SHOCK AND VIBRATION RESPONSE SPECTRA COURSE Unit 21 Base Excitation Shock: Classical Pulse

Size: px
Start display at page:

Download "SHOCK AND VIBRATION RESPONSE SPECTRA COURSE Unit 21 Base Excitation Shock: Classical Pulse"

Transcription

1 SHOCK AND VIBRAION RESPONSE SPECRA COURSE Ui 1 Base Exciaio Shock: Classical Pulse By om Irvie omirvie@aol.com Iroucio Cosier a srucure subjece o a base exciaio shock pulse. Base exciaio is also referre o as suppor moio. he pulse is ypically efie i erms of acceleraio, alhough i coul be efie i erms of isplaceme of velociy. Examples of base exciaio are 1. A auomobile ravelig ow a washboar roa.. A builig subjece o a earhquake or seismic moio. 3. A crysal oscillaor moue o a circui boar subjece o shock. For simpliciy, he auomobile, builig, or crysal oscillaor ca be moele as a sigleegree-of-freeom sysem. he respose of he objec o a give base exciaio ca he be calculae give he aural frequecy a he ampig raio. Noe ha he mass value is o explicily require. ypically, he peak respose acceleraio is he esire oupu parameer. he aural frequecy of he objec, however, may be ukow. hus, he respose calculaio ca be performe for a series of aural frequecies. he peak acceleraio respose ca he be ploe agais he aural frequecy. he resulig fucio is a shock respose specrum. he shock respose specrum is useful for evaluaig he amage poeial of he shock pulse. he purpose of his Ui is o prese he shock respose specrum for he case of a classical base ipu pulse, such as a half-sie pulse. Derivaio of Equaios Cosier he sigle-egree-of-freeom sysem subjece o base exciaio show i Figure 1. he free-boy iagram is show i Figure. 1

2 m &&x k c &y Figure 1. Sigle-egree-of-freeom Sysem he variables are m = mass, c = viscous ampig coefficie, k = siffess, x = absolue isplaceme of he mass, y = base ipu isplaceme. he ouble-o oaio iicaes acceleraio m &&x k(y-x) c(& y x&) Figure. Free-boy Diagram Defie a relaive isplaceme as follows. Le = x y & = x& y& && = x&& y&& x&& = && y&& he followig equaio of moio for he relaive isplaceme was erive i Ui 8. && ξ & = && y (1) Cosier he half-sie pulse give by equaio ().

3 3 > π =,, A si y&& () () he equaio of moio becomes, A si π = ξ & && (3) Le π = (4) ( ), Asi = ξ & && (5) Equaio (5) may be solve via Laplace rasforms, as show i Referece 1. Afer may seps, he absolue acceleraio urig he pulse is ( ) [ ] ( ) ( ) ( ) [ ] ( ) ( ) ( ) ( ) ( ) ( ) [ ] ( ) { } ( ) ( ) { } ( ) ( ) for, A si si 1 cos exp A cos si A si 1 () cos () () exp x() ξ ξ ξ ξ ξ ξ ξ ξ ξ ξ = & & && (6)

4 he absolue acceleraio afer he pulse is x && () = exp exp ( ξ ( ){[ () ξ() & ] cos( ( )} [ ] si ( ) ( ( ) ξ ξ () ( 1 ξ ) & ( ) ( ), for > (7) Example Cosier he example i able 1. he base pulse is show i Figure 3. he calculaios were mae usig equaios (6) a (7), as implemee i he ahsie.exe program. able 1. Shock Respose Specra, Q=1, Acceleraio Base Ipu =.1 sec, 1 G, Half-sie Pulse Naural Frequecy (H) Peak Posiive Acceleraio (G) Peak Negaive Acceleraio (G) Figure

5 Noe ha oly he peak posiive a egaive values are reaie for each ime hisory respose. he peak values are fou via a simple search meho raher ha a calculus meho. Furhermore, oe ha he peak respose ca occur eiher urig or afer he half-sie pulse. he overall shock respose specrum is show i Figure 7. I is cosruce by ploig he peak posiive a egaive acceleraio ampliues versus aural frequecy i (H). he are oher ypes of shock respose specra which coul be ploe. For example, he absolue value acceleraio respose specrum coul be ploe, isea of he iiviual posiive a egaive specra. Furhermore, he peak isplaceme or peak velociy coul be ploe versus he aural frequecy. I aiio, his process coul be repeae for oher classical pulses, such as rapeoial, sawooh, a recagular pulses. BASE INPU:.1 sec, 1 G HALF-SINE PULSE 1 ACCEL (G) IME (SEC) Figure 3. 5

