y A A B B d Vasos Pavlika (1) (2)
|
|
- Elisabeth Welch
- 5 years ago
- Views:
Transcription
1 The alclaton of smmetrc ct Geometres for Incompressble otatonal Flow Usng a fferental Eqaton pproach a ondar Integral Formla based on Green s Theorem Vasos Pavlka bstract In ths paper a nmercal algorthm s descrbed for solvng the bondar vale problem assocated wth asmmetrc, nvscd, ncompressble, rotatonal rrotatonal flow n order to obtan dct wall shapes from prescrbed wall veloct dstrbtons The governng eqatons are formlated n terms of the stream fncton, the fncton, as ndependent varables where for rrotatonal flow, can be recognzed as the veloct potental fncton, for rotatonal flow, ceases beng the veloct potental fncton bt does reman orthogonal to the stream lnes nmercal method based on fnte dfferences solvng a Posson tpe eqaton on a nform mesh s emploed The technqe descrbed s capable of tacklng the so-called nverse problem where the veloct wall dstrbtons are prescrbed from whch the dct wall shape s calclated, as well as the drect problem where the veloct dstrbton on the dct walls are calclated from prescrbed dct wall shapes eslts for the case of prescrbng the rads e the so called rchlet bondar condtons are gven downstream condton s prescrbed sch that clndrcal flow, that s flow whch s ndependent of the aal coordnate, ests n alternatve formlaton s also derved based on sng Green s fncton for the Laplace eqaton on a rectangle Inde Terms Irrotatonal Incompressble flow, Upstream condtons ownstream lndrcal flow condton, dont eqaton, Green s fncton Integral Formla I INTOUTION esgners of dcts reqre nmercal technqes for calclatng wall shapes from a prescrbed veloct dstrbton The obectve of the prescrbed veloct s tpcall to avod bondar laer separaton t nlet a veloct s prescrbed to allow for a vortct to be present calclated from v where the denotes the sal cross prodct of vectors, s the vortct vector v the veloct vector respectvel Manscrpt receved gst 4, 3 VPavlka s wth SOS, Unverst of London, U, vp4@soasack The obectve of the present paper s to descrbe a nmercal algorthm for solvng the bondar vale problem that arses when the ndependent varables are where ma be dentfed as the veloct potental fncton for rrotatonal flow onl, for flow wth vortct ceases beng the veloct potental fncton bt does reman orthogonal to whch ma be dentfed as the stream fncton The dependent varable, s the radal coordnate the aal coordnate The nmercal technqe s based on the fnte dfference scheme on a nform mesh II THE ESIGN PLNE s shown n Pavlka [4] when the ndependent varables are,, where the,, have been prevosl defned t can be shown that the governng partal dfferental eqaton that the rads satsfes s gven b: + wth the speed calclated from q completon of the phscal coordnates provded from d d d where s the aal coordnate satsf ther own frst order qas-lnear hperbolc partal dfferental eqatons wth characterstcs parallel to the aes IMES 4
2 whch maps the phscal flow feld nto an nfnte strp n the, plane In fact the satsf: log log q q 3 4 egardng temporarl, q as known fnctons of the sstem 3 4 as prevosl mentoned s qas-lnear hperbolc wth characterstcs parallel to the aes whch maps the phscal flow feld nto an nfnte strp n the, plane earng n mnd the freedom avalable n the stream wse varaton of the cross stream varaton of, stable vales of can be prescrbed along one characterstc those of can be prescrbed along one characterstc III THE NUMEIL LGOITHM IN THE ESIGN PLNE ewrtng the partal dfferental eqaton that satsfes e eqaton as: where E h,,, N, g,, g, gn, N, E,,, N, ,,, N 7 + c 5 where, for problems posed n the desgn plane c=, the vale of wll var dependng on whether the flow feld s rrotatonal or swrl free etc Eqaton 5 wll be rewrtten as a Posson eqaton that s as: c log e where s the sal two dmensonal Laplacan operator so that g,,,, c where g s a fncton of the argments shown as defned b eqaton 6 Wrtng n fnte dfference form sng central dfferences gves: 6 On a nform mesh wth h IV IET SOLUTION OF THE IFFEENE EQUTIONS The matr-vector eqaton 7 s E Wth all of order NXN, colmn vectors E of order N To solve the vector recrrence relaton a speclaton s made that the - vector can be related lnearl to the vector as follows: where the the are at present nknown matrces colmn vectors respectvel Sbstttng 8 nto 7 gves W W W bt E W E E W Ths eqatng coeffcents mples E 8 IMES 4
