REVIEW Lecture 14: Elliptic PDEs, Continued. Parabolic PDEs and Stability

Size: px
Start display at page:

Download "REVIEW Lecture 14: Elliptic PDEs, Continued. Parabolic PDEs and Stability"

Transcription

1 9 Nmrcal Fld Mchancs prng 015 Lctr 15 REIEW Lctr 14: Ellptc PDEs, Contnd Eampls, Hghr ordr fnt dffrncs Irrglar bondars: Drchlt and on Nmann BCs Intrnal bondars Parabolc PDEs and tablty Eplct schms (1D-spac on Nmann Implct schms (1D-spac: smpl and Crank-Ncholson, on Nmann Eampls Etnsons to D and 3D Eplct and Implct schms Altrnatng-Drcton Implct (ADI schms 9 Nmrcal Fld Mchancs PFJL Lctr 15, 1

2 TODAY (Lctr 15: FINITE OLUME METHOD Intgral forms of th consraton laws Introdcton to F Mthods Appromatons ndd and basc lmnts of a F schm F grds: Cll cntrd (Nods or C-facs s Cll rt; trctrd s Unstrctrd Appromaton of srfac ntgrals (ladng to symbolc formlas Appromaton of olm ntgrals (ladng to symbolc formlas mmary: tps to stp-p F schm Eampls: on-dmnsonal ampls Gnrc qatons Lnar Concton (ommrfld qn: conct fls nd ordr n spac, 4 th ordr n spac, lnks to CD Unstady Dffson qaton: dffs fls 9 Two approachs for nd ordr n spac, lnks to CD Nmrcal Fld Mchancs PFJL Lctr 15,

3 Rfrncs and Radng Assgnmnts Chaptr 94 on Th control-olm approach for llptc qatons of Chapra and Canal, Nmrcal Mthods for Engnrs, 014/010/006 Chaptr 4 on Fnt olm Mthods of J H Frzgr and M Prc, Comptatonal Mthods for Fld Dynamcs prngr, NY, 3 rd on, 00 Chaptr 5 on Fnt olm Mthods of H Loma, T H Pllam, DW Zngg, Fndamntals of Comptatonal Fld Dynamcs (cntfc Comptaton prngr, 003 Chaptr 56 on Fnt-olm Mthods of T Cbc, J P hao, F Kafyk and E Larnda, Comptatonal Fld Dynamcs for Engnrs prngr, Nmrcal Fld Mchancs PFJL Lctr 15, 3

4 Intgral Consraton Law for a scalar (from Lctr 8-N d d d d ( n da C q n C n da s d fd fd CM C C C C Adct fls Othr transports (dffson, tc (Ad& dff fls = "conct" fls m of sorcs and snks trms (ractons, tc C, fd ρ,φ s Φ q Applyng th Gass Thorm, for any arbtrary C gs: ( q s t For a common dffs fl modl (Fck s law, Forr s law: q k Consrat form of th PDE ((k k s t 9 Nmrcal Fld Mchancs PFJL Lctr 15, 4

5 trong-consrat form of th Nar-toks Eqatons ( 9 Nmrcal Fld Mchancs PFJL Lctr 15, 5 C, fd s Φ q q ρ,φ p g t g g p p p p p p p p Applyng th Gass Thorm gs: Eqatons ar sad to b n strong consrat form f all trms ha th form of th drgnc of a ctor or a tnsor For th th Cartsan componnt, n th gnral Nwtonan fld cas: ( C C C C C F C d d n da p gd p g d F gd d d ( n da p ( ( n da p ( d d d d ( n da p ( ( n da p ( ( n da p ( ( n da p ( ( n da p ( ( n da p ( ( n da p ( ( n da p ( ( n da p ( ( n da p ( ( n da p ( ( n da p ( C C C F gd C C C C C C C C C C p p p p C C C C C C C C C C C C C C C C C C C C C C C C C C p C C C C p C C C C p C C C C p C C p p p p p p p p F gd p p p p p p p p F g d g d Wth Nwtonan fld + ncomprssbl + constant μ: For any arbtrary C gs: ( 0 p g t g p p p p 0 t Momntm: Mass: 3 t g g Wth Nwtonan fld only: (from Lctr 8-N Cons of Momntm: Cachy Mom Eqn