6 SDOF RESPONSE: FN = 1 H, Q=1 BASE INPU:.1 sec, 1 G HALF-SINE PULSE 15 1 ACCEL (G) IME (SEC) Figure SDOF RESPONSE: FN = 8 H, Q=1 BASE INPU:.1 sec, 1 G HALF-SINE PULSE ACCEL (G) IME (SEC) Figure 5. 6

7 SDOF RESPONSE: FN = 1 H, Q=1 BASE INPU:.1 sec, 1 G HALF-SINE PULSE 15 1 ACCEL (G) IME (SEC) Figure 6. SHOCK RESPONSE SPECRUM Q=1 BASE INPU:.1 msec, 1 G HALF-SINE PULSE 1 Negaive Posiive PEAK ACCEL (G) NAURAL FREQUENCY (H) Figure 7. 7

8 Noe ha he posiive shock respose specrum i Figure 7 coverges o he peak ipu ampliue a higher aural frequecies, say above H. Compoe Shock esig Some shock ess are specifie i erms of a base ipu half-sie pulse. he es may be performe o a rop ower or o a shaker able. here is a sigifica ifferece bewee he posiive a egaive shock respose specra of a half-sie pulse, however, as show i Figure 5. hus, hese specificaios ypically require ha he es be performe i each irecio of each axis. esig o shaker able preses a furher challege. he e isplaceme a e velociy of he shaker able mus each be ero. hus, pre a pos pulses mus be use o achieve hese requiremes. Refereces 1.. Irvie, Respose of a Sigle-egree-of-freeom Sysem Subjece o a Classical Base Exciaio, Vibraioaa.com Publicaios, Homework 1. Repea he example for a half-sie base ipu of.8 secos, 1 G. Assume a ampig value of Q = 1. Use program ahsie.exe for boh he ime hisory respose a shock respose specra calculaios.. Wha is he aural frequecy which has he highes absolue value respose for problem 1? 3. A compoe has alreay bee ese o a 5 G,.11 sec base ipu half-sie pulse. A ew requireme is ha he compoe mus wihsa a 1 G,. sec half-sie pulse. Compare he specificaios i erms of heir correspoig shock respose specra. Wha coclusios ca be mae abou he ee for reesig? 4. Rea uorial srs_ir.pf. 8

ME 3210 Mechatronics II Laboratory Lab 6: Second-Order Dynamic Response

ME 3210 Mechatronics II Laboratory Lab 6: Second-Order Dynamic Response Iroucio ME 30 Mecharoics II Laboraory Lab 6: Seco-Orer Dyamic Respose Seco orer iffereial equaios approimae he yamic respose of may sysems. I his lab you will moel a alumium bar as a seco orer Mass-Sprig-Damper

More information

Modal Analysis of a Tight String

Modal Analysis of a Tight String Moal Aalysis of a Tigh Srig Daiel. S. Sus Associae Professor of Mechaical Egieerig a Egieerig Mechaics Presee o ME Moay, Ocober 30, 000 See: hp://web.ms.eu/~sus/me_classes.hml Basic Theory The srig uer

More information

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

Stochastic Structural Dynamics. Lecture-32. Probabilistic methods in earthquake engineering-1

Stochastic Structural Dynamics. Lecture-32. Probabilistic methods in earthquake engineering-1 Sochasic Srucural Dyamics Lecure-3 Probabilisic mehods i earhquake eieeri- Dr C S Maohar Deparme of Civil Eieeri Professor of Srucural Eieeri Idia Isiue of Sciece Baalore 56 Idia maohar@civil.iisc.ere.i

More information

Electrical Engineering Department Network Lab.

