Application of an Innovative Precise Integration Method in Solving Equilibrium Equations of Motion for Structural Dynamic Problems

Size: px
Start display at page:

Download "Application of an Innovative Precise Integration Method in Solving Equilibrium Equations of Motion for Structural Dynamic Problems"

Transcription

1 Applicatio of a Iovative Precise Itegratio Method i Solvig Equilibrium Equatios of Motio for Structural Dyamic Problems Chiu-li Wu Natioal Ceter for Research o Earthquake Egieerig,Taipei City, Taiwa Chig-Chiag Chuag Departmet of Civil Egieerig, Chug Yua Christia Uiversity, Chugli City, Taiwa SUMMARY: A very popular approach to coduct structural dyamic respose aalysis is to first formulate its dyamic equilibrium equatios of motio, ad the employ a step-by-step time itegratio scheme to solve the equatios such that dyamic equilibrium is satisfied at discretized time istats. The selectio of time step size depeds o the features of the time itegratio approach, ad should cosider its umerical stability, desired accuracy, predomiat frequecies of the aalyzed structure as well as the major characteristics of the eteral loadigs. I case of high domiat structural frequecies or dramatic loadig variatios, a sufficietly small time step is usually required to achieve satisfactory umerical accuracy. The authors studied two major cases of employig both force ad mometum equatios of motio together with a so-called Precise Itegratio Method to solve for dyamic structural respose. Compared with most of the covetioal umerical itegratio methods i the literature, the proposed method is foud less isesitive to the selectio of time step size i case of impulsive loadig ad is able to provide superior umerical stability ad accuracy. This study also ivestigates the advatage i the use of a oliear polyomial fuctio i describig the variatio of loadig mometum withi a itegratio time step, which further helps loose the costrait of time step size required for better accuracy. Keywords: precise itegratio, umerical stability, accuracy, high-frequecy dissipatio, spurious resoace 1. INTRODUCTION It is well kow that mechaical goverig equatios describig dyamic egieerig problems basically take the form of partial differetial equatios. To solve the equatios, most umerical solutio methods (e.g., fiite elemet method, fiite differece method, etc.) start with a set of simultaeous ordiary differetial equatios (ODE) through discretized spatial coordiate, ad employ a direct itegratio method to obtai the fial solutio. I the field of structural dyamics, for istace, the origial Newmark s, Wilso-θ, ad Houbolt methods are very popular methods that ca be categorized as implicit methods; o the other had, the modified Newmark s ad cetral differece methods belogs to the group of eplicit methods. I either way, the time step size should be carefully selected i itegratio to esure umerical stability as well as accuracy. Takig eplicit methods for eample, the selectio of the time step size is more rigorous ad usually depeds o the highest domiat frequecy of the structural system beig aalyzed. Such a small time step is usually set to satisfy the requiremet of umerical stability with a tradeoff of icreasig computatioal efforts. I additio, the calculated fudametal periods ad vibratio modes highly deped o the selected structural model that is used to describe a real structural system. I some cases, the higher vibratio modes may ot represet the real respose of the origial structural system, ad will reduce the computatioal accuracy, ad ievitably affect the cofidece i iterpretig umerical results obtaied. As such, it is a commo cocer of may researchers how to develop a reliable itegratio algorithm for solvig simultaeous ODEs ad havig the capability of dissipatig fictitious high frequecy respose at the same time. Subbaraj ad Dokaiish (1989) preseted a thorough review o direct time itegratio methods developed before Oe ca also refer to Hughes (1987) for a umber of popular itegratio

2 methods i the literature. I additio to fiite differece methods, there are other schemes usig fiite elemet cocept to solve time itegratio problems, e.g., time-discotiuous Galerki method, which is capable of doig itegratio i oe sigle time step with self-startig iitial guess, ad provides higher accuracy ad better umerical stability through dissipative itegratio scheme elimiatig high frequecy oise (Chie et al., 003). I order to solve simultaeous ODEs i a more efficiet maer, Zhog ad Williams (1994) proposed the High Precisio Direct-L (HPD-L) method, which epressed the aalytical homogeeous solutio of the simultaeous ODEs i a fourth order Taylor series epasio to be itegrated usig the famous power-of-two algorithm, ad i the meatime the eteral loadig force was represeted by a segmeted piecewise-liear force history, i which the time step size was maily determied by the degree of oliearity of the eteral force history, while the ifluece of the atural periods of the aalyzed structure o solutio accuracy was foud isigificat. Li et al. (1995) ad She et al. (1995) adopted the same cocept with the loadig force history represeted i the form of the famous Fourier series epasio ad this approach was usually referred to as High Precisio Direct-F (HPD-F) method i the literature, which oftetimes was implemeted through parallel computig techiques to solve dyamic structural problems. Zhog et al. (1996) proposed a so-called Subdomai Precise Time Itegratio Method, which icorporated computatioal efficiecy of the fiite differece method to solve both liear ad oliear dyamic problems. Etedig from Tsai ad Chuag (00) that employed the Precise Direct Itegratio Method (Zhog ad Williams, 1994) i combiatio with umerical kietic dampig to solve static structural problems, this paper adopts Rayleigh dampig as a favorable modificatio for dissipatig spurious high frequecy resposes that oftetimes results from umerical modelig error rather tha real structural behavior. The theoretical backgroud of the Precise Itegratio Method as well as its implemetatio will be itroduced i the followig, ad its umerical stability ad accuracy are thoroughly discussed.. PRECISE INTEGRATION METHOD FOR SOLVING LINEAR DYNAMICS.1. Force equilibrium equatio of motio If we assume that &&, & ad are acceleratio, velocity ad displacemet vectors, respectively, the most structural dyamic problems of egieerig iterest, after spatial discretizatio, ca be epressed i the followig secod order differetial equatio of motio: M && + C& + K = F (.1) i which, M is the system mass matri; C is the system dampig matri; K is the system stiffess matri; F is the eteral force or iput vector applied to the system. Provided that iitial coditios 0 ad & 0 are kow vectors, the goverig equatio ca be rearraged i the followig mathematical form: v=av+ef & c c (.) i which, v = & 0 Ι Ac = Μ Κ -Μ C 0 Ec = -1 M (.3) (.4) (.5)

3 v is the state vector; A c is the time-idepedet system matri; E c is the iput distributio matri which is time-idepedet i this study; F is the eteral force (or iput) vector; I is the idetity matri or uit matri. The solutio ca be obtaied by solvig Eq. (.) with iitial coditios ad epressed as: () A ct A ct t A cs ( ) v t = e v0 + e e E 0 cf s ds (.6) The discrete form of Eq. (.6) ca be epressed as the followig form if the eteral force F is liearly iterpolated betwee two cosecutive time istats: v+1 = Tv + E0F + E1F +1 (.7) 1 1 E0 = Ac T + Ac ( I T ) Ec (.8) E1 = Ac + Ac ( T I) E c (.9) O the other had, a arbitrarily degree of oliear polyomial fuctio ca be used as well; thus, the above epressios for E 0 ad E 1 will take a differet form should the forcig fuctio be oliearly iterpolated betwee two cosecutive time istats. c/ m m c ( ) ( ) A Δ m c t A A T = e = e = e τ (.10) N i which τ = / m. If m is selected as a iteger power of (i.e., m = ) ad a fairly large N value is used (e.g., N = 0 ), the τ = / m will be etremely small such that trucatio error from higher order terms of Taylor series approimatio becomes egligible. With a very small τ, the A epoetial term e τ c ca be approimated by the higher order Taylor series epasio with satisfactory precisio, takig the fourth order epasio for a eample: ( ) ( ) ( ) 3 4 A e τ c I + Aτ + Aτ /! + Aτ /3! + Aτ /4! = I + T a c c c c (.11) It is oted that the elemets i the additioal matri T a are very small as compared to the idetity matri I. Substitutio of Eq. (.11) back ito Eq. (.10) gives: N ( ) ( ) ( ) ( N 1) ( ) ( N m I + T = I + T = I + T I + T 1) T = (.1) a a a I Eq. (.1), there are N matri multiplicatios of the (I+T a ) term, which ca be epaded ito: ( + ) ( + ) = + + I T I T I T T (.13) a a a a Whe the epoetial matri T is umerically obtaied through computer computatios, Eq. (.13) shall repeatedly multiply itself N times ad this ca be readily accomplished by a do loop computer routie. I such a routie, the umerical result of T a + T a is stored back ito the additioal matri T a each time, ad T a must be stored separately from the idetity matri I durig the computatios for better umerical accuracy istead of beig directly added to the idetity matri I; otherwise, the loss of umerical accuracy will be sigificat due to roud-off errors. This is because the elemets i additioal matri T a are very small as compared to the idetity matri I. After N matri multiplicatios, a