3 W E 9 W For = ths gves E W To determne the, f the frst terate then t t t Frthermore p t p p The matr vector seqences are now defned b eqatons 9 for = to M The vectors are M now calclated startng from rght to left as s known sng M M M M V XISMMETI FLOW IN THE SENE OF O FOES Here nmercal soltons to nvscd asmmetrc flow wth constant vortct a swrl veloct wll be derved The aal veloct component at nlet wll be chosen to be of the form =+, where are constants chosen sch that = = where represents the rads the oter rads at nlet The swrl veloct, wll be of the form k l where the k l are constants wth k representng sold bod rotaton l/ the so-called free vorte term respectvel VI THE FLOW EQUTIONS IN THE PHSIL PLNE,,X doptng clndrcal polar coordnates wth beng the radal coordnate, the crcmferental the aal coordnate, defnng veloct components, wth correspondng vortct components,,, n the drecton of ncreasng, respectvel, then the eqaton of moton wth nt denst becomes: t p Where s the materal dervatve Eqaton can be t wrtten sng well known vector denttes as: can be wrtten once agan sng an approprate vector dentt as p t q Ths for stead flow rocco s form of the eqaton of moton s obtaned, e H 3 where H s the total head defned b H = p q alclatng the cross prodct on the left h sde of eqaton 3, gves H H In addton for asmmetrc flow the vortct vector becomes = + The eqaton of contnt becomes VII THE ESIGN PLNE OUNTEPTS In order to compte nmercal soltons n the desgn plane, epressons are reqred for the terms,, ths IMES 4
4 q log s or q log, bt q log q ths = f, that s n The arbtrar f fncton f represents the freedom n the cross stream dstrbton of choosng f to be nt everwhere f can be dentfed as the sal Stokes stream fncton gven b ; Eqaton, crcmferental component gves eferrng to the merdan plane fgre, t ma be dedced that: q ; q s s s ds where q = In terms of the vortct vector dt epresson 5 becomes = + + = + +, b defnton n epresson for s reqred as ths appears n the epresson for, so sng the radal component of eqaton 4 gves sng the Stokes stream fncton ths becomes d dh d d whch s the reqred epresson to be sed n calclaton of accordng to defnton 4 If far pstream the flow s assmed to be clndrcal so that all qanttes are ndependent of, then wth nt denst the eqaton of moton the Stokes Stream fncton gve p p ; ; ; ; gvng d d d d Wth prevosl defned Once dh d l k as has been calclated pstream t takes ths vale throghot the, snce as s self evdent the epresson s ndependent of Ths last epresson for s reqred n the calclaton of nmercal coplng wth eqaton gves the nmercal solton n the desgn plane VIII OWNSTEM ONITIONS ownstream a clndrcal flow condton as dscssed below wll be prescrbed efnng the pressre fncton as H the fncton p H for clndrcal flow radal eqlbrm from eqaton radal component gves dp d Integratng gves d p p d 3 Whch gves H as H IMES 4
5 p H Now Therefore 3 d d 3 d/ d d d where p, p,,, d,, wth, n ths case gven b 7 IX LULTION POEUE 8 The calclaton of the downstream rad follow from eqaton 8 wth, gven b eqaton 7, whch can be wrtten as p H d d d, g, where g, d d d 9 Sppose,,,,, where the sbscrpt denotes pstream condtons, then,,,, are reqred as fnctons of, where the sbscrpt smlarl denotng downstream condtons, so that p, H,, d d d d d,, 6 Frthermore,,, eqaton 6 now gves p, p,,,,, d or,, d 7 In order to calclate the n+ th terate t s known that: bt, oter = d g 3, n d n n, oter, oter, oter n n n from whch as can be seen from eqaton the n mst be calclated teratvel wth =, Once the n+ has been calclated t s ntrodced nto eqaton 9, gvng n rse to a new, whch n trn gves a new n, from eqaton 8 the process repeated ntl some convergence crtera s satsfed X PESIPTION OF WLL GEOMETIES In ths paper the rchlet bondar condtons wll be prescrbed on the wall bondares so that t s the rad vales, that are gven as a fncton of on the bondares The fncton chosen to gve a dstrbton s based on the hperbolc tangent, choosng =tanha+b+k where, a, b k are constants, applng the condtons that = at = = d at = takng a+b=3arbtrar b=- 3, so that tanha+b tanhb -, then t follows that IMES 4