Electrical Engineering Department Network Lab. Par:- Elecrical Egieerig Deparme Nework Lab. Deermiaio of differe parameers of -por eworks ad verificaio of heir ierrelaio ships. Objecive: - To deermie Y, ad ABD parameers of sigle ad cascaded wo Por

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

The Eigen Function of Linear Systems

The Eigen Function of Linear Systems 1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =

More information

Chapter 2: Time-Domain Representations of Linear Time-Invariant Systems. Chih-Wei Liu

Chapter 2: Time-Domain Representations of Linear Time-Invariant Systems. Chih-Wei Liu Caper : Time-Domai Represeaios of Liear Time-Ivaria Sysems Ci-Wei Liu Oulie Iroucio Te Covoluio Sum Covoluio Sum Evaluaio Proceure Te Covoluio Iegral Covoluio Iegral Evaluaio Proceure Iercoecios of LTI

More information

Solutions to selected problems from the midterm exam Math 222 Winter 2015

Solutions to selected problems from the midterm exam Math 222 Winter 2015 Soluios o seleced problems from he miderm eam Mah Wier 5. Derive he Maclauri series for he followig fucios. (cf. Pracice Problem 4 log( + (a L( d. Soluio: We have he Maclauri series log( + + 3 3 4 4 +...,

More information

Clock Skew and Signal Representation

Clock Skew and Signal Representation Clock Skew ad Sigal Represeaio Ch. 7 IBM Power 4 Chip 0/7/004 08 frequecy domai Program Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

BENDING FREQUENCIES OF BEAMS, RODS, AND PIPES Revision S

BENDING FREQUENCIES OF BEAMS, RODS, AND PIPES Revision S BENDING FREQUENCIES OF BEAMS, RODS, AND PIPES Revisio S By Tom Irvie Email: tom@vibratioata.com November, Itrouctio The fuametal frequecies for typical beam cofiguratios are give i Table. Higher frequecies

More information

Transient Vibration Amplification in Nonlinear Torsional Systems with Application. to Vehicle Powertrain DISSERTATION

Transient Vibration Amplification in Nonlinear Torsional Systems with Application. to Vehicle Powertrain DISSERTATION Trasie Vibraio Amplificaio i Noliear Torsioal Sysems wih Applicaio o Vehicle Powerrai DISSERTATION Presee i Parial Fulfillme of he Requiremes for he Degree Docor of Philosophy i he Grauae School of The

More information

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier

More information

DETERMINATION OF PARTICULAR SOLUTIONS OF NONHOMOGENEOUS LINEAR DIFFERENTIAL EQUATIONS BY DISCRETE DECONVOLUTION

DETERMINATION OF PARTICULAR SOLUTIONS OF NONHOMOGENEOUS LINEAR DIFFERENTIAL EQUATIONS BY DISCRETE DECONVOLUTION U.P.B. ci. Bull. eries A Vol. 69 No. 7 IN 3-77 DETERMINATION OF PARTIULAR OLUTION OF NONHOMOGENEOU LINEAR DIFFERENTIAL EQUATION BY DIRETE DEONVOLUTION M. I. ÎRNU e preziă o ouă meoă e eermiare a soluţiilor

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

Calculus BC 2015 Scoring Guidelines

Calculus BC 2015 Scoring Guidelines AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home

More information

Euler s Formula. Complex Numbers - Example. Complex Numbers - Example. Complex Numbers - Review. Complex Numbers - Review.

Euler s Formula. Complex Numbers - Example. Complex Numbers - Example. Complex Numbers - Review. Complex Numbers - Review. Chaper ahemaical ehods Slides o accompay lecures i Vibro-Acousic Desig i echaical Sysems by D. W. Herri Deparme of echaical Egieerig Lexigo, KY 456-5 el: 859-8-69 dherri@egr.uky.edu Euler s Formula he

More information

Fourier transform. Continuous-time Fourier transform (CTFT) ω ω

Fourier transform. Continuous-time Fourier transform (CTFT) ω ω Fourier rasform Coiuous-ime Fourier rasform (CTFT P. Deoe ( he Fourier rasform of he sigal x(. Deermie he followig values, wihou compuig (. a (0 b ( d c ( si d ( d d e iverse Fourier rasform for Re { (

More information

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract A ieresig resul abou subse sums Niu Kichloo Lior Pacher November 27, 1993 Absrac We cosider he problem of deermiig he umber of subses B f1; 2; : : :; g such ha P b2b b k mod, where k is a residue class

More information

12 Getting Started With Fourier Analysis

12 Getting Started With Fourier Analysis Commuicaios Egieerig MSc - Prelimiary Readig Geig Sared Wih Fourier Aalysis Fourier aalysis is cocered wih he represeaio of sigals i erms of he sums of sie, cosie or complex oscillaio waveforms. We ll

