5. VIBRATIONS OF CONTINUOUS SYSTEMS
|
|
- Jonathan Fitzgerald
- 7 years ago
- Views:
Transcription
1 5. Te vibrating string. 5. VIBRATIONS OF CONTINUOUS SYSTEMS Consider a uniform string, of mass per unit lengt ρ, stretced under tension T, between two supports distance L apart, as sown below. u(x) x dx L Equilibrium position Wit te assumption of small vibrations about equilibrium, te tension T in te spring may be considered constant, ie. independent of te time t and te position x. Te free body diagram for te string s element of infinitesimal lengt dx, laid originally in te interval [x,x+dx], is sown below. T( θ + θ x dx) T θ + θ x dx T θ dx Tθ Tus, te mass of te element is ρdx, its acceleration is t Newton s second law, applied in te u direction, gives u, and te ρ u d x T θ t = + θ θ x dx T, (5..) wic simplifies to ρ t u θ T x =. (5..)
2 But, by definition te slop θ(x) is θ = u x. (5..3) Hence, substituting (3) in () gives ρ u t u T x =, (5..4) or u t u = c, (5..5) x were c T = ρ. (5..6) Te parameter c is known as te speed propagation of waves in te string. Te dynamic of te string is determined by te differential equation (5), te boundary conditions u( 0, t) u( L, t) (5..7) and te initial conditions u( x, 0) = f ( x) u ( x, 0) = g( x) t, (5..8) were f(x) and g(x) describe te displacement and velocity of te string at te time t=0, respectively. Equations (5)-(7) caracterise te string and its configuration. Te properties of te system, ie, its natural frequencies and mode sapes of vibrations, are tus determined by (5)-(7) alone. To obtain te 3
3 actual displacement u(x,t) of (5), for eac time t and point x, we must use te initial conditions (8) as well. Let us now determine te natural frequencies and mode sapes of te string. As done in te previous capters, we assume tat te string vibrates wit armonic motion of te form u( x, t) = v( x) sinω t. (5..9) Note tat by tis assumption we ave separated te variables x and t. Substituting (9) in (5) gives or ω v sinωt = c v sin ωt, (5..0) v + ω 0, (5..) v c = were primes denotes derivatives wit respect to x. Substituting (9) in (7) gives v( 0) sinωt v( L) sinωt. (5..) An assumption tat sinωt=0 leads troug (9) to a trivial solution u(x,t)=0. Suc a solution is not of interest since it predicts te dynamics of te string only in te case were te initial conditions (8) vanis. Trivially tere is no motion at all in tis case. We tus conclude tat () implies v( 0) v( L). (5..3) Combining () and (3) we obtain te eigenvalue problem were v + λv v( 0), v( L), (5..4) 4
4 λ = ω c. (5..5) In analogy wit te discrete eigenvalue problem ( K λm ) φ = o, te continuous eigenvalue problem (4) requires evaluation of te eigenvalues λ i and teir associated eigenfunctions v i (x). Te general solution of te differential equation in (4) is v( x) = A sin λx + A cos λ x, (5..6) were A and A are arbitrary constants. Proof. It follows from (6) tat v = A λsin λx A λcos λx. Hence te differential equation in (4) gives v + λv = A λsin λx A λcos λx + λ( A sin λx + A cos λx ), and v(x) is expressed in terms of two arbitrary constants. Te left boundary condition in (4) yields so tat (6) reduces to v( 0) = A, (5..7) v( x) = A sin λ x. (5..8) Te rigt boundary condition in (4) gives v( L) = A sin L = λ. (5..9) 0 5
5 Selecting A =0 leads to te trivial solution v(x)=u(x,t)=0. We terefore coose sin λl, (5..0) and obtain te eigenvalues λ i λ i L = i π, i =,, 3,... (5..) Te natural frequencies ( ) ω n i of te string are determined by using (5) ( ω ) n i icπ =, i =,, 3,... (5..) L Natural frequencies of a fixed-fixed string By (8) teir associated eigenfunctions v i are vi ( x ) = sin iπ L x. (5..3) Eigenfunctions, or mode-sapes, of te fixed-fixed string In te discrete case te eigenvectors can be scaled arbitrarily. Similarly, te eigenfunctions of te continuous system are determined up to a scalar constant A (see (9)). In (3) we use (9) wit A =. We know tat resonance occurs wen a multi-degree-of-freedom system is excited by a armonic force wit frequency tat is equal to a natural frequency. Similarly, te string vibrates in resonance wen a armonic force F0 sinω nt is applied to te string, were F 0 is some constant and ω n is one of te natural frequencies () of te string. We now give a pysical interpretation to te mode sapes (or eigenfunction). If te initial conditions are 6
6 u( x, 0) = vi ( x) u ( x, 0) t, (5..4) were v i is te i-t mode sape of te system, ten eac point of te string. More precisely te string ω n i vibrates in a single armonic frequency ( ) vibrates in tis case according to Proof. ic u( x, t) = vi ( x) sin L t It is easily sown by direct substitution tat iπx icπt u( x, t) = sin sin L L π. (5..5) satisfies te differential equation (5), te boundary conditions (7) and te initial conditions (8) wit and iπx f ( x) = sin = L v i g( x). 7