6 d d tanh a b replacng, b n eqaton gves a dstrbton The rads s prescrbed to be eqal to nt n ths paper arbtrar The geometres prodced are shown n fgres, 3 4 respectvel XI LTENTIVE SOLUTION USING N INTEGL FOMUL SE ON GEEN S THEOEM Here a second method of solton s derved sng an ntegral formla ommencng wth the generalzed form of Green s theorem for the self adont ellptc operator Et n normal form gven b: ve t te v dd v t t v ds n n where t =, E E where E s the adont of E v s the fndamental solton to the adont eqaton In ths case the adont eqaton s gven b Et = g as defned b eqaton 6 The contor bondng the srface s traversed n the conter clockwse sense For a dobl connected regon ntrodcng a snglart at the pont, nsde or on the contor assmng v, F, log r e so that the dstance r s r gven b: / wth F, analtc, then t can be shown that m t, F, wth v t t v ds n n t L vg, dd, m, L log e t Now m = f, s wthn, s on the m= case can be shown sng m= f the approprate Plemel formlae or b ndentng the contor at, For the rchlet case of bondar condton of t, the reqrement s that v, on n addton to v, beng harmonc for the Nemann condtons on t, the reqrement s that v = v, once agan satsfng Laplace s n eqaton Mch lteratre s avalable for the Green s fncton for the Laplace eqaton see Wllams [6] need not be mentoned here Hence for the rchlet problem wthot loss of generalt settng F for nteror ponts:,, t, v t ds n t L v g, dd e, the Green s fncton v satsfes Laplace s eqaton on where s defned b:, M N vanshes on For the Nemann problem t, t n v ds N v N t L g, dd Whch gve ntegral formlae for the sqare of the rads t, from whch the rads can be determned, above Green s fncton v N satsfes the Laplace eqaton on wth v N t vanshng on nowledge of the dervatves n t are also reqred for the determnaton of the speed q gven b eqaton hence dfferentatng nder the ntegral sgn above wth respect to t t gves ntegral formlae for both, sch that: t, v smlarl for t v n g v g dd t, v t t v n g v g dd v t ds n v t ds n IMES 4
7 XII ITETIVE SOLUTION To convert formla to a sstem of lnear algebrac eqatons the pont t, nsde s related to ts bondar vales on To obtan the frst terates t,, g s set eqal to zero, so that NM4 v n t t s Usng the trapezodal rle v t s s t NM4 4 n NM4 t v, s t, v s = s s Where, v 4 n Usng ths method there s a smple self-consstenc check e the t are known pstream downstream for =,,,,N+ =N+M+3,N+M+4, N+M+3, hence the frst teraton ma be wrtten as: N N 3 NM4 tn t N N3 N4 NM4 N3 t N NM4 NM4 t t t where the smmatons on the rght h sde are performed over =,, N+ =M+N+3, M+N+4,,,M+N+3 Once the frst terate t has been calclated the feld ntegral contanng g s then compted, where the central dfference appromaton to the second dervatve s sed, ths s then ntrodced nto the rght h sde of eqaton 3 compte the second terate t The procedre s repeated ntl some convergence crtera s satsfed eg k k t t p, where s a constant the p denotes the p-norm p=, or XIII ONLUSIONS s shown, geometres have been prodced sbect to gven pstream downstream condtons wth prescrbed rchlet bondar condtons In ths case vortct at nlet has been specfed b defnng the aal veloct to be of the form =+, the swrl veloct of the form l k, where the k l are constants, defnng the so-called free forced vorte whrl respectvel The downstream condtons where sch that: clndrcal flow was present, rchlet bondar condtons were prescrbed, however the case wth Nemann condtons can be accommodated sng the algorthm, n addton so can the case wth obn bondar condton Frther eamples of the algorthm wth a combnaton of bondar condton s gven n Pavlka [5] It was fond that at most eght teratons were reqred to acheve an acceptable level of convergence, wth the technqe accelerated sng tken s Method EFEENES [] osns JM, Specal omptatonal problems assocated wth asmmetrc flow n Trbomachnes Ph Thess, N 976 [] rle N, aves HJ, Modern Fld namcs, van Nostr ehhold ompan, 97, chapter [3] ler M, erodnamc esgn of nnlar cts Ph thess 99, chapter [4] Pavlka V, Vector Feld Methods the Hdrodnamc esgn of nnlar cts, chapter VI, Unverst of North London 995 [5] Pavlka V, Vector Feld Methods the Hdrodnamc esgn of nnlar cts, chapter VIII, Unverst of North London 995 Fg The merdan plane so that t b 3 IMES 4
8 Fg The geometr speed dstrbton along the top bondar prodced gven a Swrl veloct 5 a veloct at nlet gven b Fg 4The geometr speed dstrbton along the top 6 bondar prodced gven a Swrl veloct an aal veloct at nlet gven b Fg 3 The geometr speed dstrbton along the top bondar prodced gven a Swrl veloct 6 3 an aal veloct at nlet gven b IMES 4
C PLANE ELASTICITY PROBLEM FORMULATIONS
C M.. Tamn, CSMLab, UTM Corse Content: A ITRODUCTIO AD OVERVIEW mercal method and Compter-Aded Engneerng; Phscal problems; Mathematcal models; Fnte element method. B REVIEW OF -D FORMULATIOS Elements and
More informationAE/ME 339. K. M. Isaac. 8/31/2004 topic4: Implicit method, Stability, ADI method. Computational Fluid Dynamics (AE/ME 339) MAEEM Dept.