More information

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis Joural of aerials Sciece ad Egieerig B 5 (7-8 (5 - doi: 765/6-6/57-8 D DAVID PUBLISHING Opimizaio of Roaig achies Vibraios Limis by he Sprig - ass Sysem Aalysis BENDJAIA Belacem sila, Algéria Absrac: The

More information

Stability. Outline Stability Sab Stability of Digital Systems. Stability for Continuous-time Systems. system is its stability:

Stability. Outline Stability Sab Stability of Digital Systems. Stability for Continuous-time Systems. system is its stability: Oulie Sabiliy Sab Sabiliy of Digial Syem Ieral Sabiliy Exeral Sabiliy Example Roo Locu v ime Repoe Fir Orer Seco Orer Sabiliy e Jury e Rouh Crierio Example Sabiliy A very impora propery of a yamic yem

More information

Math 2414 Homework Set 7 Solutions 10 Points

Math 2414 Homework Set 7 Solutions 10 Points Mah Homework Se 7 Soluios 0 Pois #. ( ps) Firs verify ha we ca use he iegral es. The erms are clearly posiive (he epoeial is always posiive ad + is posiive if >, which i is i his case). For decreasig we

More information

Lecture 9: Polynomial Approximations

Lecture 9: Polynomial Approximations CS 70: Complexiy Theory /6/009 Lecure 9: Polyomial Approximaios Isrucor: Dieer va Melkebeek Scribe: Phil Rydzewski & Piramaayagam Arumuga Naiar Las ime, we proved ha o cosa deph circui ca evaluae he pariy

More information

Fractional Calculus: A Tutorial Presented at

Fractional Calculus: A Tutorial Presented at Syhesis a Processig of Maerials U.S. Army Research, Developme a Egieerig Comma Presee a Nework Froier Workshop Norhweser Uiversiy December 4, 2013 Bruce J. Wes ST- Chief Scieis Mahemaics Army Research

More information

A Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA

A Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA Proceedigs of he 202 Ieraioal Coferece o Idusrial Egieerig ad Operaios Maageme Isabul, urey, July 3 6, 202 A eeralized Cos Malmquis Ide o he Produciviies of Uis wih Negaive Daa i DEA Shabam Razavya Deparme

More information

k=1 s k (x) (3) and that the corresponding infinite series may also converge; moreover, if it converges, then it defines a function S through its sum

k=1 s k (x) (3) and that the corresponding infinite series may also converge; moreover, if it converges, then it defines a function S through its sum 0. L Hôpital s rule You alreay kow from Lecture 0 that ay sequece {s k } iuces a sequece of fiite sums {S } through S = s k, a that if s k 0 as k the {S } may coverge to the it k= S = s s s 3 s 4 = s k.

More information

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral Usig Lii's Ideiy o Approimae he Prime Couig Fucio wih he Logarihmic Iegral Naha McKezie /26/2 aha@icecreambreafas.com Summary:This paper will show ha summig Lii's ideiy from 2 o ad arragig erms i a cerai

More information

Big O Notation for Time Complexity of Algorithms

Big O Notation for Time Complexity of Algorithms BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time

More information

Analysis of Dynamic Systems

Analysis of Dynamic Systems ME 43 Syem Dyamic & Corol Chaper 8: Time Domai Aalyi of Dyamic Syem Syem Chaper 8 Time-Domai Aalyi of Dyamic Syem 8. INTRODUCTION Pole a Zero of a Trafer Fucio A. Bazoue Pole: The pole of a rafer fucio

More information

ME 375 FINAL EXAM Friday, May 6, 2005

ME 375 FINAL EXAM Friday, May 6, 2005 ME 375 FINAL EXAM Friay, May 6, 005 Divisio: Kig 11:30 / Cuigham :30 (circle oe) Name: Istructios (1) This is a close book examiatio, but you are allowe three 8.5 11 crib sheets. () You have two hours

More information

SUMMATION OF INFINITE SERIES REVISITED

SUMMATION OF INFINITE SERIES REVISITED SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral

More information

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP)

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP) ENGG450 Probabiliy ad Saisics for Egieers Iroducio 3 Probabiliy 4 Probabiliy disribuios 5 Probabiliy Desiies Orgaizaio ad descripio of daa 6 Samplig disribuios 7 Ifereces cocerig a mea 8 Comparig wo reames

More information

Modified Ratio and Product Estimators for Estimating Population Mean in Two-Phase Sampling

Modified Ratio and Product Estimators for Estimating Population Mean in Two-Phase Sampling America Joural of Operaioal esearch 06, 6(3): 6-68 DOI: 0.593/j.ajor.060603.0 Moifie aio a Prouc Esimaors for Esimaig Populaio Mea i Two-Phase Samplig Subhash Kumar Yaav, Sa Gupa, S. S. Mishra 3,, Alok

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

Pure Math 30: Explained!