7 5. Te axially vibrating rod. Consider te axially vibrating rod, of density ρ(x), cross-sectional area A(x), fixed at x=0 and free to oscillate at x=l, as sown below. Denote by u(x,t) te displacement of te small element, laying originally in te interval [x, x+dx]. Te free body diagram, for an instant were 0<u(x,t)<u(x+dx,t), is also sown in te figure below. ρ(x), A(x) x dx u(x,t) P( x) x=l P P ( x ) + x dx dx Noting tat te mass of te element is ρadx, its acceleration t tat te Newton s second law gives u, we find P + P + P x dx = Adx u ρ t, (5..) or P x = ρ A u t. (5..) Recall te stress-strain relation 8
8 σ = E ε, (5..3) were σ in te applied stress, E is te modulus of elasticity and ε is te resulting strain. By definition σ = P A (5..4) and ε = u x. (5..5) Hence (3) gives P = EA u x. (5..6) Substituting (6) in () we obtain te differential equation of motion for te non-uniform rod ρ x E x A x u u ( ) ( ) = ( x) A( x) x t. (5..7) Equation of motion for a non-uniform axially vibrating rod For a uniform rod, A(x)=A, E(x)=E, ρ(x)=ρ, and (7) is simplified to u t E u ρ x =. (5..8) Equation of motion for a uniform axially vibrating rod We denote te speed propagation in te uniform rod by c E = ρ (5..9) 9
9 and write (8) in te form u t u = c, (5..0) x identical to te equation governing te motion of te string (5..5). Note owever, tat for te rod c is given by (9), wereas for te string c is given by (5..6). Te boundary conditions for te fixed-free configuration of te rod imply tat tere is no displacement at x=0, and no axial force at x=l (since tere is no pysical contact from te rigt at te free end). In view of (6) P(L)=0 wen te derivative of u wit respect to x vanises. Te boundary conditions are, terefore, u( 0, t) u( L, t) x. (5..) To determine te eigenvalue problem associated wit te differential equation (0) and te boundary conditions () we assume armonic motion of te form u( x, t) = v( x) sinω t (5..) and, upon substitution of () in (0) and (), obtain v'' + λv, λ = ω c v( 0) v'( L). (5..3) Te general solution (5..6) wit te left boundary condition yields v = A sin λ x. (5..4) Te rigt boundary condition gives 30
10 v'( L) = A λcos λ L =. (5..5) 0 Since A =0 or λ=0 lead to te unwanted trivial solution u(x,t)=0, we determine te frequency equation wit te roots cos λl, (5..6) π π π λ i L = 3 5,,,... (5..7) Using (3) we determine te natural frequencies of te fixed-free uniform rod ( ω ) n i = ( i ) cπ L, i =,, 3,... (5..8) Natural frequencies of a fixed-free uniform rod were c is given by (9). Coosing A = arbitrarily te eigenfunction (4) are v i = i x sin ( ) π, i =,, 3,... L (5..9) Mode sapes of a fixed-free uniform rod We could use oter factor for A and obtain anoter factor of te eigenfunction v i. 3
11 Example 5.. Determine te frequency equation and mode sapes of te uniform axially vibrating rod of cross sectional area A, modulus of elasticity E and density ρ, fixed at x=0 and spring supported at x=l, as sown below. x E, A, ρ L k Solution. Te rod at static equilibrium, and in motion, is sown below. At static equilibrium E, A, ρ x L k In motion ku(l,t) u(l,t) Tis illustration sows tat te rigt boundary condition is σ( L, t) ku( L, t) =, (5..0) A were te minus sign in (0) is due to te fact tat compressive stress is negative. By (3) and (5) we ave σ( L, t) (, ) E u L t x =, (5..) 3
12 so tat te rigt boundary condition is E u ( L, t ) ku( L, t) =. (5..) x A It follows tat tis rod is caracterised by te differential equation (8) u t E u ρ x wit te boundary conditions =, (5..3) u( 0, t) u( L, t) = x k EA u ( L, t ) Te armonic motion assumption (). (5..4) u( x, t) = v( x) sinω t, (5..5) troug an identical analysis to tat done for te uniform fixed-free rod, leads to ρω x v( x) = A sin, (5..6) E were v(x) is a mode sape and ω is a natural frequency. Substituting (5) and (6) in te rigt boundary condition of (4) gives or ρω E A ρωl k ρω ωt ω E EA A L cos sin = sin sin t, (5..7) E tan ρlω ρ E A = ω. (5..8) E k Frequency equation for te rod By (6) te mode sapes for te rod are ρω x, (5..9) v( x) = sin were ω is any root of te frequency equation (8). E 33
13 Denote by z te left and rigt side of (8). Ten te natural frequencies ω i of ρe A L te rod are te intersections of z = ω and z = tan ω, as sown k c below. We see from tis grap tat tere is, as expected, infinite number of natural frequencies for te continuous rod. Note also tat te fixed-free rod is a special case were k 0. Te fixed-fixed configuration is anoter extreme, were k. It also follows from te grap below tat te effect of increasing te spring constant k is to increase all te natural frequencies of te system. It was observed by Lord Rayleig tat tis penomenon applies not only for te vibrating rod but to all linear vibratory systems, discrete or continuous. z z L = tan ω c cπ L cπ 3cπ cπ 5cπ 3cπ L L L L L ω ω ω ω 3 z = ρe A k ω Natural frequencies of te fixed-spring supported rod Natural frequencies of te fixed-free rod Natural frequencies of te fixed-fixed rod Lord Rayleig, Te Teory of Sound, Dover, New York,