AE/ME 339 Comptatonal Fld Dynamcs (CFD) Comptatonal Fld Dynamcs (AE/ME 339) Implct form of dfference eqaton In the prevos explct method, the solton at tme level n,,n, depended only on the known vales of,
More informationC PLANE ELASTICITY PROBLEM FORMULATIONS
C M.. Tamn, CSMLab, UTM Corse Content: A ITRODUCTIO AD OVERVIEW mercal method and Compter-Aded Engneerng; Phscal problems; Mathematcal models; Fnte element method. B REVIEW OF -D FORMULATIOS Elements and
More informationPART 8. Partial Differential Equations PDEs
he Islamc Unverst of Gaza Facult of Engneerng Cvl Engneerng Department Numercal Analss ECIV 3306 PAR 8 Partal Dfferental Equatons PDEs Chapter 9; Fnte Dfference: Ellptc Equatons Assocate Prof. Mazen Abualtaef
More informationGrid Generation around a Cylinder by Complex Potential Functions
Research Journal of Appled Scences, Engneerng and Technolog 4(): 53-535, 0 ISSN: 040-7467 Mawell Scentfc Organzaton, 0 Submtted: December 0, 0 Accepted: Januar, 0 Publshed: June 0, 0 Grd Generaton around
More informationMEMBRANE ELEMENT WITH NORMAL ROTATIONS
9. MEMBRANE ELEMENT WITH NORMAL ROTATIONS Rotatons Mst Be Compatble Between Beam, Membrane and Shell Elements 9. INTRODUCTION { XE "Membrane Element" }The comple natre of most bldngs and other cvl engneerng
More informationLecture notes on Computational Fluid Dynamics
Lectre notes on Comptatonal Fld Dnamcs Dan S. Hennngson Martn Berggren Janar 3, 5 Contents Dervaton of the Naver-Stokes eqatons 7. Notaton............................................... 7. Knematcs.............................................
More informationCHAPTER-5 INFORMATION MEASURE OF FUZZY MATRIX AND FUZZY BINARY RELATION
CAPTER- INFORMATION MEASURE OF FUZZY MATRI AN FUZZY BINARY RELATION Introducton The basc concept of the fuzz matr theor s ver smple and can be appled to socal and natural stuatons A branch of fuzz matr
More information3/31/ = 0. φi φi. Use 10 Linear elements to solve the equation. dx x dx THE PETROV-GALERKIN METHOD
THE PETROV-GAERKIN METHO Consder the Galern solton sng near elements of the modfed convecton-dffson eqaton α h d φ d φ + + = α s a parameter between and. If α =, we wll have the dscrete Galern form of
More informationNavier Stokes Second Exact Transformation
Unversal Jornal of Appled Mathematcs (3): 136-140, 014 DOI: 1013189/jam01400303 http://wwwhrpborg Naver Stokes Second Eact Transformaton Aleandr Koachok Kev, Ukrane *Correspondng Athor: a-koachok1@andea
More informationCOSC 6374 Parallel Computation
COSC 67 Parallel Comptaton Partal Derental Eqatons Edgar Gabrel Fall 0 Nmercal derentaton orward derence ormla From te denton o dervatves one can derve an appromaton or te st dervatve Te same ormla can
More informationModule 6. Lecture 2: Navier-Stokes and Saint Venant equations
Modle 6 Lectre : Naer-Stokes and Sant Venant eqatons Modle 6 Naer-Stokes Eqatons Clade-Los Naer Sr George Gabrel Stokes St.Venant eqatons are dered from Naer-Stokes Eqatons for shallo ater flo condtons.
More informationChapter 12. Ordinary Differential Equation Boundary Value (BV) Problems
Chapter. Ordnar Dfferental Equaton Boundar Value (BV) Problems In ths chapter we wll learn how to solve ODE boundar value problem. BV ODE s usuall gven wth x beng the ndependent space varable. p( x) q(
More informationHOMOGENEOUS LEAST SQUARES PROBLEM
the Photogrammetrc Jornal of nl, Vol. 9, No., 005 HOMOGENEOU LE QURE PROLEM Kejo Inklä Helsnk Unversty of echnology Laboratory of Photogrammetry Remote ensng P.O.ox 00, IN-005 KK kejo.nkla@tkk.f RC he
More informationBAR & TRUSS FINITE ELEMENT. Direct Stiffness Method
BAR & TRUSS FINITE ELEMENT Drect Stness Method FINITE ELEMENT ANALYSIS AND APPLICATIONS INTRODUCTION TO FINITE ELEMENT METHOD What s the nte element method (FEM)? A technqe or obtanng approxmate soltons
More informationPHYS 705: Classical Mechanics. Calculus of Variations II
1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary
More information12. The Hamilton-Jacobi Equation Michael Fowler
1. The Hamlton-Jacob Equaton Mchael Fowler Back to Confguraton Space We ve establshed that the acton, regarded as a functon of ts coordnate endponts and tme, satsfes ( ) ( ) S q, t / t+ H qpt,, = 0, and
More informationDelhi School of Economics Course 001: Microeconomic Theory Solutions to Problem Set 2.