Pure Math 30: Explained! ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial

More information

ECE-314 Fall 2012 Review Questions

ECE-314 Fall 2012 Review Questions ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.

More information

Math 6710, Fall 2016 Final Exam Solutions

Math 6710, Fall 2016 Final Exam Solutions Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be

More information

ECE 350 Matlab-Based Project #3

ECE 350 Matlab-Based Project #3 ECE 350 Malab-Based Projec #3 Due Dae: Nov. 26, 2008 Read he aached Malab uorial ad read he help files abou fucio i, subs, sem, bar, sum, aa2. he wrie a sigle Malab M file o complee he followig ask for

More information

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly

More information

Clock Skew and Signal Representation. Program. Timing Engineering

Clock Skew and Signal Representation. Program. Timing Engineering lock Skew ad Sigal epreseaio h. 7 IBM Power 4 hip Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio Periodic sigals ca be represeed

More information

Linear Motion I Physics

Linear Motion I Physics Linear Moion I Physics Objecives Describe he ifference beween isplacemen an isance Unersan he relaionship beween isance, velociy, an ime Describe he ifference beween velociy an spee Be able o inerpre a

More information

Chapter 6 - Work and Energy

Chapter 6 - Work and Energy Caper 6 - Work ad Eergy Rosedo Pysics 1-B Eploraory Aciviy Usig your book or e iere aswer e ollowig quesios: How is work doe? Deie work, joule, eergy, poeial ad kieic eergy. How does e work doe o a objec

More information

King Fahd University of Petroleum & Minerals Computer Engineering g Dept

King Fahd University of Petroleum & Minerals Computer Engineering g Dept Kig Fahd Uiversiy of Peroleum & Mierals Compuer Egieerig g Dep COE 4 Daa ad Compuer Commuicaios erm Dr. shraf S. Hasa Mahmoud Rm -4 Ex. 74 Email: ashraf@kfupm.edu.sa 9/8/ Dr. shraf S. Hasa Mahmoud Lecure

More information

6.003: Signals and Systems Lecture 20 April 22, 2010

6.003: Signals and Systems Lecture 20 April 22, 2010 6.003: Sigals ad Sysems Lecure 0 April, 00 6.003: Sigals ad Sysems Relaios amog Fourier Represeaios Mid-erm Examiaio #3 Wedesday, April 8, 7:30-9:30pm. No reciaios o he day of he exam. Coverage: Lecures

More information

CHAPTER 2 Signals And Spectra

CHAPTER 2 Signals And Spectra CHAPER Signals And Specra Properies of Signals and Noise In communicaion sysems he received waveform is usually caegorized ino he desired par conaining he informaion, and he undesired par. he desired par

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

Structural Dynamics and Earthquake Engineering

Structural Dynamics and Earthquake Engineering Srucural Dynamics and Earhquae Engineering Course 1 Inroducion. Single degree of freedom sysems: Equaions of moion, problem saemen, soluion mehods. Course noes are available for download a hp://www.c.up.ro/users/aurelsraan/

More information

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad

More information

Today: Graphing. Note: I hope this joke will be funnier (or at least make you roll your eyes and say ugh ) after class. v (miles per hour ) Time

Today: Graphing. Note: I hope this joke will be funnier (or at least make you roll your eyes and say ugh ) after class. v (miles per hour ) Time +v Today: Graphing v (miles per hour ) 9 8 7 6 5 4 - - Time Noe: I hope his joke will be funnier (or a leas make you roll your eyes and say ugh ) afer class. Do yourself a favor! Prof Sarah s fail-safe

More information

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1) Fourier Series Iroducio I his secio we will sudy periodic sigals i ers o heir requecy is said o be periodic i coe Reid ha a sigal ( ) ( ) ( ) () or every, where is a uber Fro his deiiio i ollows ha ( )