4 the elemets i T a are o loger small umbers such that the additio of T a ad the idetity matri I will have o serious umerical roud-off error. The algorithm give above is called the precise computatio of the epoetial matri as the separate storage of I ad T a durig the computatio process ca ehace the resultig umerical accuracy... Mometum equilibrium equatio of motio If the system M, C ad K remai costat over the time iterval of itegratio, itegratig the force equatio of motio Eq. (.1) with respect to time leads to: M w& + Cw& + Kw = J (.14) i which, w & = & dt ; w & = & dt ; w = dt ; J represets the time itegral of eteral force or the eteral mometum vector durig the time iterval 0 τ t. Eq. (.1) ca be epressed i state space form as follows: w& 0 = w&& M 1 K I M 1 w C w& M J (.15) Eq (.13) ca be solved usig the Precise Itegratio Method with eactly the same procedure previously metioed. 3. NUMERICAL STABILITY AND ACCURACY The Precise Itegratio Method eeds to first assume a N value i order to calculate the amplificatio matri; thus, its umerical stability depeds o the N value used for aalysis. Fig. 3.1(a) shows the relatios betwee spectral radius ρ ad /T usig the fourth-order Taylor series approimatio i case of a udamped SDoF oscillator uder free vibratio. A algorithm is cosidered as stable if the umerical solutio for free vibratio will ot grow without boud for ay arbitrary iitial coditios (i.e., spectral radius ρ 1.) It ca be see that whe the N value icreases, the rage of /T for maitaiig umerical stability becomes wider. Wheever umerical stability is satisfied, the values of spectral radius are mostly close to 1. O the other had, the umerical accuracy of a itegratio method ca be evaluated by its relative period error ( T T)/ T ad fictitious decay of vibratio amplitude. The latter ca be represeted by the so-called algorithmic dampig ratio ξ. The ifluece of both factors depeds o the umerical accuracy of eigevalues calculated from the amplificatio matri of the structural model. Assume the calculated eigevalues of the amplificatio matri for a udamped SDoF oscillator are: ( cosω ± i siω ) ξ ω λ 1,= a ± i b = e (3.1) i which, i = 1, ad b 0 ; Eq. (3.1) also implies: 1 ta ( b a) ( a > 0) 1 ta ( b a) + π ( a < 0) ( a + b ) Δ ω = (3.) l ξ = ω The relative period error is defied as t (3.3)

5 T T T ω ω = 1 = 1 ω ω (3.4) i which, T is the atural period of the structural model; T is the umerical period obtaied from the Precise Itegratio Method; ω is the circular atural frequecy; ω is the circular umerical frequecy obtaied from the Precise Itegratio Method. (a) (b) Figure 3.1. Relatios of spectral radius ρ vs. /T (left) ad ξ vs. /T (right) usig the fourth-order Taylor series approimatio i the Precise Itegratio Method. Figure 3.. Relatio betwee ( T T )/ T ad /T usig the fourth-order Taylor series approimatio i the Precise Itegratio Method. Fig. 3.1(b) shows the relatio betwee algorithmic dampig ratio ξ ad /T correspodig to differet N values uder the fourth-order Taylor series approimatio i case of a udamped SDoF oscillator uder free vibratio. It ca be see from Fig. 3.1(b) that whe N icreases, the algorithmic dampig ratio decreases. Whe N 4, ξ is approimately zero for /T=0~0.5. Fig. 3. shows the relatio betwee the relative period error ( T T)/ T ad /T correspodig to differet N values uder the fourth-order Taylor series approimatio. It ca be see from Fig. 3. that whe N icreases, the relative period error decreases substatially; whe N 1, the relative period error is approimately zero for /T=0~0.5. It should be oted that N=0 correspods to the ordiary itegratio algorithm

6 usig Taylor series epasio itegrated i oe sigle time step, which yields miimal algorithmic dampig ratio ad relative period error oly for /T 0.1 whe the fourth-order Taylor series approimatio is used. It ca be cocluded that the Precise Itegratio Method yields respose results with higher accuracy tha the ordiary itegratio methods if the same time step size is take i the aalyses. I the followig discussios, we will fid that the combiatio of N=0 ad the fourth-order Taylor series approimatio as origially suggested by Zhog et al. (1996) provides a ecellet match with its aalytical couterpart. 4. INCORPORATION OF SPURIOUS HIGH-FREQUENCY DISSIPATING CAPABILITY It is well recogized that the accuracy of atural period ad mode shape estimates largely depeds o the aalytical model used for dyamic respose aalyses; however, eve the best estimates of atural periods ad mode shapes obtaied from a sophisticated structural model may be still slightly deviated from its real life couterpart. As such, oftetimes a umerical model ca oly well represet the first few vibratio modes of the real structure but has larger relative period errors i higher modes; the high frequecy resposes from a umerical model are most likely spurious, ad more or less reduce the accuracy of umerical respose aalyses. Besides, the spurious high frequecy resposes may cause umerical istability. As the spurious high frequecy respose is udesirable ad better be removed, a modificatio is proposed here to eable the Precise Itegratio Method to get rid of the ifluece from fictitious high frequecy respose, ad keeps oly the most trustworthy respose from the first few predomiat modes. To reach this goal, a additioal dampig coefficiet matri C a that is liearly proportioal to system stiffess matri K ad time step size is icorporated ito the Precise Itegratio Method as follows: C = C + Ca = C + α K (4.1) i which, C is the modified system dampig coefficiet matri; C is the origial system dampig coefficiet matri; α is the dampig modificatio factor. A appropriate value is specified for dampig modificatio factor α to dissipate udesirable spurious high frequecy respose. The eigevalues of the amplificatio matri for a SDoF system after icorporatig umerical dampig ca be epressed as follows: ep -ξ ω ± iω λ = 1, ep ξ ω ± ω 1 ξ ξ 1 if 0 ξ < 1 if ξ 1 (4.) (4.3) i which ξ 1 idicates that the origial SDoF system has bee chaged to become critically or overly damped by the additioal umerical dampig, ad therefore o loger represets a vibratory system. Please ote that this mistake is ot acceptable ad should be avoided. The modified system dampig ratio after icorporatig Eq. (4.1) thus takes the followig form: C + α K ξ = = ξ + απ Mω T (4.4) Recall that spectral radius ρ = ma( λ, λ 1 ). If we further assume the SDoF system is free of dampig (i.e., ξ = 0) for simplicity, the substitutio of Eq. (4.4) ito Eqs. (4.) ad (4.3) will yield the followig:

7 l ρ ( ω ) α = l ρ 1+ ω l ρ if 0 ξ < 1 if ξ 1 (4.5) (4.6) Fig. 4.1(a) takes a udamped SDoF oscillator uder free vibratio as a eample, ad shows the relatio betwee spectral radius ad /T correspodig to differet α values. Sice the combiatio of N=0 ad the fourth-order Taylor series approimatio as origially suggested by Zhog et al. (1996) provides a good match with the aalytical eact solutio from Eqs. (4.5)-(4.6), oly the umerical results are plotted i Fig. 4.1 for better graphical readability. If the cut-off frequecy for suitable umerical dissipatio ad time step size are both decided, the a appropriate α value ca be readily determied usig Eq. (4.5) or Fig. 4.1(a) to help filter out fictitious high frequecy respose. The α value ca be the fed back ito the modified system matri A c to dissipate udesirable high frequecy resposes. Fig. 4.1(a) suggests that a larger time step would pair with a smaller dampig modificatio factor α while a smaller time step would pair with a larger α value i order to have the same spurious high frequecy dissipatio effects. A much smaller α value tha Eq. (4.5) or Fig. 4.1(a) suggests may lead to isufficiet dissipatio capacity, while a much larger α value may overly damp out trustworthy low frequecy respose from the first few predomiat vibratio modes. The dashed portio of the curves i Fig. 4.1(a) represets ξ 1 ad will erroeously trasform a SDoF oscillator (i.e., uder-damped) ito a o-vibratory system (i.e., critically or overly damped) ad therefore should ot be used. (a) (b) Figure 4.1. Relatios of spectral radius ρ vs. /T (left) ad ( T T )/ T vs. /T (right) usig the fourth-order Taylor series approimatio ad N=0 i the Precise Itegratio Method. The relatio betwee the relative period error ad /T uder differet α values ca be show as Fig. 4.1(b). The curves i Fig. 4.1(b) also agree eceptioally well with the aalytical results calculated from Eq. (3.4). As such, oly the umerical results are plotted i Fig. 4.1(b) for better graphical readability. Fig. 4.1(b) suggests that whe α value icreases, relative period error also icreases. It is therefore suggested that be as large as possible (a larger will ot sigificatly affect the period error too much due to the superior performace from the power-of-two algorithm ad the fourth-order Taylor approimatio ad ca help alleviate computatioal effort) ad the select a suitable α value to dissipate fictitious respose as log as umerical stability ad accuracy requiremet (usually, /T 0.1) are both satisfied. Ultimately, if the values of α ad Δ t are carefully selected, the spurious high frequecy respose from modelig error ca be successfully filtered out, ad accurate respose predictio from the first few predomiat modes ca be assured. The ecellet match betwee umerical results ad eact solutios i Fig. 4.1 facilitates a equatio-based predictio of

8 resultig umerical characteristics whe a combiatio of N=0 ad the fourth-order Taylor series approimatio is employed i the Precise Itegratio Method. The required computatioal effort of a umerical approach is always a major cocer of its users. I case of DOFs = 1000, a 17.4% icrease i computatioal time is observed if N value icreases from 0 to 0, while the computatioal time grows epoetially with the umber of degrees of freedom due to the state space approach employed. I passig, it is metioed that the additioal computatioal effort iduced by the power-of-two algorithm is margial cosiderig the sigificat improvemet i umerical accuracy. 5. ISSUE OF SPURIOUS RESONANCE UNDER FORCED VIBRATIONS The computatioal performace of a time itegratio method for solvig liear dyamics problems is usually evaluated with referece to its capability i accurately obtaiig the homogeeous part of the solutio ad umerical stability; however, the ifluece of eteral loadig has ot bee studied as widely, ad usually limited to the ivestigatio of local trucatio error. Caillo ad Macuso (000, 00) performed accuracy aalysis o time itegratio methods for classically damped MDoF liear dyamic oscillatig systems usig the trasfer fuctio that is epressed i terms of a amplificatio matri ad a loadig vector uder the assumptio of statioary disturbace. The MDoF oscillatig system usually ca be decomposed ito a group of SDoF oscillators usig modal decompositio if a classical dampig is assumed. Whe compared with the eact trasfer fuctio, umerical accuracy ad spurious resoace resulted from a time itegratio method due to the ifluece of the eteral loadig ca be the evaluated. As a statioary eteral ecitatio ca always be represeted by a superpositio of siusoidal waveforms usig epoetial Fourier series, the trasfer fuctio of a viscously damped liear SDoF oscillatig system betwee a statioary acceleratio ecitatio f ( t) = ep( i Ωt) ad the resulted system displacemet respose ca be the aalytically epressed i the followig form accordig to radom vibratio theory: H 1 = (5.1) ω Ω + iξω Ω O the other had, all umerical time itegratio methods have their ow umerically resulted trasfer fuctios that may deviate from the eact form of Eq. (5.1). If we assume the relatio betwee the eteral loadig ad the respose vector cotaiig displacemet ad velocity at a particular time istat t is of the followig vector form: H = e & H ( iω) & (5.) H ad H & correspod to the trasfer fuctios for displacemet ad velocity respose of the SDoF structural system, respectively. If we substitute Eq. (5.) ito Eq. (.7), the followig epressio for trasfer fuctio is the obtaied from the eplicit recursive equatio of the Precise Itegratio Method: i Ω 1 [ e I T ] [ ] H 1 = E 0 E 1 i H & e Ω (5.3) Eq. (5.3) ca be employed to calculate the trasfer fuctios for the Precise Itegratio Method. Similarly, both the trasfer fuctios resulted from the origial Newmark s ad the cetral differece methods ca be obtaied followig the same procedure. If the forcig-to-system frequecy ratio ν is defied as the eteral harmoic ecitatio frequecy Ω divided by the system frequecy ω, the the orm of the umerical trasfer fuctio ormalized with respect to that of the eact trasfer fuctio

9 deoted by H / H ca be employed to evaluate umerical accuracy ad spurious resoace for umerical itegratio methods. It should be oted that i case of H / H = 1, the umerical time itegratio method yields perfectly accurate result as the aalytical eact solutio. Fig. 5.1 compares umerical accuracy ad spurious resoace of several itegratio methods, icludig the Precise Itegratio Method, Newmark s method ad the cetral differece method, withi 0 ν. 5 by assumig a udamped SDoF system of a atural circular frequecy ω = rad/sec (i.e., atural period T = 3.14sec). All three methods use a time step Δ t =0.314sec =0.1T. The parameters γ = 0.5 ad β = 0.5 are assumed i the origial Newmarks method, correspodig to the average acceleratio method. Whe the forcig-to-system frequecy ratio ν is much smaller tha 1 (i particular, smaller tha 0.7), all three itegratio methods yield respose fairly close to the eact solutio; however, both the cetral differece ad the origial Newmark s (average acceleratio) methods show ufavorable spurious resoace with abrupt vertical spikes whe the forcig-to-system frequecy ratio ν is i the viciity of 1. Whe the forcig-to-system frequecy ratio ν is larger tha the value causig spurious resoace i the cetral differece ad the origial Newmark s methods, the umerical-to-eact trasfer fuctio ratio starts to deviate away from 1. For larger time step sizes tested i this study, the spurious resoace problem becomes catastrophically worse, ad ca result i a large half-power badwidth at spurious resoace such that the resultig umerical accuracy substatially degrades ad becomes uacceptable. The accuracy of the Precise Itegratio Method also degrades if a ecessively large time step is take (e.g., Δ t >0.3T). Fig. 5.(a) plots the umerical accuracy of the Precise Itegratio Method with the forcig fuctio liearly iterpolated withi a itegratio time step. The curves show cover a good spectrum of Δ t /T values (1/100, 1/40, 1/0, ad 1/10), correspodig to ω = 0., 0.5, 1, ad rad/sec. The parametric study idicates that although spurious resoace does ot eist i the Precise Itegratio Method, its overall umerical accuracy degrades whe the structural ad/or forcig frequecy grows higher. Fig. 5.(b) reports the advatage of employig a secod-degree polyomial i describig the variatio of loadig mometum withi itegratio time steps, which shows substatially improved accuracy. Numerical eample study shows that the use of oliear polyomials ca further loose the costrait of time step size selectio but still keeps the desired level of umerical accuracy at the same time. Figure 5.1. H / H vs. ν relatios obtaied from the cetral differece, the origial Newmark s ad the Precise Itegratio Methods (ξ = 0, =0.314sec= 0.1T). 7. CONCLUSIONS A eplicit time itegratio method capable of dissipatig spurious high frequecy resposes is proposed i the study, which is a modified versio of the origial Precise Itegratio Method. From umerical stability ad accuracy aalyses, it is foud that whe the N value reaches a certai threshold (e.g., N 0) ad the fourth-order Taylor series approimatio is employed, the Precise Itegratio Method becomes almost ucoditioally stable over a wide rage of frequecies ad its accuracy is