14 5.3 Approximating natural frequencies and mode sapes of a non-uniform rod by finite differences. Consider te axially vibrating non-uniform rod of cross-sectional area A(x), modulus of elasticity E(x) and density ρ(x), fixed at x=0 and free to vibrate at x=l, as sown below. ρ(x), A(x), E(x) x x=l We found in te section 5. tat tis rod is caracterised by te differential equation of motion (5..7) ρ x E x A x u u ( ) ( ) = ( x) A( x) x t (5.3.) and te boundary conditions u( 0, t) u( L, t) x. (5.3.) Harmonic motion assumption u( x, t) = v( x) sinω t, (5.3.3) leads to te associated eigenvalue problem ( E x A x v x ) ( ) ( ) '( ) ' + λρ( x) A( x) v( x), λ = ω v( 0) v'( L) were, as usual, primes denote derivatives wit respect to x., (5.3.4) 35
15 Depending on te functions A(x), E(x) and ρ(x), te eigenvalue problem (4) may not be solvable in closed form. We may approximate some eigenvalues and eigenvectors of (4) by using finite differences as follows. Partition te rod into n elements of equal lengt = L n and denote te displacements of te rigt and left boundaries of te i-t element by v i- and v i, respectively, as sown below. Let (EA) i and (ρa) i be te flexural rigidity and linear density of te mid-section of te i-t element. v 0 v v v i- v i vi+ v n v v v i- v i v i+ v n Ten a finite difference approximation for te i-t element gives EAv EA v i ' ' v x= ( i 0. 5) ( ) i ( ) and similarly i, (5.3.5) ( EA) v i v i i vi vi ' ( EA) ( EA) v i v i+ i x= ix + i ( EA) i ( EA) i + ( EA) i ( EA) = vi vi + + i+ v i+. (5.3.6) Te finite difference sceme for te differential equation in (4) is terefore 36
16 ( EA) i ( EA) i + ( AE) i ( EA) vi v i + or upon multiplying by + i+ v i+ + λ( ρa) v i i, (5.3.7) ( EA) i ( EA) i + ( AE) i+ ( EA) i+ vi + vi vi+ λ ( ρa) v i i. (5.3.8) Define k i EA i = ( ) (5.3.9) and m = ( A) Ten (8) can be written as i ρ. (5.3.0) ( ) i k v + k + k v k v mv = i i i i+ i i+ i+ i 0 λ. (5.3.) In terms of finite differences, te left boundary condition in (4) gives v 0 (5.3.) and te rigt boundary implies tat or v v n+ vn 0, (5.3.3) = n+ = vn. (5.3.4) Wit (), equation () gives for te first element, i= 37
17 ( ) k + k v k v mv = 0 λ. (5.3.5) Wit (4), equation () gives for te last element, i=n ( ) k v + k + k v k v λmv n n n n+ n n+ n n = k v + k v λmv = n n n n n 0. (5.3.6) Equation () for i=,3,...,n-, togeter wit (5) and (6) can be written in matrix form were ( ) K M v = o K = λ, (5.3.7) k + k k k k + k k 3 3 k3 k3 + k4 k4 O O O k n k n, (5.3.8) m M = m m 3 O m n, (5.3.9) and v = ( v, v,..., ) v n T. (5.3.0) Equation (7) is te well known generalised eigenvalue problem. It can be solved by standard routines (eg. eig(k,m) in Matlab). Te eigenvalues of (7) approximate te square of te natural frequencies of te non-uniform rod. Te eigenvectors of (7) are te approximation of te corresponding mode sapes, measured at x=i, i=,,...,n. 38
18 Tis result as an interesting interpretation. We note tat m i in (0) is te mass of te i-t element. Also, k i in (9) represents te stiffness of a rod of cross-sectional area A i, lengt and modulus of elasticity E i. Te model (7)- (0) tus describes an n degree-of-freedom mass-spring system of n masses, eac equals to te mass of its associate rod element. Tey are connected by rods of lengt, eac wit a stiffness corresponding to te stiffness of te appropriate rod s element, as sown below. m n- k n m n Te finite element model wic as developed matematically in tis section can be tus obtain simply by inspection. All we need to do is to concentrate te mass of eac element in te element s center, and to connect te masses by springs wit constants equal to te element stiffnesses, as sown above. Ten te obtained discrete model can be analysed by te metods of capter 4. Tis metod of modelling as been used for many years by engineers. Te model obtained is alternatively called a lumped parameter model. 39
Instantaneous Rate of Change:
Instantaneous Rate of Cange: Last section we discovered tat te average rate of cange in F(x) can also be interpreted as te slope of a scant line. Te average rate of cange involves te cange in F(x) over
More informationMath 113 HW #5 Solutions
Mat 3 HW #5 Solutions. Exercise.5.6. Suppose f is continuous on [, 5] and te only solutions of te equation f(x) = 6 are x = and x =. If f() = 8, explain wy f(3) > 6. Answer: Suppose we ad tat f(3) 6. Ten
More informationACT Math Facts & Formulas
Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Rationals: fractions, tat is, anyting expressable as a ratio of integers Reals: integers plus rationals plus special numbers suc as
More informationSAT Subject Math Level 1 Facts & Formulas
Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Reals: integers plus fractions, decimals, and irrationals ( 2, 3, π, etc.) Order Of Operations: Aritmetic Sequences: PEMDAS (Parenteses
More informationMATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION
MATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION Tis tutorial is essential pre-requisite material for anyone stuing mecanical engineering. Tis tutorial uses te principle of