More information

STUDY ON A METHOD TO IDENTIFY EXTERNAL FORCES AND DAMPING PARAMETERS OF STRUCTURE FROM RANDOM RESPONSE VALUES

STUDY ON A METHOD TO IDENTIFY EXTERNAL FORCES AND DAMPING PARAMETERS OF STRUCTURE FROM RANDOM RESPONSE VALUES STUDY ON A METHOD TO IDENTIFY ETERNAL FORCES AND DAMPING PARAMETERS OF STRUCTURE FROM RANDOM RESPONSE VALUES 114 M KANDA 1, E MARUTA, D INABA 3 And T MATSUYAMA 4 SUMMARY Proposed in his paper is a mehod

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio

More information

Comparing Means: t-tests for One Sample & Two Related Samples

Comparing Means: t-tests for One Sample & Two Related Samples Comparing Means: -Tess for One Sample & Two Relaed Samples Using he z-tes: Assumpions -Tess for One Sample & Two Relaed Samples The z-es (of a sample mean agains a populaion mean) is based on he assumpion

More information

KEY. Math 334 Midterm III Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

KEY. Math 334 Midterm III Fall 2008 sections 001 and 003 Instructor: Scott Glasgow KEY Mah 334 Miderm III Fall 28 secions and 3 Insrucor: Sco Glasgow Please do NOT wrie on his exam. No credi will be given for such work. Raher wrie in a blue book, or on your own paper, preferably engineering

More information

Dynamic h-index: the Hirsch index in function of time

Dynamic h-index: the Hirsch index in function of time Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260

More information

x(m) t(sec ) Homework #2. Ph 231 Introductory Physics, Sp-03 Page 1 of 4

x(m) t(sec ) Homework #2. Ph 231 Introductory Physics, Sp-03 Page 1 of 4 Homework #2. Ph 231 Inroducory Physics, Sp-03 Page 1 of 4 2-1A. A person walks 2 miles Eas (E) in 40 minues and hen back 1 mile Wes (W) in 20 minues. Wha are her average speed and average velociy (in ha

More information

MODERN CONTROL SYSTEMS

MODERN CONTROL SYSTEMS MODERN CONTROL SYSTEMS Lecure 9, Sae Space Repreeaio Emam Fahy Deparme of Elecrical ad Corol Egieerig email: emfmz@aa.edu hp://www.aa.edu/cv.php?dip_ui=346&er=6855 Trafer Fucio Limiaio TF = O/P I/P ZIC

More information

xp (X = x) = P (X = 1) = θ. Hence, the method of moments estimator of θ is

xp (X = x) = P (X = 1) = θ. Hence, the method of moments estimator of θ is Exercise 7 / page 356 Noe ha X i are ii from Beroulli(θ where 0 θ a Meho of momes: Sice here is oly oe parameer o be esimae we ee oly oe equaio where we equae he rs sample mome wih he rs populaio mome,

More information

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x) 1 Trasform Techiques h m m m m mome : E[ ] x f ( x) dx h m m m m ceral mome : E[( ) ] ( ) ( x) f ( x) dx A coveie wa of fidig he momes of a radom variable is he mome geeraig fucio (MGF). Oher rasform echiques

More information

Chapter 7: Solving Trig Equations

Chapter 7: Solving Trig Equations Haberman MTH Secion I: The Trigonomeric Funcions Chaper 7: Solving Trig Equaions Le s sar by solving a couple of equaions ha involve he sine funcion EXAMPLE a: Solve he equaion sin( ) The inverse funcions

More information

EE 435. Lecture 31. Absolute and Relative Accuracy DAC Design. The String DAC

EE 435. Lecture 31. Absolute and Relative Accuracy DAC Design. The String DAC EE 435 Lecure 3 Absolue and Relaive Accuracy DAC Design The Sring DAC . Review from las lecure. DFT Simulaion from Malab Quanizaion Noise DACs and ADCs generally quanize boh ampliude and ime If convering

More information

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12 Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)

More information

A Note on Random k-sat for Moderately Growing k

A Note on Random k-sat for Moderately Growing k A Noe o Radom k-sat for Moderaely Growig k Ju Liu LMIB ad School of Mahemaics ad Sysems Sciece, Beihag Uiversiy, Beijig, 100191, P.R. Chia juliu@smss.buaa.edu.c Zogsheg Gao LMIB ad School of Mahemaics

More information

Module 4: Time Response of discrete time systems Lecture Note 2

Module 4: Time Response of discrete time systems Lecture Note 2 Module 4: Time Response of discree ime sysems Lecure Noe 2 1 Prooype second order sysem The sudy of a second order sysem is imporan because many higher order sysem can be approimaed by a second order model