10 better tha most commoly used itegratio methods i the egieerig commuity. The power-of-two algorithm ad Taylor series epasio are both well kow mathematical cocept i tetbooks, so the authors trust that its ed users will be able to get familiar with the approach more easily compared with other state-of-the-art methods havig bee proposed i the literature, while the Precise Itegratio Method still provides competitively ecellet umerical stability ad accuracy. The et missio of the study i the ear future is to take a step further to ivestigate the possibility of etedig to materially oliear systems ad carefully evaluate its umerical performace. (a) (b) Figure 5.. H / H vs. ν relatios obtaied from force (left) ad mometum (right) equilibrium of the Precise Itegratio Method uder various structural atural frequecies (=0.314sec, ω =1~5 rad/sec). AKCNOWLEDGEMENT The study reported here was fuded i part by the Natioal Sciece Coucil of Taiwa uder grat umber NSC95-1-E This fiacial support is gratefully ackowledged. All opiios epressed i this paper are solely those of the authors ad do ot ecessarily represet the views of the sposor. REFERENCES Caillo, V. ad Macuso, M. (00). Spurious resoaces i umerical time itegratio methods for liear dyamics. J. of Soud ad Vibratio 38: 3, Caillo, V. ad Macuso, M. (00). O the behavior of dissipative time itegratio methods ear the resoace coditio. J. of Soud ad Vibratio 49: 3, Chie, C.C., Che, Y.H., Chuag C.C. (003). Dual reciprocity BEM aalysis of -D trasiet elastodyamic problems by time-discotiuous Galerki FEM, Egieerig Aalysis with Boudary Elemets, 7, Hughes, T.J.R. (1987). The fiite elemet method: liear static ad dyamic fiite elemet aalysis, Pretice-Hall, Eglewood Cliffs, NJ. Li, J., She, W., Williams, F.W. (1995). A high precisio direct itegratio scheme for structures subjected to trasiet dyamic loadig, Comput Struct 56, She, W., Li, J., Williams, F.W. (1995). Parallel computig for high precisio direct itegratio method. Comput Meth Appl Mech Egrg 16, Subbaraj, K. ad Dokaiish, M.A. (1989). A survey of direct time-itegratio method i computatioal structural dyamic - Ι. Eplicit methods, Comput Struct 3, Subbaraj, K. ad Dokaiish, M.A. (1989). A survey of direct time-itegratio method i computatioal structural dyamic - II. Implicit methods, Comput Struct 3, Tsai, M.C. ad Chuag, C.C. (00). A applicatio of precisio itegratio method i structure static ad dyamic problems, i: Proceedigs of 6th Natioal Coferece o Structural Egieerig, Taiwa, Paper No. F19 (i Chiese.) Zhog, W.X. ad Williams, F.W. (1994). A precise time step itegratio method. Proceedigs of the Istitutio of Mechaical Egieers. 08: Zhog, W.X., Zhu, J., Zhog, X.X. (1996). O a ew time itegratio method for solvig time depedet partial differetial equatios. Comput Meth Appl Mech Egrg 130,

FREE VIBRATION RESPONSE OF A SYSTEM WITH COULOMB DAMPING

FREE VIBRATION RESPONSE OF A SYSTEM WITH COULOMB DAMPING Mechaical Vibratios FREE VIBRATION RESPONSE OF A SYSTEM WITH COULOMB DAMPING A commo dampig mechaism occurrig i machies is caused by slidig frictio or dry frictio ad is called Coulomb dampig. Coulomb dampig

More information

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter Time Respose & Frequecy Respose d -Order Dyamic System -Pole, Low-Pass, Active Filter R 4 R 7 C 5 e i R 1 C R 3 - + R 6 - + e out Assigmet: Perform a Complete Dyamic System Ivestigatio of the Two-Pole,

More information

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series Applied Mathematical Scieces, Vol. 7, 03, o. 6, 3-337 HIKARI Ltd, www.m-hikari.com http://d.doi.org/0.988/ams.03.3430 Compariso Study of Series Approimatio ad Covergece betwee Chebyshev ad Legedre Series

More information

2C09 Design for seismic and climate changes

2C09 Design for seismic and climate changes 2C09 Desig for seismic ad climate chages Lecture 02: Dyamic respose of sigle-degree-of-freedom systems I Daiel Grecea, Politehica Uiversity of Timisoara 10/03/2014 Europea Erasmus Mudus Master Course Sustaiable

More information

Chapter 9: Numerical Differentiation

Chapter 9: Numerical Differentiation 178 Chapter 9: Numerical Differetiatio Numerical Differetiatio Formulatio of equatios for physical problems ofte ivolve derivatives (rate-of-chage quatities, such as velocity ad acceleratio). Numerical

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

More information

Castiel, Supernatural, Season 6, Episode 18

Castiel, Supernatural, Season 6, Episode 18 13 Differetial Equatios the aswer to your questio ca best be epressed as a series of partial differetial equatios... Castiel, Superatural, Seaso 6, Episode 18 A differetial equatio is a mathematical equatio

More information

DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS

DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS Ivaa Štimac 1, Ivica Kožar 1 M.Sc,Assistat, Ph.D. Professor 1, Faculty of Civil Egieerig, Uiverity of Rieka, Croatia INTRODUCTION The vehicle-iduced

More information

Numerical Methods in Fourier Series Applications

Numerical Methods in Fourier Series Applications Numerical Methods i Fourier Series Applicatios Recall that the basic relatios i usig the Trigoometric Fourier Series represetatio were give by f ( x) a o ( a x cos b x si ) () where the Fourier coefficiets

More information

Notes on iteration and Newton s method. Iteration

Notes on iteration and Newton s method. Iteration Notes o iteratio ad Newto s method Iteratio Iteratio meas doig somethig over ad over. I our cotet, a iteratio is a sequece of umbers, vectors, fuctios, etc. geerated by a iteratio rule of the type 1 f

More information

Principle Of Superposition

Principle Of Superposition ecture 5: PREIMINRY CONCEP O RUCUR NYI Priciple Of uperpositio Mathematically, the priciple of superpositio is stated as ( a ) G( a ) G( ) G a a or for a liear structural system, the respose at a give

More information

CALCULATION OF STIFFNESS AND MASS ORTHOGONAL VECTORS

CALCULATION OF STIFFNESS AND MASS ORTHOGONAL VECTORS 14. CALCULATION OF STIFFNESS AND MASS ORTHOGONAL VECTORS LDR Vectors are Always More Accurate tha Usig the Exact Eigevectors i a Mode Superpositio Aalysis 14.1 INTRODUCTION The major reaso to calculate