More informationSection 3.3. Differentiation of Polynomials and Rational Functions. Difference Equations to Differential Equations
Difference Equations to Differential Equations Section 3.3 Differentiation of Polynomials an Rational Functions In tis section we begin te task of iscovering rules for ifferentiating various classes of
More informationVerifying Numerical Convergence Rates
1 Order of accuracy Verifying Numerical Convergence Rates We consider a numerical approximation of an exact value u. Te approximation depends on a small parameter, suc as te grid size or time step, and
More informationFINITE DIFFERENCE METHODS
FINITE DIFFERENCE METHODS LONG CHEN Te best known metods, finite difference, consists of replacing eac derivative by a difference quotient in te classic formulation. It is simple to code and economic to
More informationIn other words the graph of the polynomial should pass through the points
Capter 3 Interpolation Interpolation is te problem of fitting a smoot curve troug a given set of points, generally as te grap of a function. It is useful at least in data analysis (interpolation is a form
More informationSections 3.1/3.2: Introducing the Derivative/Rules of Differentiation
Sections 3.1/3.2: Introucing te Derivative/Rules of Differentiation 1 Tangent Line Before looking at te erivative, refer back to Section 2.1, looking at average velocity an instantaneous velocity. Here
More informationf(a + h) f(a) f (a) = lim
Lecture 7 : Derivative AS a Function In te previous section we defined te derivative of a function f at a number a (wen te function f is defined in an open interval containing a) to be f (a) 0 f(a + )
More informationThe Derivative as a Function
Section 2.2 Te Derivative as a Function 200 Kiryl Tsiscanka Te Derivative as a Function DEFINITION: Te derivative of a function f at a number a, denoted by f (a), is if tis limit exists. f (a) f(a+) f(a)
More informationProjective Geometry. Projective Geometry
Euclidean versus Euclidean geometry describes sapes as tey are Properties of objects tat are uncanged by rigid motions» Lengts» Angles» Parallelism Projective geometry describes objects as tey appear Lengts,
More informationDerivatives Math 120 Calculus I D Joyce, Fall 2013
Derivatives Mat 20 Calculus I D Joyce, Fall 203 Since we ave a good understanding of its, we can develop derivatives very quickly. Recall tat we defined te derivative f x of a function f at x to be te
More informationLecture 10: What is a Function, definition, piecewise defined functions, difference quotient, domain of a function
Lecture 10: Wat is a Function, definition, piecewise defined functions, difference quotient, domain of a function A function arises wen one quantity depends on anoter. Many everyday relationsips between
More informationSolutions by: KARATUĞ OZAN BiRCAN. PROBLEM 1 (20 points): Let D be a region, i.e., an open connected set in
KOÇ UNIVERSITY, SPRING 2014 MATH 401, MIDTERM-1, MARCH 3 Instructor: BURAK OZBAGCI TIME: 75 Minutes Solutions by: KARATUĞ OZAN BiRCAN PROBLEM 1 (20 points): Let D be a region, i.e., an open connected set
More informationThe EOQ Inventory Formula
Te EOQ Inventory Formula James M. Cargal Matematics Department Troy University Montgomery Campus A basic problem for businesses and manufacturers is, wen ordering supplies, to determine wat quantity of
More information2 Limits and Derivatives
2 Limits and Derivatives 2.7 Tangent Lines, Velocity, and Derivatives A tangent line to a circle is a line tat intersects te circle at exactly one point. We would like to take tis idea of tangent line
More informationGeometric Stratification of Accounting Data
Stratification of Accounting Data Patricia Gunning * Jane Mary Horgan ** William Yancey *** Abstract: We suggest a new procedure for defining te boundaries of te strata in igly skewed populations, usual
More information1.6. Analyse Optimum Volume and Surface Area. Maximum Volume for a Given Surface Area. Example 1. Solution
1.6 Analyse Optimum Volume and Surface Area Estimation and oter informal metods of optimizing measures suc as surface area and volume often lead to reasonable solutions suc as te design of te tent in tis
More informationSAT Math Facts & Formulas
Numbers, Sequences, Factors SAT Mat Facts & Formuas Integers:..., -3, -2, -1, 0, 1, 2, 3,... Reas: integers pus fractions, decimas, and irrationas ( 2, 3, π, etc.) Order Of Operations: Aritmetic Sequences:
More informationTangent Lines and Rates of Change
Tangent Lines and Rates of Cange 9-2-2005 Given a function y = f(x), ow do you find te slope of te tangent line to te grap at te point P(a, f(a))? (I m tinking of te tangent line as a line tat just skims
More informationTheoretical calculation of the heat capacity
eoretical calculation of te eat capacity Principle of equipartition of energy Heat capacity of ideal and real gases Heat capacity of solids: Dulong-Petit, Einstein, Debye models Heat capacity of metals
More informationNotes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12.