More information

Linear Time Invariant Systems

Linear Time Invariant Systems 1 Liear Time Ivaria Sysems Oulie We will show ha he oupu equals he covoluio bewee he ipu ad he ui impulse respose: sysem for a discree-ime, for a coiuous-ime sysdem, y x h y x h 2 Discree Time LTI Sysems

More information

Supplementary Information for Thermal Noises in an Aqueous Quadrupole Micro- and Nano-Trap

Supplementary Information for Thermal Noises in an Aqueous Quadrupole Micro- and Nano-Trap Supplemeary Iformaio for Thermal Noises i a Aqueous Quadrupole Micro- ad Nao-Trap Jae Hyu Park ad Predrag S. Krsić * Physics Divisio, Oak Ridge Naioal Laboraory, Oak Ridge, TN 3783 E-mail: krsicp@orl.gov

More information

EE 435. Lecture 35. Absolute and Relative Accuracy DAC Design. The String DAC

EE 435. Lecture 35. Absolute and Relative Accuracy DAC Design. The String DAC EE 435 Lecure 35 Absolue and Relaive Accuracy DAC Design The Sring DAC Makekup Lecures Rm 6 Sweeney 5:00 Rm 06 Coover 6:00 o 8:00 . Review from las lecure. Summary of ime and ampliude quanizaion assessmen

More information

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN 1223-7027 CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

PI3B V, 16-Bit to 32-Bit FET Mux/DeMux NanoSwitch. Features. Description. Pin Configuration. Block Diagram.

PI3B V, 16-Bit to 32-Bit FET Mux/DeMux NanoSwitch. Features. Description. Pin Configuration. Block Diagram. 33V, 6-Bi o 32-Bi FET Mux/DeMux NaoSwich Feaures -ohm Swich Coecio Bewee Two Pors Near-Zero Propagaio Delay Fas Swichig Speed: 4s (max) Ulra -Low Quiesce Power (02mA yp) Ideal for oebook applicaios Idusrial

More information

Transverse Vibrations of Elastic Thin Beam Resting on Variable Elastic Foundations and Subjected to Traveling Distributed Forces.

Transverse Vibrations of Elastic Thin Beam Resting on Variable Elastic Foundations and Subjected to Traveling Distributed Forces. Trasverse Vibraios of Elasic Thi Beam Resig o Variable Elasic Foudaios ad Subjeced o Travelig Disribued Forces. B. Omolofe ad S.N. Oguyebi * Deparme of Mahemaical Scieces, Federal Uiversiy of Techology,

More information

Modal identification of structures from roving input data by means of maximum likelihood estimation of the state space model

Modal identification of structures from roving input data by means of maximum likelihood estimation of the state space model Modal idenificaion of srucures from roving inpu daa by means of maximum likelihood esimaion of he sae space model J. Cara, J. Juan, E. Alarcón Absrac The usual way o perform a forced vibraion es is o fix

More information

MITPress NewMath.cls LAT E X Book Style Size: 7x9 September 27, :04am. Contents

MITPress NewMath.cls LAT E X Book Style Size: 7x9 September 27, :04am. Contents Coes 1 Temporal filers 1 1.1 Modelig sequeces 1 1.2 Temporal filers 3 1.2.1 Temporal Gaussia 5 1.2.2 Temporal derivaives 6 1.2.3 Spaioemporal Gabor filers 8 1.3 Velociy-ued filers 9 Bibliography 13 1

More information

6.003: Signals and Systems

6.003: Signals and Systems 6.003: Sigals ad Sysems Lecure 8 March 2, 2010 6.003: Sigals ad Sysems Mid-erm Examiaio #1 Tomorrow, Wedesday, March 3, 7:30-9:30pm. No reciaios omorrow. Coverage: Represeaios of CT ad DT Sysems Lecures

More information

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17 OLS bias for ecoomeric models wih errors-i-variables. The Lucas-criique Supplemeary oe o Lecure 7 RNy May 6, 03 Properies of OLS i RE models I Lecure 7 we discussed he followig example of a raioal expecaios

More information

Extended Laguerre Polynomials

Extended Laguerre Polynomials I J Coemp Mah Scieces, Vol 7, 1, o, 189 194 Exeded Laguerre Polyomials Ada Kha Naioal College of Busiess Admiisraio ad Ecoomics Gulberg-III, Lahore, Pakisa adakhaariq@gmailcom G M Habibullah Naioal College