More information

Stopping oscillations of a simple harmonic oscillator using an impulse force

Stopping oscillations of a simple harmonic oscillator using an impulse force It. J. Adv. Appl. Math. ad Mech. 5() (207) 6 (ISSN: 2347-2529) IJAAMM Joural homepage: www.ijaamm.com Iteratioal Joural of Advaces i Applied Mathematics ad Mechaics Stoppig oscillatios of a simple harmoic

More information

2C09 Design for seismic and climate changes

2C09 Design for seismic and climate changes C9 Desig for seismic ad climate chages Lecture 3: Dyamic respose of sigle-degree-of-freedom systems II Daiel Grecea, Politehica Uiversity of Timisoara 11/3/14 Europea Erasmus Mudus Master Course Sustaiable

More information

x x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0,

x x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0, Math Activity 9( Due with Fial Eam) Usig first ad secod Taylor polyomials with remaider, show that for, 8 Usig a secod Taylor polyomial with remaider, fid the best costat C so that for, C 9 The th Derivative

More information

EXPERIMENT OF SIMPLE VIBRATION

EXPERIMENT OF SIMPLE VIBRATION EXPERIMENT OF SIMPLE VIBRATION. PURPOSE The purpose of the experimet is to show free vibratio ad damped vibratio o a system havig oe degree of freedom ad to ivestigate the relatioship betwee the basic

More information

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS.

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS. ICSV4 Cairs Australia 9- July 7 DTRMINATION OF MCHANICAL PROPRTIS OF A NON- UNIFORM BAM USING TH MASURMNT OF TH XCITD LONGITUDINAL LASTIC VIBRATIONS Pavel Aokhi ad Vladimir Gordo Departmet of the mathematics

More information

POWER SERIES SOLUTION OF FIRST ORDER MATRIX DIFFERENTIAL EQUATIONS

POWER SERIES SOLUTION OF FIRST ORDER MATRIX DIFFERENTIAL EQUATIONS Joural of Applied Mathematics ad Computatioal Mechaics 4 3(3) 3-8 POWER SERIES SOLUION OF FIRS ORDER MARIX DIFFERENIAL EQUAIONS Staisław Kukla Izabela Zamorska Istitute of Mathematics Czestochowa Uiversity

More information

Chapter 2 The Solution of Numerical Algebraic and Transcendental Equations

Chapter 2 The Solution of Numerical Algebraic and Transcendental Equations Chapter The Solutio of Numerical Algebraic ad Trascedetal Equatios Itroductio I this chapter we shall discuss some umerical methods for solvig algebraic ad trascedetal equatios. The equatio f( is said

More information

Orthogonal Gaussian Filters for Signal Processing

Orthogonal Gaussian Filters for Signal Processing Orthogoal Gaussia Filters for Sigal Processig Mark Mackezie ad Kiet Tieu Mechaical Egieerig Uiversity of Wollogog.S.W. Australia Abstract A Gaussia filter usig the Hermite orthoormal series of fuctios

More information

Numerical Methods for Ordinary Differential Equations

Numerical Methods for Ordinary Differential Equations Numerical Methods for Ordiary Differetial Equatios Braislav K. Nikolić Departmet of Physics ad Astroomy, Uiversity of Delaware, U.S.A. PHYS 460/660: Computatioal Methods of Physics http://www.physics.udel.edu/~bikolic/teachig/phys660/phys660.html

More information

Recursive Algorithms. Recurrences. Recursive Algorithms Analysis

Recursive Algorithms. Recurrences. Recursive Algorithms Analysis Recursive Algorithms Recurreces Computer Sciece & Egieerig 35: Discrete Mathematics Christopher M Bourke cbourke@cseuledu A recursive algorithm is oe i which objects are defied i terms of other objects

More information

Find a formula for the exponential function whose graph is given , 1 2,16 1, 6

Find a formula for the exponential function whose graph is given , 1 2,16 1, 6 Math 4 Activity (Due by EOC Apr. ) Graph the followig epoetial fuctios by modifyig the graph of f. Fid the rage of each fuctio.. g. g. g 4. g. g 6. g Fid a formula for the epoetial fuctio whose graph is

More information

PC5215 Numerical Recipes with Applications - Review Problems

PC5215 Numerical Recipes with Applications - Review Problems PC55 Numerical Recipes with Applicatios - Review Problems Give the IEEE 754 sigle precisio bit patter (biary or he format) of the followig umbers: 0 0 05 00 0 00 Note that it has 8 bits for the epoet,

More information

Finite Difference Approximation for Transport Equation with Shifts Arising in Neuronal Variability

Finite Difference Approximation for Transport Equation with Shifts Arising in Neuronal Variability Iteratioal Joural of Sciece ad Research (IJSR) ISSN (Olie): 39-764 Ide Copericus Value (3): 64 Impact Factor (3): 4438 Fiite Differece Approimatio for Trasport Equatio with Shifts Arisig i Neuroal Variability

More information

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ.

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ. 2 5. Weighted umber of late jobs 5.1. Release dates ad due dates: maximimizig the weight of o-time jobs Oce we add release dates, miimizig the umber of late jobs becomes a sigificatly harder problem. For

More information

mx bx kx F t. dt IR I LI V t, Q LQ RQ V t,

mx bx kx F t. dt IR I LI V t, Q LQ RQ V t, Lecture 5 omplex Variables II (Applicatios i Physics) (See hapter i Boas) To see why complex variables are so useful cosider first the (liear) mechaics of a sigle particle described by Newto s equatio

More information

μ are complex parameters. Other

μ are complex parameters. Other A New Numerical Itegrator for the Solutio of Iitial Value Problems i Ordiary Differetial Equatios. J. Suday * ad M.R. Odekule Departmet of Mathematical Scieces, Adamawa State Uiversity, Mubi, Nigeria.

More information

Vibratory Motion. Prof. Zheng-yi Feng NCHU SWC. National CHung Hsing University, Department of Soil and Water Conservation

Vibratory Motion. Prof. Zheng-yi Feng NCHU SWC. National CHung Hsing University, Department of Soil and Water Conservation Vibratory Motio Prof. Zheg-yi Feg NCHU SWC 1 Types of vibratory motio Periodic motio Noperiodic motio See Fig. A1, p.58 Harmoic motio Periodic motio Trasiet motio impact Trasiet motio earthquake A powerful

More information

Introduction to Signals and Systems, Part V: Lecture Summary

Introduction to Signals and Systems, Part V: Lecture Summary EEL33: Discrete-Time Sigals ad Systems Itroductio to Sigals ad Systems, Part V: Lecture Summary Itroductio to Sigals ad Systems, Part V: Lecture Summary So far we have oly looked at examples of o-recursive

More information

Olli Simula T / Chapter 1 3. Olli Simula T / Chapter 1 5

Olli Simula T / Chapter 1 3. Olli Simula T / Chapter 1 5 Sigals ad Systems Sigals ad Systems Sigals are variables that carry iformatio Systemstake sigals as iputs ad produce sigals as outputs The course deals with the passage of sigals through systems T-6.4

More information

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows

More information

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t Itroductio to Differetial Equatios Defiitios ad Termiolog Differetial Equatio: A equatio cotaiig the derivatives of oe or more depedet variables, with respect to oe or more idepedet variables, is said

More information

Finite Difference Approximation for First- Order Hyperbolic Partial Differential Equation Arising in Neuronal Variability with Shifts