Capter 6. Fluid Mecanics Notes: Most of te material in tis capter is taken from Young and Freedman, Cap. 12. 6.1 Fluid Statics Fluids, i.e., substances tat can flow, are te subjects of tis capter. But
More informationPressure. Pressure. Atmospheric pressure. Conceptual example 1: Blood pressure. Pressure is force per unit area:
Pressure Pressure is force per unit area: F P = A Pressure Te direction of te force exerted on an object by a fluid is toward te object and perpendicular to its surface. At a microscopic level, te force
More informationCHAPTER 8: DIFFERENTIAL CALCULUS
CHAPTER 8: DIFFERENTIAL CALCULUS 1. Rules of Differentiation As we ave seen, calculating erivatives from first principles can be laborious an ifficult even for some relatively simple functions. It is clearly
More informationPhysics 9e/Cutnell. correlated to the. College Board AP Physics 1 Course Objectives
Physics 9e/Cutnell correlated to the College Board AP Physics 1 Course Objectives Big Idea 1: Objects and systems have properties such as mass and charge. Systems may have internal structure. Enduring
More informationOPTIMAL DISCONTINUOUS GALERKIN METHODS FOR THE ACOUSTIC WAVE EQUATION IN HIGHER DIMENSIONS
OPTIMAL DISCONTINUOUS GALERKIN METHODS FOR THE ACOUSTIC WAVE EQUATION IN HIGHER DIMENSIONS ERIC T. CHUNG AND BJÖRN ENGQUIST Abstract. In tis paper, we developed and analyzed a new class of discontinuous
More informationSAT Math Must-Know Facts & Formulas
SAT Mat Must-Know Facts & Formuas Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Rationas: fractions, tat is, anyting expressabe as a ratio of integers Reas: integers pus rationas
More informationElasticity Theory Basics
G22.3033-002: Topics in Computer Graphics: Lecture #7 Geometric Modeling New York University Elasticity Theory Basics Lecture #7: 20 October 2003 Lecturer: Denis Zorin Scribe: Adrian Secord, Yotam Gingold
More informationChapter 7 Numerical Differentiation and Integration
45 We ave a abit in writing articles publised in scientiþc journals to make te work as Þnised as possible, to cover up all te tracks, to not worry about te blind alleys or describe ow you ad te wrong idea
More informationf(x) f(a) x a Our intuition tells us that the slope of the tangent line to the curve at the point P is m P Q =
Lecture 6 : Derivatives and Rates of Cange In tis section we return to te problem of finding te equation of a tangent line to a curve, y f(x) If P (a, f(a)) is a point on te curve y f(x) and Q(x, f(x))
More informationf(x + h) f(x) h as representing the slope of a secant line. As h goes to 0, the slope of the secant line approaches the slope of the tangent line.
Derivative of f(z) Dr. E. Jacobs Te erivative of a function is efine as a limit: f (x) 0 f(x + ) f(x) We can visualize te expression f(x+) f(x) as representing te slope of a secant line. As goes to 0,
More informationAverage and Instantaneous Rates of Change: The Derivative
9.3 verage and Instantaneous Rates of Cange: Te Derivative 609 OBJECTIVES 9.3 To define and find average rates of cange To define te derivative as a rate of cange To use te definition of derivative to
More information6. Differentiating the exponential and logarithm functions
1 6. Differentiating te exponential and logaritm functions We wis to find and use derivatives for functions of te form f(x) = a x, were a is a constant. By far te most convenient suc function for tis purpose
More informationLINEAR ALGEBRA W W L CHEN
LINEAR ALGEBRA W W L CHEN c W W L Chen, 1997, 2008 This chapter is available free to all individuals, on understanding that it is not to be used for financial gain, and may be downloaded and/or photocopied,
More informationAn inquiry into the multiplier process in IS-LM model
An inquiry into te multiplier process in IS-LM model Autor: Li ziran Address: Li ziran, Room 409, Building 38#, Peing University, Beijing 00.87,PRC. Pone: (86) 00-62763074 Internet Address: jefferson@water.pu.edu.cn
More informationUnit - 6 Vibrations of Two Degree of Freedom Systems
Unit - 6 Vibrations of Two Degree of Freedom Systems Dr. T. Jagadish. Professor for Post Graduation, Department of Mechanical Engineering, Bangalore Institute of Technology, Bangalore Introduction A two
More informationAPPLIED MATHEMATICS ADVANCED LEVEL
APPLIED MATHEMATICS ADVANCED LEVEL INTRODUCTION This syllabus serves to examine candidates knowledge and skills in introductory mathematical and statistical methods, and their applications. For applications
More information1 The Collocation Method
CS410 Assignment 7 Due: 1/5/14 (Fri) at 6pm You must wor eiter on your own or wit one partner. You may discuss bacground issues and general solution strategies wit oters, but te solutions you submit must
More informationASEN 3112 - Structures. MDOF Dynamic Systems. ASEN 3112 Lecture 1 Slide 1
19 MDOF Dynamic Systems ASEN 3112 Lecture 1 Slide 1 A Two-DOF Mass-Spring-Dashpot Dynamic System Consider the lumped-parameter, mass-spring-dashpot dynamic system shown in the Figure. It has two point
More informationNew Vocabulary volume
-. Plan Objectives To find te volume of a prism To find te volume of a cylinder Examples Finding Volume of a Rectangular Prism Finding Volume of a Triangular Prism 3 Finding Volume of a Cylinder Finding
More informationMechanics lecture 7 Moment of a force, torque, equilibrium of a body
G.1 EE1.el3 (EEE1023): Electronics III Mechanics lecture 7 Moment of a force, torque, equilibrium of a body Dr Philip Jackson http://www.ee.surrey.ac.uk/teaching/courses/ee1.el3/ G.2 Moments, torque and
More informationDetermine the perimeter of a triangle using algebra Find the area of a triangle using the formula
Student Name: Date: Contact Person Name: Pone Number: Lesson 0 Perimeter, Area, and Similarity of Triangles Objectives Determine te perimeter of a triangle using algebra Find te area of a triangle using
