n(x)) dx. Example 1 Assume that c = 1, and the initial displacement function is f(x) =.5x on x 1m. The initial velocity is g(x). Find the displacement u(x, t) and plot the position of the beam at time increments of 1 1 of the period of the function T 1(t)..6 u(x,t) Position at t=k*period/1 k=6.4 k=5...4 k=4 k=3 4 6 8 1 x k= k=1 k= 5

In the figure above, the position of the beam at time k period is labelled 1 by k =, 1,, 6. The period of T 1 (t) = a 1 cos(cβ1) + b 1 sin(cβ1), in this particular example, is π cβ 1. With c = 1 and Lβ 1 1.8751, the period is π 178.7 and the curves labelled k =, 1,, 6 correspond to times (.18751) t =, 14.9, 9.8,, 89.4. In the figure on page 1, the initial beam position was set equal to the first eigenfunction φ 1 (x). In this case, a 1 is the only non-zero coefficient, and the beam will oscillate precisely with period π. For the straight-line initial cβ1 position in the example, the oscillation is no longer exactly periodic because the periods of the functions T, T 3, are not constant multiples of the period of T 1, and none of the coefficients a n are zero for this straight-line initial position function. Exercises: 1. * Determine the second eigenfunction φ (x) and plot a graph for x 1 (assume that the length of the beam is 1).. * Redo Example 1 and find u(x, t), assuming that the initial displacement function is f(x) = φ (x) and the initial velocity function g(x). Find the period of this function u(x, t) and plot a graph showing the position of the beam at several different times during its period. 6