More information

Vibration damping of the cantilever beam with the use of the parametric excitation

Vibration damping of the cantilever beam with the use of the parametric excitation The s Ieraioal Cogress o Soud ad Vibraio 3-7 Jul, 4, Beijig/Chia Vibraio dampig of he cailever beam wih he use of he parameric exciaio Jiří TŮMA, Pavel ŠURÁNE, Miroslav MAHDA VSB Techical Uiversi of Osrava

More information

3 General forced response

3 General forced response 3 General forced response So far, all of he driving forces have been sine or cosine exciaions In his chaper we examine he response o any form of exciaion such as Impulse Sums of sines and cosines Any inegrable

More information

Department of Mathematical and Statistical Sciences University of Alberta

Department of Mathematical and Statistical Sciences University of Alberta MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid

More information

EECS 723-Microwave Engineering

EECS 723-Microwave Engineering 1/22/2007 EES 723 iro 1/3 EES 723-Microwave Egieerig Teacher: Bar, do you eve kow your muliplicaio ables? Bar: Well, I kow of hem. ike Bar ad his muliplicaio ables, may elecrical egieers kow of he coceps

More information

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still. Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

14.02 Principles of Macroeconomics Fall 2005

14.02 Principles of Macroeconomics Fall 2005 14.02 Priciples of Macroecoomics Fall 2005 Quiz 2 Tuesday, November 8, 2005 7:30 PM 9 PM Please, aswer he followig quesios. Wrie your aswers direcly o he quiz. You ca achieve a oal of 100 pois. There are

More information

Chapter 4 The Fourier Series and Fourier Transform

Chapter 4 The Fourier Series and Fourier Transform Represenaion of Signals in Terms of Frequency Componens Chaper 4 The Fourier Series and Fourier Transform Consider he CT signal defined by x () = Acos( ω + θ ), = The frequencies `presen in he signal are

More information

A Method for Determining the Effects of Overpressure from Small/Medium Weapons Fire Abstract August 2011

A Method for Determining the Effects of Overpressure from Small/Medium Weapons Fire Abstract August 2011 Small Arms Air Plaform Inegraion A Meho for Deermining he Effecs of Overpressure from Small/Meium Weapons Fire Absrac 11838 30 Augus 2011 Seven L. Backer Crane Division, Naval Surface Warfare Cener (NSWC

More information

Single Degree of Freedom System Free Vibration

Single Degree of Freedom System Free Vibration Maa Kliah : Diamika Srkr & Pegaar Rekayasa Kegempaa Kode : TSP 30 SKS : 3 SKS Sigle Degree of Freedom Sysem Free Vibraio Perema - TIU : Mahasisa dapa mejelaska eag eori diamika srkr. Mahasisa dapa memba

More information

Cumulative Damage Evaluation based on Energy Balance Equation

Cumulative Damage Evaluation based on Energy Balance Equation Cumulaive Damage Evaluaion based on Energy Balance Equaion K. Minagawa Saiama Insiue of Technology, Saiama S. Fujia Tokyo Denki Universiy, Tokyo! SUMMARY: This paper describes an evaluaion mehod for cumulaive

More information

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation. ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio

More information

Homework 2 Solutions

Homework 2 Solutions Mah 308 Differenial Equaions Fall 2002 & 2. See he las page. Hoework 2 Soluions 3a). Newon s secon law of oion says ha a = F, an we know a =, so we have = F. One par of he force is graviy, g. However,

More information

Single Degree of Freedom System Free Vibration

Single Degree of Freedom System Free Vibration Iegriy, Professioalism, & Erepreership Maa Kliah : Diamika Srkr & Pegaar Rekayasa Kegempaa Kode : CIV 308 SKS : 3 SKS Sigle Degree of Freedom Sysem Free Vibraio Perema - Iegriy, Professioalism, & Erepreership

More information

INVESTMENT PROJECT EFFICIENCY EVALUATION

INVESTMENT PROJECT EFFICIENCY EVALUATION 368 Miljeko Crjac Domiika Crjac INVESTMENT PROJECT EFFICIENCY EVALUATION Miljeko Crjac Professor Faculy of Ecoomics Drsc Domiika Crjac Faculy of Elecrical Egieerig Osijek Summary Fiacial efficiecy of ivesme

More information