More informationShell and Tube Heat Exchanger
Sell and Tube Heat Excanger MECH595 Introduction to Heat Transfer Professor M. Zenouzi Prepared by: Andrew Demedeiros, Ryan Ferguson, Bradford Powers November 19, 2009 1 Abstract 2 Contents Discussion
More informationResearch on the Anti-perspective Correction Algorithm of QR Barcode
Researc on te Anti-perspective Correction Algoritm of QR Barcode Jianua Li, Yi-Wen Wang, YiJun Wang,Yi Cen, Guoceng Wang Key Laboratory of Electronic Tin Films and Integrated Devices University of Electronic
More informationSolving partial differential equations (PDEs)
Solving partial differential equations (PDEs) Hans Fangor Engineering and te Environment University of Soutampton United Kingdom fangor@soton.ac.uk May 3, 2012 1 / 47 Outline I 1 Introduction: wat are
More informationSOLUTIONS TO CONCEPTS CHAPTER 15
SOLUTIONS TO CONCEPTS CHAPTER 15 1. v = 40 cm/sec As velocity of a wave is constant location of maximum after 5 sec = 40 5 = 00 cm along negative x-axis. [(x / a) (t / T)]. Given y = Ae a) [A] = [M 0 L
More informationPhysics 41 HW Set 1 Chapter 15
Physics 4 HW Set Chapter 5 Serway 8 th OC:, 4, 7 CQ: 4, 8 P: 4, 5, 8, 8, 0, 9,, 4, 9, 4, 5, 5 Discussion Problems:, 57, 59, 67, 74 OC CQ P: 4, 5, 8, 8, 0, 9,, 4, 9, 4, 5, 5 Discussion Problems:, 57, 59,
More informationwww.mathsbox.org.uk Displacement (x) Velocity (v) Acceleration (a) x = f(t) differentiate v = dx Acceleration Velocity (v) Displacement x
Mechanics 2 : Revision Notes 1. Kinematics and variable acceleration Displacement (x) Velocity (v) Acceleration (a) x = f(t) differentiate v = dx differentiate a = dv = d2 x dt dt dt 2 Acceleration Velocity
More informationM(0) = 1 M(1) = 2 M(h) = M(h 1) + M(h 2) + 1 (h > 1)
Insertion and Deletion in VL Trees Submitted in Partial Fulfillment of te Requirements for Dr. Eric Kaltofen s 66621: nalysis of lgoritms by Robert McCloskey December 14, 1984 1 ackground ccording to Knut
More informationThe elements used in commercial codes can be classified in two basic categories:
CHAPTER 3 Truss Element 3.1 Introduction The single most important concept in understanding FEA, is the basic understanding of various finite elements that we employ in an analysis. Elements are used for
More informationCHAPTER 7. Di erentiation
CHAPTER 7 Di erentiation 1. Te Derivative at a Point Definition 7.1. Let f be a function defined on a neigborood of x 0. f is di erentiable at x 0, if te following it exists: f 0 fx 0 + ) fx 0 ) x 0 )=.
More informationCompute the derivative by definition: The four step procedure
Compute te derivative by definition: Te four step procedure Given a function f(x), te definition of f (x), te derivative of f(x), is lim 0 f(x + ) f(x), provided te limit exists Te derivative function
More informationLS.6 Solution Matrices
LS.6 Solution Matrices In the literature, solutions to linear systems often are expressed using square matrices rather than vectors. You need to get used to the terminology. As before, we state the definitions
More informationThe finite element immersed boundary method: model, stability, and numerical results
Te finite element immersed boundary metod: model, stability, and numerical results Lucia Gastaldi Università di Brescia ttp://dm.ing.unibs.it/gastaldi/ INdAM Worksop, Cortona, September 18, 2006 Joint
More informationSecond Order Linear Partial Differential Equations. Part I
Second Order Linear Partial Differential Equations Part I Second linear partial differential equations; Separation of Variables; - point boundary value problems; Eigenvalues and Eigenfunctions Introduction
More informationChapter 10: Refrigeration Cycles
Capter 10: efrigeration Cycles Te vapor compression refrigeration cycle is a common metod for transferring eat from a low temperature to a ig temperature. Te above figure sows te objectives of refrigerators
More informationPerimeter, Area and Volume of Regular Shapes
Perimeter, Area and Volume of Regular Sapes Perimeter of Regular Polygons Perimeter means te total lengt of all sides, or distance around te edge of a polygon. For a polygon wit straigt sides tis is te
More informationThe modelling of business rules for dashboard reporting using mutual information
8 t World IMACS / MODSIM Congress, Cairns, Australia 3-7 July 2009 ttp://mssanz.org.au/modsim09 Te modelling of business rules for dasboard reporting using mutual information Gregory Calbert Command, Control,
More informationCatalogue no. 12-001-XIE. Survey Methodology. December 2004
Catalogue no. 1-001-XIE Survey Metodology December 004 How to obtain more information Specific inquiries about tis product and related statistics or services sould be directed to: Business Survey Metods
More informationCHAPTER 2. Eigenvalue Problems (EVP s) for ODE s
A SERIES OF CLASS NOTES FOR 005-006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 4 A COLLECTION OF HANDOUTS ON PARTIAL DIFFERENTIAL EQUATIONS
More informationVolumes of Pyramids and Cones. Use the Pythagorean Theorem to find the value of the variable. h 2 m. 1.5 m 12 in. 8 in. 2.5 m
-5 Wat You ll Learn To find te volume of a pramid To find te volume of a cone... And W To find te volume of a structure in te sape of a pramid, as in Eample Volumes of Pramids and Cones Ceck Skills You
More informationPart II: Finite Difference/Volume Discretisation for CFD
Part II: Finite Difference/Volume Discretisation for CFD Finite Volume Metod of te Advection-Diffusion Equation A Finite Difference/Volume Metod for te Incompressible Navier-Stokes Equations Marker-and-Cell
More information3. INNER PRODUCT SPACES
. INNER PRODUCT SPACES.. Definition So far we have studied abstract vector spaces. These are a generalisation of the geometric spaces R and R. But these have more structure than just that of a vector space.