Delh School of Economcs Corse 00: Mcroeconomc Theor Soltons to Problem Set.. Propertes of % extend to and. (a) Assme x x x. Ths mples: x % x % x ) x % x. Now sppose x % x. Combned wth x % x and transtvt
More informationLectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix
Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could
More informationSalmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2
Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to
More informationLecture 12: Discrete Laplacian
Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly
More informationcoordinates. Then, the position vectors are described by
Revewng, what we have dscussed so far: Generalzed coordnates Any number of varables (say, n) suffcent to specfy the confguraton of the system at each nstant to tme (need not be the mnmum number). In general,
More informationRigid body simulation
Rgd bod smulaton Rgd bod smulaton Once we consder an object wth spacal etent, partcle sstem smulaton s no longer suffcent Problems Problems Unconstraned sstem rotatonal moton torques and angular momentum
More informationELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM
ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look
More informationCanonical transformations
Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,
More informationSCALARS AND VECTORS All physical quantities in engineering mechanics are measured using either scalars or vectors.
SCALARS AND ECTORS All phscal uanttes n engneerng mechancs are measured usng ether scalars or vectors. Scalar. A scalar s an postve or negatve phscal uantt that can be completel specfed b ts magntude.
More informationUnsteady MHD Free Convective Flow Through Porous Media Past on Moving Vertical Plate with Variable Temperature and Viscous Dissipation
ISS 976 4 Avalable onlne at www.nternatonalejornals.com Internatonal ejornals Internatonal ejornal of Mathematcs and Engneerng (7) Vol. 8, Isse, pp Unstead MHD Free Convectve Flow Throgh Poros Meda Past
More informationSE Story Shear Frame. Final Project. 2 Story Bending Beam. m 2. u 2. m 1. u 1. m 3. u 3 L 3. Given: L 1 L 2. EI ω 1 ω 2 Solve for m 2.
SE 8 Fnal Project Story Sear Frame Gven: EI ω ω Solve for Story Bendng Beam Gven: EI ω ω 3 Story Sear Frame Gven: L 3 EI ω ω ω 3 3 m 3 L 3 Solve for Solve for m 3 3 4 3 Story Bendng Beam Part : Determnng
More informationReport on Image warping
Report on Image warpng Xuan Ne, Dec. 20, 2004 Ths document summarzed the algorthms of our mage warpng soluton for further study, and there s a detaled descrpton about the mplementaton of these algorthms.
More information3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X
Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number
More informationSolutions to selected problems from homework 1.
Jan Hagemejer 1 Soltons to selected problems from homeork 1. Qeston 1 Let be a tlty fncton hch generates demand fncton xp, ) and ndrect tlty fncton vp, ). Let F : R R be a strctly ncreasng fncton. If the
More informationFinite Difference Method
7/0/07 Instructor r. Ramond Rump (9) 747 698 rcrump@utep.edu EE 337 Computatonal Electromagnetcs (CEM) Lecture #0 Fnte erence Method Lecture 0 These notes ma contan coprghted materal obtaned under ar use
More informationNew Method for Solving Poisson Equation. on Irregular Domains
Appled Mathematcal Scences Vol. 6 01 no. 8 369 380 New Method for Solvng Posson Equaton on Irregular Domans J. Izadan and N. Karamooz Department of Mathematcs Facult of Scences Mashhad BranchIslamc Azad
More informationBezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0
Bezer curves Mchael S. Floater August 25, 211 These notes provde an ntroducton to Bezer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of the
More informationModule 1 : The equation of continuity. Lecture 1: Equation of Continuity
1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum
More informationWeek3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity
Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle
More informationOne Dimensional Axial Deformations
One Dmensonal al Deformatons In ths secton, a specfc smple geometr s consdered, that of a long and thn straght component loaded n such a wa that t deforms n the aal drecton onl. The -as s taken as the
More informationCHAPTER 4. Vector Spaces
man 2007/2/16 page 234 CHAPTER 4 Vector Spaces To crtcze mathematcs for ts abstracton s to mss the pont entrel. Abstracton s what makes mathematcs work. Ian Stewart The man am of ths tet s to stud lnear
More informationFormal solvers of the RT equation
Formal solvers of the RT equaton Formal RT solvers Runge- Kutta (reference solver) Pskunov N.: 979, Master Thess Long characterstcs (Feautrer scheme) Cannon C.J.: 970, ApJ 6, 55 Short characterstcs (Hermtan
More informationCS 3750 Machine Learning Lecture 6. Monte Carlo methods. CS 3750 Advanced Machine Learning. Markov chain Monte Carlo
CS 3750 Machne Learnng Lectre 6 Monte Carlo methods Mlos Haskrecht mlos@cs.ptt.ed 5329 Sennott Sqare Markov chan Monte Carlo Importance samplng: samples are generated accordng to Q and every sample from
More information( ) G. Narsimlu Department of Mathematics, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, India
VOL. 3, NO. 9, OCTOBER 8 ISSN 89-668 ARPN Jornal of Engneerng and Appled Scences 6-8 Asan Research Pblshng Networ (ARPN). All rghts reserved. www.arpnornals.com SOLUTION OF AN UNSTEADY FLOW THROUGH POROUS
More information5.76 Lecture #21 2/28/94 Page 1. Lecture #21: Rotation of Polyatomic Molecules I
5.76 Lecture # /8/94 Page Lecture #: Rotaton of Polatomc Molecules I A datomc molecule s ver lmted n how t can rotate and vbrate. * R s to nternuclear as * onl one knd of vbraton A polatomc molecule can
More informationStructure and Drive Paul A. Jensen Copyright July 20, 2003
Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.