Finite Difference Approximation for First- Order Hyperbolic Partial Differential Equation Arising in Neuronal Variability with Shifts Iteratioal Joural of Scietific Egieerig ad Research (IJSER) wwwiseri ISSN (Olie): 347-3878, Impact Factor (4): 35 Fiite Differece Approimatio for First- Order Hyperbolic Partial Differetial Equatio Arisig

More information

Paper-II Chapter- Damped vibration

Paper-II Chapter- Damped vibration Paper-II Chapter- Damped vibratio Free vibratios: Whe a body cotiues to oscillate with its ow characteristics frequecy. Such oscillatios are kow as free or atural vibratios of the body. Ideally, the body

More information

Practical Spectral Anaysis (continue) (from Boaz Porat s book) Frequency Measurement

Practical Spectral Anaysis (continue) (from Boaz Porat s book) Frequency Measurement Practical Spectral Aaysis (cotiue) (from Boaz Porat s book) Frequecy Measuremet Oe of the most importat applicatios of the DFT is the measuremet of frequecies of periodic sigals (eg., siusoidal sigals),

More information

Subject: Differential Equations & Mathematical Modeling -III. Lesson: Power series solutions of Differential Equations. about ordinary points

Subject: Differential Equations & Mathematical Modeling -III. Lesson: Power series solutions of Differential Equations. about ordinary points Power series solutio of Differetial equatios about ordiary poits Subject: Differetial Equatios & Mathematical Modelig -III Lesso: Power series solutios of Differetial Equatios about ordiary poits Lesso

More information

Damped Vibration of a Non-prismatic Beam with a Rotational Spring

Damped Vibration of a Non-prismatic Beam with a Rotational Spring Vibratios i Physical Systems Vol.6 (0) Damped Vibratio of a No-prismatic Beam with a Rotatioal Sprig Wojciech SOCHACK stitute of Mechaics ad Fudametals of Machiery Desig Uiversity of Techology, Czestochowa,

More information

Calculus 2 - D. Yuen Final Exam Review (Version 11/22/2017. Please report any possible typos.)

Calculus 2 - D. Yuen Final Exam Review (Version 11/22/2017. Please report any possible typos.) Calculus - D Yue Fial Eam Review (Versio //7 Please report ay possible typos) NOTE: The review otes are oly o topics ot covered o previous eams See previous review sheets for summary of previous topics

More information

Linear Differential Equations of Higher Order Basic Theory: Initial-Value Problems d y d y dy

Linear Differential Equations of Higher Order Basic Theory: Initial-Value Problems d y d y dy Liear Differetial Equatios of Higher Order Basic Theory: Iitial-Value Problems d y d y dy Solve: a( ) + a ( )... a ( ) a0( ) y g( ) + + + = d d d ( ) Subject to: y( 0) = y0, y ( 0) = y,..., y ( 0) = y

More information

Run-length & Entropy Coding. Redundancy Removal. Sampling. Quantization. Perform inverse operations at the receiver EEE

Run-length & Entropy Coding. Redundancy Removal. Sampling. Quantization. Perform inverse operations at the receiver EEE Geeral e Image Coder Structure Motio Video (s 1,s 2,t) or (s 1,s 2 ) Natural Image Samplig A form of data compressio; usually lossless, but ca be lossy Redudacy Removal Lossless compressio: predictive

More information

Time-Domain Representations of LTI Systems

Time-Domain Representations of LTI Systems 2.1 Itroductio Objectives: 1. Impulse resposes of LTI systems 2. Liear costat-coefficiets differetial or differece equatios of LTI systems 3. Bloc diagram represetatios of LTI systems 4. State-variable

More information

Chapter 4 : Laplace Transform

Chapter 4 : Laplace Transform 4. Itroductio Laplace trasform is a alterative to solve the differetial equatio by the complex frequecy domai ( s = σ + jω), istead of the usual time domai. The DE ca be easily trasformed ito a algebraic

More information

ADVANCED DIGITAL SIGNAL PROCESSING

ADVANCED DIGITAL SIGNAL PROCESSING ADVANCED DIGITAL SIGNAL PROCESSING PROF. S. C. CHAN (email : sccha@eee.hku.hk, Rm. CYC-702) DISCRETE-TIME SIGNALS AND SYSTEMS MULTI-DIMENSIONAL SIGNALS AND SYSTEMS RANDOM PROCESSES AND APPLICATIONS ADAPTIVE

More information

A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD

A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD IRET: Iteratioal oural of Research i Egieerig ad Techology eissn: 39-63 pissn: 3-7308 A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD Satish

More information

Analysis of composites with multiple rigid-line reinforcements by the BEM

Analysis of composites with multiple rigid-line reinforcements by the BEM Aalysis of composites with multiple rigid-lie reiforcemets by the BEM Piotr Fedeliski* Departmet of Stregth of Materials ad Computatioal Mechaics, Silesia Uiversity of Techology ul. Koarskiego 18A, 44-100

More information

Taylor expansion: Show that the TE of f(x)= sin(x) around. sin(x) = x - + 3! 5! L 7 & 8: MHD/ZAH

Taylor expansion: Show that the TE of f(x)= sin(x) around. sin(x) = x - + 3! 5! L 7 & 8: MHD/ZAH Taylor epasio: Let ƒ() be a ifiitely differetiable real fuctio. A ay poit i the eighbourhood of 0, the fuctio ƒ() ca be represeted by a power series of the followig form: X 0 f(a) f() f() ( ) f( ) ( )

More information

1 Inferential Methods for Correlation and Regression Analysis

1 Inferential Methods for Correlation and Regression Analysis 1 Iferetial Methods for Correlatio ad Regressio Aalysis I the chapter o Correlatio ad Regressio Aalysis tools for describig bivariate cotiuous data were itroduced. The sample Pearso Correlatio Coefficiet

More information

Section 1 of Unit 03 (Pure Mathematics 3) Algebra

Section 1 of Unit 03 (Pure Mathematics 3) Algebra Sectio 1 of Uit 0 (Pure Mathematics ) Algebra Recommeded Prior Kowledge Studets should have studied the algebraic techiques i Pure Mathematics 1. Cotet This Sectio should be studied early i the course

More information

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n Review of Power Series, Power Series Solutios A power series i x - a is a ifiite series of the form c (x a) =c +c (x a)+(x a) +... We also call this a power series cetered at a. Ex. (x+) is cetered at

More information

FREE VIBRATIONS OF SIMPLY SUPPORTED BEAMS USING FOURIER SERIES

FREE VIBRATIONS OF SIMPLY SUPPORTED BEAMS USING FOURIER SERIES Abdullah : FREE VIBRATIONS OF SIMPY SUPPORTED BEAMS FREE VIBRATIONS OF SIMPY SUPPORTED BEAMS USING FOURIER SERIES SAWA MUBARAK ABDUAH Assistat ecturer Uiversity of Mosul Abstract Fourier series will be

More information

PROPOSING INPUT-DEPENDENT MODE CONTRIBUTION FACTORS FOR SIMPLIFIED SEISMIC RESPONSE ANALYSIS OF BUILDING SYSTEMS

PROPOSING INPUT-DEPENDENT MODE CONTRIBUTION FACTORS FOR SIMPLIFIED SEISMIC RESPONSE ANALYSIS OF BUILDING SYSTEMS he 4 th World Coferece o Earthquake Egieerig October -7, 008, Beiig, Chia PROPOSING INPU-DEPENDEN ODE CONRIBUION FACORS FOR SIPLIFIED SEISIC RESPONSE ANALYSIS OF BUILDING SYSES ahmood Hosseii ad Laya Abbasi

More information

METHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS

METHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS Please cite this article as: Staisław Kula, Method of fudametal solutios for Helmholtz eigevalue problems i elliptical domais, Scietific Research of the Istitute of Mathematics ad Computer Sciece, 009,