More information13 PERIMETER AND AREA OF 2D SHAPES
13 PERIMETER AND AREA OF D SHAPES 13.1 You can find te perimeter of sapes Key Points Te perimeter of a two-dimensional (D) sape is te total distance around te edge of te sape. l To work out te perimeter
More informationSpring Simple Harmonic Oscillator. Spring constant. Potential Energy stored in a Spring. Understanding oscillations. Understanding oscillations
Spring Simple Harmonic Oscillator Simple Harmonic Oscillations and Resonance We have an object attached to a spring. The object is on a horizontal frictionless surface. We move the object so the spring
More informationEFFECTS ON NUMBER OF CABLES FOR MODAL ANALYSIS OF CABLE-STAYED BRIDGES
EFFECTS ON NUMBER OF CABLES FOR MODAL ANALYSIS OF CABLE-STAYED BRIDGES Yang-Cheng Wang Associate Professor & Chairman Department of Civil Engineering Chinese Military Academy Feng-Shan 83000,Taiwan Republic
More informationMassachusetts Institute of Technology Department of Mechanical Engineering Cambridge, MA 02139
Massachusetts Institute of Technology Department of Mechanical Engineering Cambridge, MA 02139 2.002 Mechanics and Materials II Spring 2004 Laboratory Module No. 1 Elastic behavior in tension, bending,
More informationCan a Lump-Sum Transfer Make Everyone Enjoy the Gains. from Free Trade?
Can a Lump-Sum Transfer Make Everyone Enjoy te Gains from Free Trade? Yasukazu Icino Department of Economics, Konan University June 30, 2010 Abstract I examine lump-sum transfer rules to redistribute te
More informationSuggested solutions, FYS 500 Classical Mechanics and Field Theory 2014 fall
UNIVERSITETET I STAVANGER Institutt for matematikk og naturvitenskap Suggested solutions, FYS 500 Classical Mecanics and Field Teory 014 fall Set 11 for 17/18. November 014 Problem 59: Te Lagrangian for
More informationAnalysis of Stresses and Strains
Chapter 7 Analysis of Stresses and Strains 7.1 Introduction axial load = P / A torsional load in circular shaft = T / I p bending moment and shear force in beam = M y / I = V Q / I b in this chapter, we
More informationCopyright 2011 Casa Software Ltd. www.casaxps.com
Table of Contents Variable Forces and Differential Equations... 2 Differential Equations... 3 Second Order Linear Differential Equations with Constant Coefficients... 6 Reduction of Differential Equations
More information10ème Congrès Français d'acoustique Lyon, 12-16 Avril 2010
ème Congrès Français d'acoustique Lyon, -6 Avril Recent progress in vibration reduction using Acoustic Black Hole effect Vasil B. Georgiev, Jacques Cuenca, Miguel A. Moleron Bermudez, Francois Gautier,
More informationTRADING AWAY WIDE BRANDS FOR CHEAP BRANDS. Swati Dhingra London School of Economics and CEP. Online Appendix
TRADING AWAY WIDE BRANDS FOR CHEAP BRANDS Swati Dingra London Scool of Economics and CEP Online Appendix APPENDIX A. THEORETICAL & EMPIRICAL RESULTS A.1. CES and Logit Preferences: Invariance of Innovation
More informationOscillations. Vern Lindberg. June 10, 2010
Oscillations Vern Lindberg June 10, 2010 You have discussed oscillations in Vibs and Waves: we will therefore touch lightly on Chapter 3, mainly trying to refresh your memory and extend the concepts. 1
More informationA Multigrid Tutorial part two
A Multigrid Tutorial part two William L. Briggs Department of Matematics University of Colorado at Denver Van Emden Henson Center for Applied Scientific Computing Lawrence Livermore National Laboratory
More informationAn Introduction to Partial Differential Equations
An Introduction to Partial Differential Equations Andrew J. Bernoff LECTURE 2 Cooling of a Hot Bar: The Diffusion Equation 2.1. Outline of Lecture An Introduction to Heat Flow Derivation of the Diffusion
More information(Most of the material presented in this chapter is taken from Thornton and Marion, Chap. 7)
Chapter 4. Lagrangian Dynamics (Most of the material presented in this chapter is taken from Thornton and Marion, Chap. 7 4.1 Important Notes on Notation In this chapter, unless otherwise stated, the following
More informationMechanics 1: Conservation of Energy and Momentum
Mechanics : Conservation of Energy and Momentum If a certain quantity associated with a system does not change in time. We say that it is conserved, and the system possesses a conservation law. Conservation
More informationWarm medium, T H T T H T L. s Cold medium, T L
Refrigeration Cycle Heat flows in direction of decreasing temperature, i.e., from ig-temperature to low temperature regions. Te transfer of eat from a low-temperature to ig-temperature requires a refrigerator
More informationSTRESS AND DEFORMATION ANALYSIS OF LINEAR ELASTIC BARS IN TENSION
Chapter 11 STRESS AND DEFORMATION ANALYSIS OF LINEAR ELASTIC BARS IN TENSION Figure 11.1: In Chapter10, the equilibrium, kinematic and constitutive equations for a general three-dimensional solid deformable