More informationON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION
Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION
More informationn α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0
MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector
More informationIn this section is given an overview of the common elasticity models.
Secton 4.1 4.1 Elastc Solds In ths secton s gven an overvew of the common elastcty models. 4.1.1 The Lnear Elastc Sold The classcal Lnear Elastc model, or Hooean model, has the followng lnear relatonshp
More informationThe Bellman Equation
The Bellman Eqaton Reza Shadmehr In ths docment I wll rovde an elanaton of the Bellman eqaton, whch s a method for otmzng a cost fncton and arrvng at a control olcy.. Eamle of a game Sose that or states
More informationFUNDAMENTALS OF FINITE DIFFERENCE METHODS
FUNDAMENTALS OF FINITE DIFFERENCE METHODS By, Varn Khatan 3 rd year Undergradate IIT Kanpr Spervsed by, Professor Gatam Bswas, Mechancal Engneerng IIT Kanpr We wll dscss. Classfcaton of Partal Dfferental
More informationPlate Theories for Classical and Laminated plates Weak Formulation and Element Calculations
Plate heores for Classcal and Lamnated plates Weak Formulaton and Element Calculatons PM Mohte Department of Aerospace Engneerng Indan Insttute of echnolog Kanpur EQIP School on Computatonal Methods n
More informationResearch Note NONLINEAR ANALYSIS OF SEMI-RIGID FRAMES WITH RIGID END SECTIONS * S. SEREN AKAVCI **
Iranan Jornal of Scence & Technology, Transacton, Engneerng, Vol., No., pp 7-7 rnted n The Islamc Repblc of Iran, 7 Shraz Unversty Research Note NONLINER NLYSIS OF SEMI-RIGID FRMES WIT RIGID END SECTIONS
More informationRandom Walks on Digraphs
Random Walks on Dgraphs J. J. P. Veerman October 23, 27 Introducton Let V = {, n} be a vertex set and S a non-negatve row-stochastc matrx (.e. rows sum to ). V and S defne a dgraph G = G(V, S) and a drected
More informationBézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0
Bézer curves Mchael S. Floater September 1, 215 These notes provde an ntroducton to Bézer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of
More information9 Characteristic classes
THEODORE VORONOV DIFFERENTIAL GEOMETRY. Sprng 2009 [under constructon] 9 Characterstc classes 9.1 The frst Chern class of a lne bundle Consder a complex vector bundle E B of rank p. We shall construct
More informationPhysics 5153 Classical Mechanics. Principle of Virtual Work-1
P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal
More informationPHYS 705: Classical Mechanics. Newtonian Mechanics
1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]
More informationComposite Hypotheses testing
Composte ypotheses testng In many hypothess testng problems there are many possble dstrbutons that can occur under each of the hypotheses. The output of the source s a set of parameters (ponts n a parameter
More informationComplex Numbers Practice 0708 & SP 1. The complex number z is defined by
IB Math Hgh Leel: Complex Nmbers Practce 0708 & SP Complex Nmbers Practce 0708 & SP. The complex nmber z s defned by π π π π z = sn sn. 6 6 Ale - Desert Academy (a) Express z n the form re, where r and
More information8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS
SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 493 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces you have studed thus far n the text are real vector spaces because the scalars
More informationElshaboury SM et al.; Sch. J. Phys. Math. Stat., 2015; Vol-2; Issue-2B (Mar-May); pp
Elshabour SM et al.; Sch. J. Phs. Math. Stat. 5; Vol-; Issue-B (Mar-Ma); pp-69-75 Scholars Journal of Phscs Mathematcs Statstcs Sch. J. Phs. Math. Stat. 5; (B):69-75 Scholars Academc Scentfc Publshers
More informationEQUATION CHAPTER 1 SECTION 1STRAIN IN A CONTINUOUS MEDIUM
EQUTION HPTER SETION STRIN IN ONTINUOUS MEIUM ontent Introdcton One dmensonal stran Two-dmensonal stran Three-dmensonal stran ondtons for homogenety n two-dmensons n eample of deformaton of a lne Infntesmal
More informationPhysics 181. Particle Systems
Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system
More informationSolution of Linear System of Equations and Matrix Inversion Gauss Seidel Iteration Method
Soluton of Lnear System of Equatons and Matr Inverson Gauss Sedel Iteraton Method It s another well-known teratve method for solvng a system of lnear equatons of the form a + a22 + + ann = b a2 + a222
More informationModule 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:
More informationESS 265 Spring Quarter 2005 Time Series Analysis: Error Analysis
ESS 65 Sprng Qarter 005 Tme Seres Analyss: Error Analyss Lectre 9 May 3, 005 Some omenclatre Systematc errors Reprodcbly errors that reslt from calbraton errors or bas on the part of the obserer. Sometmes
More informationNormally, in one phase reservoir simulation we would deal with one of the following fluid systems:
TPG4160 Reservor Smulaton 2017 page 1 of 9 ONE-DIMENSIONAL, ONE-PHASE RESERVOIR SIMULATION Flud systems The term sngle phase apples to any system wth only one phase present n the reservor In some cases
More informationExact Solutions for Nonlinear D-S Equation by Two Known Sub-ODE Methods
Internatonal Conference on Compter Technology and Scence (ICCTS ) IPCSIT vol. 47 () () IACSIT Press, Sngapore DOI:.7763/IPCSIT..V47.64 Exact Soltons for Nonlnear D-S Eqaton by Two Known Sb-ODE Methods
More informationCHAPTER 6. LAGRANGE S EQUATIONS (Analytical Mechanics)
CHAPTER 6 LAGRANGE S EQUATIONS (Analytcal Mechancs) 1 Ex. 1: Consder a partcle movng on a fxed horzontal surface. r P Let, be the poston and F be the total force on the partcle. The FBD s: -mgk F 1 x O
More informationρ some λ THE INVERSE POWER METHOD (or INVERSE ITERATION) , for , or (more usually) to
THE INVERSE POWER METHOD (or INVERSE ITERATION) -- applcaton of the Power method to A some fxed constant ρ (whch s called a shft), x λ ρ If the egenpars of A are { ( λ, x ) } ( ), or (more usually) to,
More informationApplication to Plane (rigid) frame structure
Advanced Computatonal echancs 18 Chapter 4 Applcaton to Plane rgd frame structure 1. Dscusson on degrees of freedom In case of truss structures, t was enough that the element force equaton provdes onl
More informationInstituto Tecnológico de Aeronáutica FINITE ELEMENTS I. Class notes AE-245
Insttuto Tecnológco de Aeronáutca FIITE ELEMETS I Class notes AE-5 Insttuto Tecnológco de Aeronáutca 5. Isoparametrc Elements AE-5 Insttuto Tecnológco de Aeronáutca ISOPARAMETRIC ELEMETS Introducton What
More informationAPPENDIX A Some Linear Algebra
APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,
More informationNumerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More informationA Quantum Gauss-Bonnet Theorem
A Quantum Gauss-Bonnet Theorem Tyler Fresen November 13, 2014 Curvature n the plane Let Γ be a smooth curve wth orentaton n R 2, parametrzed by arc length. The curvature k of Γ s ± Γ, where the sgn s postve
More informationSolutions to Homework 7, Mathematics 1. 1 x. (arccos x) (arccos x) 1
Solutons to Homework 7, Mathematcs 1 Problem 1: a Prove that arccos 1 1 for 1, 1. b* Startng from the defnton of the dervatve, prove that arccos + 1, arccos 1. Hnt: For arccos arccos π + 1, the defnton
More informationLecture Notes Introduction to Cluster Algebra
Lecture Notes Introducton to Cluster Algebra Ivan C.H. Ip Updated: Ma 7, 2017 3 Defnton and Examples of Cluster algebra 3.1 Quvers We frst revst the noton of a quver. Defnton 3.1. A quver s a fnte orented
More informationVEKTORANALYS. GAUSS s THEOREM and STOKES s THEOREM. Kursvecka 3. Kapitel 6-7 Sidor 51-82
VEKTORANAY Kursvecka 3 GAU s THEOREM and TOKE s THEOREM Kaptel 6-7 dor 51-82 TARGET PROBEM EECTRIC FIED MAGNETIC FIED N + Magnetc monopoles do not est n nature. How can we epress ths nformaton for E and
More informationInner Product. Euclidean Space. Orthonormal Basis. Orthogonal
Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,
More informationU.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017
U.C. Berkeley CS94: Beyond Worst-Case Analyss Handout 4s Luca Trevsan September 5, 07 Summary of Lecture 4 In whch we ntroduce semdefnte programmng and apply t to Max Cut. Semdefnte Programmng Recall that
More information1 GSW Iterative Techniques for y = Ax
1 for y = A I m gong to cheat here. here are a lot of teratve technques that can be used to solve the general case of a set of smultaneous equatons (wrtten n the matr form as y = A), but ths chapter sn
More informationChapter Eight. Review and Summary. Two methods in solid mechanics ---- vectorial methods and energy methods or variational methods
Chapter Eght Energy Method 8. Introducton 8. Stran energy expressons 8.3 Prncpal of statonary potental energy; several degrees of freedom ------ Castglano s frst theorem ---- Examples 8.4 Prncpal of statonary
More informationThree views of mechanics
Three vews of mechancs John Hubbard, n L. Gross s course February 1, 211 1 Introducton A mechancal system s manfold wth a Remannan metrc K : T M R called knetc energy and a functon V : M R called potental