More information

2.004 Dynamics and Control II Spring 2008

2.004 Dynamics and Control II Spring 2008 MIT OpeCourseWare http://ocw.mit.edu 2.004 Dyamics ad Cotrol II Sprig 2008 For iformatio about citig these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Massachusetts Istitute of Techology

More information

FIR Filter Design: Part II

FIR Filter Design: Part II EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we cosider how we might go about desigig FIR filters with arbitrary frequecy resposes, through compositio of multiple sigle-peak

More information

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j. Eigevalue-Eigevector Istructor: Nam Su Wag eigemcd Ay vector i real Euclidea space of dimesio ca be uiquely epressed as a liear combiatio of liearly idepedet vectors (ie, basis) g j, j,,, α g α g α g α

More information

ANALYSIS OF DAMPING EFFECT ON BEAM VIBRATION

ANALYSIS OF DAMPING EFFECT ON BEAM VIBRATION Molecular ad Quatum Acoustics vol. 7, (6) 79 ANALYSIS OF DAMPING EFFECT ON BEAM VIBRATION Jerzy FILIPIAK 1, Lech SOLARZ, Korad ZUBKO 1 Istitute of Electroic ad Cotrol Systems, Techical Uiversity of Czestochowa,

More information

Kinetics of Complex Reactions

Kinetics of Complex Reactions Kietics of Complex Reactios by Flick Colema Departmet of Chemistry Wellesley College Wellesley MA 28 wcolema@wellesley.edu Copyright Flick Colema 996. All rights reserved. You are welcome to use this documet

More information

Voltage controlled oscillator (VCO)

Voltage controlled oscillator (VCO) Voltage cotrolled oscillator (VO) Oscillatio frequecy jl Z L(V) jl[ L(V)] [L L (V)] L L (V) T VO gai / Logf Log 4 L (V) f f 4 L(V) Logf / L(V) f 4 L (V) f (V) 3 Lf 3 VO gai / (V) j V / V Bi (V) / V Bi

More information

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS Jural Karya Asli Loreka Ahli Matematik Vol. No. (010) page 6-9. Jural Karya Asli Loreka Ahli Matematik A NEW CLASS OF -STEP RATIONAL MULTISTEP METHODS 1 Nazeeruddi Yaacob Teh Yua Yig Norma Alias 1 Departmet

More information

DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS. Park Road, Islamabad, Pakistan

DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS. Park Road, Islamabad, Pakistan Mathematical ad Computatioal Applicatios, Vol. 9, No. 3, pp. 30-40, 04 DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS Muhammad Aslam Noor, Khalida Iayat Noor ad Asif Waheed

More information

Dynamical stability and parametrical vibrations of the laminated plates with complex shape

Dynamical stability and parametrical vibrations of the laminated plates with complex shape (3) 75 88 Dyamical stability ad parametrical vibratios of the lamiated plates with comple shape Abstract The problem of oliear vibratios ad stability aalysis for the symmetric lamiated plates with comple

More information

Appendix: The Laplace Transform

Appendix: The Laplace Transform Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio

More information

L 5 & 6: RelHydro/Basel. f(x)= ( ) f( ) ( ) ( ) ( ) n! 1! 2! 3! If the TE of f(x)= sin(x) around x 0 is: sin(x) = x - 3! 5!

L 5 & 6: RelHydro/Basel. f(x)= ( ) f( ) ( ) ( ) ( ) n! 1! 2! 3! If the TE of f(x)= sin(x) around x 0 is: sin(x) = x - 3! 5! aylor epasio: Let ƒ() be a ifiitely differetiable real fuctio. At ay poit i the eighbourhood of =0, the fuctio ca be represeted as a power series of the followig form: X 0 f(a) f() ƒ() f()= ( ) f( ) (

More information

Taylor polynomial solution of difference equation with constant coefficients via time scales calculus

Taylor polynomial solution of difference equation with constant coefficients via time scales calculus TMSCI 3, o 3, 129-135 (2015) 129 ew Treds i Mathematical Scieces http://wwwtmscicom Taylor polyomial solutio of differece equatio with costat coefficiets via time scales calculus Veysel Fuat Hatipoglu

More information

Topic 9: Sampling Distributions of Estimators

Topic 9: Sampling Distributions of Estimators Topic 9: Samplig Distributios of Estimators Course 003, 2016 Page 0 Samplig distributios of estimators Sice our estimators are statistics (particular fuctios of radom variables), their distributio ca be

More information

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001.

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001. Physics 324, Fall 2002 Dirac Notatio These otes were produced by David Kapla for Phys. 324 i Autum 2001. 1 Vectors 1.1 Ier product Recall from liear algebra: we ca represet a vector V as a colum vector;

More information

POD-Based Analysis of Dynamic Wind Load Effects on a Large Span Roof

POD-Based Analysis of Dynamic Wind Load Effects on a Large Span Roof POD-Based Aalysis of Dyamic Wid Load Effects o a Large Spa Roof Xi-yag Ji, Yi Tag ad Hai Ji 3 Professor, Wid Egieerig Research Ceter, Chia Academy of Buildig Research, Beiig 3, Chia, ixiyag@cabrtech.com

More information

CS537. Numerical Analysis and Computing

CS537. Numerical Analysis and Computing CS57 Numerical Aalysis ad Computig Lecture Locatig Roots o Equatios Proessor Ju Zhag Departmet o Computer Sciece Uiversity o Ketucky Leigto KY 456-6 Jauary 9 9 What is the Root May physical system ca be

More information

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL

More information

Analytical solutions for multi-wave transfer matrices in layered structures

Analytical solutions for multi-wave transfer matrices in layered structures Joural of Physics: Coferece Series PAPER OPEN ACCESS Aalytical solutios for multi-wave trasfer matrices i layered structures To cite this article: Yu N Belyayev 018 J Phys: Cof Ser 109 01008 View the article

More information

Stochastic Matrices in a Finite Field

Stochastic Matrices in a Finite Field Stochastic Matrices i a Fiite Field Abstract: I this project we will explore the properties of stochastic matrices i both the real ad the fiite fields. We first explore what properties 2 2 stochastic matrices

More information

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A)

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A) REGRESSION (Physics 0 Notes, Partial Modified Appedix A) HOW TO PERFORM A LINEAR REGRESSION Cosider the followig data poits ad their graph (Table I ad Figure ): X Y 0 3 5 3 7 4 9 5 Table : Example Data

More information

2. Fourier Series, Fourier Integrals and Fourier Transforms

2. Fourier Series, Fourier Integrals and Fourier Transforms Mathematics IV -. Fourier Series, Fourier Itegrals ad Fourier Trasforms The Fourier series are used for the aalysis of the periodic pheomea, which ofte appear i physics ad egieerig. The Fourier itegrals

More information

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering CEE 5 Autum 005 Ucertaity Cocepts for Geotechical Egieerig Basic Termiology Set A set is a collectio of (mutually exclusive) objects or evets. The sample space is the (collectively exhaustive) collectio

More information

8. Applications To Linear Differential Equations

8. Applications To Linear Differential Equations 8. Applicatios To Liear Differetial Equatios 8.. Itroductio 8.. Review Of Results Cocerig Liear Differetial Equatios Of First Ad Secod Orders 8.3. Eercises 8.4. Liear Differetial Equatios Of Order N 8.5.