More information- 1 - Handout #22 May 23, 2012 Huffman Encoding and Data Compression. CS106B Spring 2012. Handout by Julie Zelenski with minor edits by Keith Schwarz
CS106B Spring 01 Handout # May 3, 01 Huffman Encoding and Data Compression Handout by Julie Zelenski wit minor edits by Keit Scwarz In te early 1980s, personal computers ad ard disks tat were no larger
More information8.2 Elastic Strain Energy
Section 8. 8. Elastic Strain Energy The strain energy stored in an elastic material upon deformation is calculated below for a number of different geometries and loading conditions. These expressions for
More informationExam 1 Practice Problems Solutions
MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Physics 8 Spring 13 Exam 1 Practice Problems Solutions Part I: Short Questions and Concept Questions Problem 1: Spark Plug Pictured at right is a typical
More informationLecture L22-2D Rigid Body Dynamics: Work and Energy
J. Peraire, S. Widnall 6.07 Dynamics Fall 008 Version.0 Lecture L - D Rigid Body Dynamics: Work and Energy In this lecture, we will revisit the principle of work and energy introduced in lecture L-3 for
More informationNote nine: Linear programming CSE 101. 1 Linear constraints and objective functions. 1.1 Introductory example. Copyright c Sanjoy Dasgupta 1
Copyrigt c Sanjoy Dasgupta Figure. (a) Te feasible region for a linear program wit two variables (see tet for details). (b) Contour lines of te objective function: for different values of (profit). Te
More informationThe Heat Equation. Lectures INF2320 p. 1/88
The Heat Equation Lectures INF232 p. 1/88 Lectures INF232 p. 2/88 The Heat Equation We study the heat equation: u t = u xx for x (,1), t >, (1) u(,t) = u(1,t) = for t >, (2) u(x,) = f(x) for x (,1), (3)
More informationON LOCAL LIKELIHOOD DENSITY ESTIMATION WHEN THE BANDWIDTH IS LARGE
ON LOCAL LIKELIHOOD DENSITY ESTIMATION WHEN THE BANDWIDTH IS LARGE Byeong U. Park 1 and Young Kyung Lee 2 Department of Statistics, Seoul National University, Seoul, Korea Tae Yoon Kim 3 and Ceolyong Park
More informationDistances in random graphs with infinite mean degrees
Distances in random graps wit infinite mean degrees Henri van den Esker, Remco van der Hofstad, Gerard Hoogiemstra and Dmitri Znamenski April 26, 2005 Abstract We study random graps wit an i.i.d. degree
More informationNumerical Methods for Differential Equations
Numerical Methods for Differential Equations Course objectives and preliminaries Gustaf Söderlind and Carmen Arévalo Numerical Analysis, Lund University Textbooks: A First Course in the Numerical Analysis
More informationApplication of Fourier Transform to PDE (I) Fourier Sine Transform (application to PDEs defined on a semi-infinite domain)
Application of Fourier Transform to PDE (I) Fourier Sine Transform (application to PDEs defined on a semi-infinite domain) The Fourier Sine Transform pair are F. T. : U = 2/ u x sin x dx, denoted as U
More informationIntroduction to Engineering System Dynamics
CHAPTER 0 Introduction to Engineering System Dynamics 0.1 INTRODUCTION The objective of an engineering analysis of a dynamic system is prediction of its behaviour or performance. Real dynamic systems are
More informationChapter 11. Limits and an Introduction to Calculus. Selected Applications
Capter Limits and an Introduction to Calculus. Introduction to Limits. Tecniques for Evaluating Limits. Te Tangent Line Problem. Limits at Infinit and Limits of Sequences.5 Te Area Problem Selected Applications
More informationHaptic Manipulation of Virtual Materials for Medical Application
Haptic Manipulation of Virtual Materials for Medical Application HIDETOSHI WAKAMATSU, SATORU HONMA Graduate Scool of Healt Care Sciences Tokyo Medical and Dental University, JAPAN wakamatsu.bse@tmd.ac.jp
More informationDispersion diagrams of a water-loaded cylindrical shell obtained from the structural and acoustic responses of the sensor array along the shell
Dispersion diagrams of a water-loaded cylindrical shell obtained from the structural and acoustic responses of the sensor array along the shell B.K. Jung ; J. Ryue ; C.S. Hong 3 ; W.B. Jeong ; K.K. Shin
More information2.12 Student Transportation. Introduction
Introduction Figure 1 At 31 Marc 2003, tere were approximately 84,000 students enrolled in scools in te Province of Newfoundland and Labrador, of wic an estimated 57,000 were transported by scool buses.
More informationAP PHYSICS C Mechanics - SUMMER ASSIGNMENT FOR 2016-2017
AP PHYSICS C Mechanics - SUMMER ASSIGNMENT FOR 2016-2017 Dear Student: The AP physics course you have signed up for is designed to prepare you for a superior performance on the AP test. To complete material
More informationSecond-Order Linear Differential Equations
Second-Order Linear Differential Equations A second-order linear differential equation has the form 1 Px d 2 y dx 2 dy Qx dx Rxy Gx where P, Q, R, and G are continuous functions. We saw in Section 7.1
More information