More informationEstimation of homogenized elastic coefficients of pre-impregnated composite materials
Proceedngs of the nd IASME / WSEAS Internatonal Conference on Contnm Mechancs (CM'7) Portoroz Slovena Ma 5-7 7 34 Estmaton of homogenzed elastc coeffcents of pre-mpregnated composte materals HORATIU TEODORESCU
More informationPhysics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1
P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the
More informationComputer Graphics. Curves and Surfaces. Hermite/Bezier Curves, (B-)Splines, and NURBS. By Ulf Assarsson
Compter Graphcs Crves and Srfaces Hermte/Bezer Crves, (B-)Splnes, and NURBS By Ulf Assarsson Most of the materal s orgnally made by Edward Angel and s adapted to ths corse by Ulf Assarsson. Some materal
More informationResource Allocation and Decision Analysis (ECON 8010) Spring 2014 Foundations of Regression Analysis
Resource Allocaton and Decson Analss (ECON 800) Sprng 04 Foundatons of Regresson Analss Readng: Regresson Analss (ECON 800 Coursepak, Page 3) Defntons and Concepts: Regresson Analss statstcal technques
More informationNorms, Condition Numbers, Eigenvalues and Eigenvectors
Norms, Condton Numbers, Egenvalues and Egenvectors 1 Norms A norm s a measure of the sze of a matrx or a vector For vectors the common norms are: N a 2 = ( x 2 1/2 the Eucldean Norm (1a b 1 = =1 N x (1b
More informationInterconnect Modeling
Interconnect Modelng Modelng of Interconnects Interconnect R, C and computaton Interconnect models umped RC model Dstrbuted crcut models Hgher-order waveform n dstrbuted RC trees Accuracy and fdelty Prepared
More informationNumerical Solution of Ordinary Differential Equations
Numercal Methods (CENG 00) CHAPTER-VI Numercal Soluton of Ordnar Dfferental Equatons 6 Introducton Dfferental equatons are equatons composed of an unknown functon and ts dervatves The followng are examples
More informationModelli Clamfim Equazioni differenziali 7 ottobre 2013
CLAMFIM Bologna Modell 1 @ Clamfm Equazon dfferenzal 7 ottobre 2013 professor Danele Rtell danele.rtell@unbo.t 1/18? Ordnary Dfferental Equatons A dfferental equaton s an equaton that defnes a relatonshp
More informationThe Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction
ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also
More informationChapter Twelve. Integration. We now turn our attention to the idea of an integral in dimensions higher than one. Consider a real-valued function f : D
Chapter Twelve Integraton 12.1 Introducton We now turn our attenton to the dea of an ntegral n dmensons hgher than one. Consder a real-valued functon f : R, where the doman s a nce closed subset of Eucldean
More informationχ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body
Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown
More informationChapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems
Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons
More informationModule 3: Element Properties Lecture 1: Natural Coordinates
Module 3: Element Propertes Lecture : Natural Coordnates Natural coordnate system s bascally a local coordnate system whch allows the specfcaton of a pont wthn the element by a set of dmensonless numbers
More informationAdvanced Quantum Mechanics
Advanced Quantum Mechancs Rajdeep Sensarma! sensarma@theory.tfr.res.n ecture #9 QM of Relatvstc Partcles Recap of ast Class Scalar Felds and orentz nvarant actons Complex Scalar Feld and Charge conjugaton
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationLagrange Multipliers. A Somewhat Silly Example. Monday, 25 September 2013
Lagrange Multplers Monday, 5 September 013 Sometmes t s convenent to use redundant coordnates, and to effect the varaton of the acton consstent wth the constrants va the method of Lagrange undetermned
More informationSome modelling aspects for the Matlab implementation of MMA
Some modellng aspects for the Matlab mplementaton of MMA Krster Svanberg krlle@math.kth.se Optmzaton and Systems Theory Department of Mathematcs KTH, SE 10044 Stockholm September 2004 1. Consdered optmzaton
More informationOpen Systems: Chemical Potential and Partial Molar Quantities Chemical Potential
Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,
More informationKinematics in 2-Dimensions. Projectile Motion
Knematcs n -Dmensons Projectle Moton A medeval trebuchet b Kolderer, c1507 http://members.net.net.au/~rmne/ht/ht0.html#5 Readng Assgnment: Chapter 4, Sectons -6 Introducton: In medeval das, people had
More information