More information

A proposed discrete distribution for the statistical modeling of

A proposed discrete distribution for the statistical modeling of It. Statistical Ist.: Proc. 58th World Statistical Cogress, 0, Dubli (Sessio CPS047) p.5059 A proposed discrete distributio for the statistical modelig of Likert data Kidd, Marti Cetre for Statistical

More information

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall Iteratioal Mathematical Forum, Vol. 9, 04, o. 3, 465-475 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/0.988/imf.04.48 Similarity Solutios to Usteady Pseudoplastic Flow Near a Movig Wall W. Robi Egieerig

More information

Chapter 2: Numerical Methods

Chapter 2: Numerical Methods Chapter : Numerical Methods. Some Numerical Methods for st Order ODEs I this sectio, a summar of essetial features of umerical methods related to solutios of ordiar differetial equatios is give. I geeral,

More information

Some New Iterative Methods for Solving Nonlinear Equations

Some New Iterative Methods for Solving Nonlinear Equations World Applied Scieces Joural 0 (6): 870-874, 01 ISSN 1818-495 IDOSI Publicatios, 01 DOI: 10.589/idosi.wasj.01.0.06.830 Some New Iterative Methods for Solvig Noliear Equatios Muhammad Aslam Noor, Khalida

More information

True Nature of Potential Energy of a Hydrogen Atom

True Nature of Potential Energy of a Hydrogen Atom True Nature of Potetial Eergy of a Hydroge Atom Koshu Suto Key words: Bohr Radius, Potetial Eergy, Rest Mass Eergy, Classical Electro Radius PACS codes: 365Sq, 365-w, 33+p Abstract I cosiderig the potetial

More information

Subject: Differential Equations & Mathematical Modeling-III

Subject: Differential Equations & Mathematical Modeling-III Power Series Solutios of Differetial Equatios about Sigular poits Subject: Differetial Equatios & Mathematical Modelig-III Lesso: Power series solutios of differetial equatios about Sigular poits Lesso

More information

Warped, Chirp Z-Transform: Radar Signal Processing

Warped, Chirp Z-Transform: Radar Signal Processing arped, Chirp Z-Trasform: Radar Sigal Processig by Garimella Ramamurthy Report o: IIIT/TR// Cetre for Commuicatios Iteratioal Istitute of Iformatio Techology Hyderabad - 5 3, IDIA Jauary ARPED, CHIRP Z

More information

MAXIMALLY FLAT FIR FILTERS

MAXIMALLY FLAT FIR FILTERS MAXIMALLY FLAT FIR FILTERS This sectio describes a family of maximally flat symmetric FIR filters first itroduced by Herrma [2]. The desig of these filters is particularly simple due to the availability

More information

A.1 Algebra Review: Polynomials/Rationals. Definitions:

A.1 Algebra Review: Polynomials/Rationals. Definitions: MATH 040 Notes: Uit 0 Page 1 A.1 Algera Review: Polyomials/Ratioals Defiitios: A polyomial is a sum of polyomial terms. Polyomial terms are epressios formed y products of costats ad variales with whole

More information

Problem 1. Problem Engineering Dynamics Problem Set 9--Solution. Find the equation of motion for the system shown with respect to:

Problem 1. Problem Engineering Dynamics Problem Set 9--Solution. Find the equation of motion for the system shown with respect to: 2.003 Egieerig Dyamics Problem Set 9--Solutio Problem 1 Fid the equatio of motio for the system show with respect to: a) Zero sprig force positio. Draw the appropriate free body diagram. b) Static equilibrium

More information

Numerical Solutions of Second Order Boundary Value Problems by Galerkin Residual Method on Using Legendre Polynomials

Numerical Solutions of Second Order Boundary Value Problems by Galerkin Residual Method on Using Legendre Polynomials IOSR Joural of Mathematics (IOSR-JM) e-issn: 78-578, p-issn: 319-765X. Volume 11, Issue 6 Ver. IV (Nov. - Dec. 15), PP 1-11 www.iosrjourals.org Numerical Solutios of Secod Order Boudary Value Problems

More information

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations Noliear Aalysis ad Differetial Equatios, Vol. 5, 27, o. 4, 57-7 HIKARI Ltd, www.m-hikari.com https://doi.org/.2988/ade.27.62 Modified Decompositio Method by Adomia ad Rach for Solvig Noliear Volterra Itegro-

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

Stochastic Simulation

Stochastic Simulation Stochastic Simulatio 1 Itroductio Readig Assigmet: Read Chapter 1 of text. We shall itroduce may of the key issues to be discussed i this course via a couple of model problems. Model Problem 1 (Jackso

More information

Topic 5 [434 marks] (i) Find the range of values of n for which. (ii) Write down the value of x dx in terms of n, when it does exist.

Topic 5 [434 marks] (i) Find the range of values of n for which. (ii) Write down the value of x dx in terms of n, when it does exist. Topic 5 [44 marks] 1a (i) Fid the rage of values of for which eists 1 Write dow the value of i terms of 1, whe it does eist Fid the solutio to the differetial equatio 1b give that y = 1 whe = π (cos si

More information

A PROCEDURE TO MODIFY THE FREQUENCY AND ENVELOPE CHARACTERISTICS OF EMPIRICAL GREEN'S FUNCTION. Lin LU 1 SUMMARY

A PROCEDURE TO MODIFY THE FREQUENCY AND ENVELOPE CHARACTERISTICS OF EMPIRICAL GREEN'S FUNCTION. Lin LU 1 SUMMARY A POCEDUE TO MODIFY THE FEQUENCY AND ENVELOPE CHAACTEISTICS OF EMPIICAL GEEN'S FUNCTION Li LU SUMMAY Semi-empirical method, which divides the fault plae of large earthquake ito mets ad uses small groud

More information

CUMULATIVE DAMAGE ESTIMATION USING WAVELET TRANSFORM OF STRUCTURAL RESPONSE

CUMULATIVE DAMAGE ESTIMATION USING WAVELET TRANSFORM OF STRUCTURAL RESPONSE CUMULATIVE DAMAGE ESTIMATION USING WAVELET TRANSFORM OF STRUCTURAL RESPONSE Ryutaro SEGAWA 1, Shizuo YAMAMOTO, Akira SONE 3 Ad Arata MASUDA 4 SUMMARY Durig a strog earthquake, the respose of a structure

More information

Lecture 8: Solving the Heat, Laplace and Wave equations using finite difference methods

Lecture 8: Solving the Heat, Laplace and Wave equations using finite difference methods Itroductory lecture otes o Partial Differetial Equatios - c Athoy Peirce. Not to be copied, used, or revised without explicit writte permissio from the copyright ower. 1 Lecture 8: Solvig the Heat, Laplace

More information

A Block Cipher Using Linear Congruences

A Block Cipher Using Linear Congruences Joural of Computer Sciece 3 (7): 556-560, 2007 ISSN 1549-3636 2007 Sciece Publicatios A Block Cipher Usig Liear Cogrueces 1 V.U.K. Sastry ad 2 V. Jaaki 1 Academic Affairs, Sreeidhi Istitute of Sciece &

More information

Stability Analysis of the Euler Discretization for SIR Epidemic Model

Stability Analysis of the Euler Discretization for SIR Epidemic Model Stability Aalysis of the Euler Discretizatio for SIR Epidemic Model Agus Suryato Departmet of Mathematics, Faculty of Scieces, Brawijaya Uiversity, Jl Vetera Malag 6545 Idoesia Abstract I this paper we

More information

Recurrence Relations

Recurrence Relations Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The

More information

ENGI 9420 Engineering Analysis Assignment 3 Solutions

ENGI 9420 Engineering Analysis Assignment 3 Solutions ENGI 9 Egieerig Aalysis Assigmet Solutios Fall [Series solutio of ODEs, matri algebra; umerical methods; Chapters, ad ]. Fid a power series solutio about =, as far as the term i 7, to the ordiary differetial

More information