6 FINITE OLUME METHOD: Introdcton Fnt Dffrnc Mthods ar basd on a dscrtzaton of th dffrntal forms of th consraton qatons Fnt olm Mthods ar basd on a dscrtzaton of th ntgral forms of th consraton qatons: d fd Basc das/stps to st-p a F schm: Grd gnraton (Cs: d ( n da C q n C n da s d C C C C Adct fls (Ad& dff fls = "conct" fls Othr transports (dffson, tc Dd th smlaton doman nto a st of dscrt control olms (Cs For mantnanc of consraton, sally mportant that Cs don t orlap Dscrtz th ntgral/consraton qaton on Cs: atsfy th ntgral form of th consraton law to som dgr of appromaton for ach of th many contgos control olms ol th rsltant dscrt ntgral/fl qatons 9 Nmrcal Fld Mchancs PFJL Lctr 15, 6 fd m of sorcs and snks trms (ractons, tc

7 F METHOD: Introdcton F approach has two man adantags: Ensrs that th dscrtzaton s consrat, locally and globally Mass, Momntm and oftn Enrgy ar consrd n a dscrt sns In gnral, f dscrt qatons ar smmd or all Cs, th global consraton qaton ar rtrd (srfac ntgrals cancl ot Ths local/global consratons can b obtand from Fnt Dffrncs (FDs (strong consrat form, bt thy ar natral/drct for a F formlaton Dos not rqr a coordnat transformaton to b appld to rrglar mshs Can b appld drctly to nstrctrd mshs (arbtrary polyhdra n 3D or polygons n D In or ampls, w wll work wth d s d ( n da q n n da s d n da q n n da ( t ( t ( t ( t whr (t s any dscrt control olm W wll assm for now that thy don t ary n tm: (t= 9 Nmrcal Fld Mchancs PFJL Lctr 15, 7

8 F METHOD ral Appromatons Ndd To ntgrat dscrt C qaton: d A tm-marchng mthod nds to b sd to ntgrat d to th nt tm stp(s d Total fl stmat F s rqrd at th bondary of ach C F n n da ( n da q n da g F = adcton + dffson fls Total sorc trm (sm of sorcs mst b ntgratd or ach C s d Hnc cons qn bcoms: s d d ( n da q n n da s d d d d F n da Ths nds lad to basc lmnts of a F schm, bt w also nd to rlat and 9 Nmrcal Fld Mchancs PFJL Lctr 15, 8

9 F METHOD ral Appromatons Ndd, Cont d Tm-marchng mthod for C qaton: Th arag of or a C cll, d, satsfs for fd n tm 1 d F n da Hnc, aftr dscrt tm-ntgraton, w wold ha pdatd th cll-aragd qantts For th total fl stmat F at C bondary: Rconstrcton of from Fls ar fnctons of => to alat thm, w nd to rprsnt wthn th cll Ths can b don by a pc-ws appromaton whch, whn aragd or th C, gs back Bt, ach cll has a dffrnt pc-ws appromaton => fls at bondars can b dscontnos Two ampl of rmds: Tak th arag of ths fls (ths s a non-dsspat schm, analogos to cntral dffrncs 9 Fl-dffrnc splttng Nmrcal Fld Mchancs PFJL Lctr 15, 9 d F n da d d 1 (snc d ( d

10 F METHOD Basc Elmnts of F chm 1 Gn for ach C, constrct an appromaton to (, y, z n ach C and alat fls F (,y,z Fnd at th bondary sng ths appromaton, alat fls F Ths gnrally lads to two dstnct als of th fl for ach sd of th bondary Apply som stratgy to rsol th fl dscontnty at th C bondary to prodc a sngl F or th whol bondary F n da 3 Intgrat th fls F to obtan n da : rfac Intgrals 4 Compt by ntgraton or ach C: olm Intgrals 5 Adanc th solton n tm to obtan th nw als of d F n da 9 Nmrcal Fld Mchancs PFJL Lctr 15, 10 Tm-Marchng

11 Dffrnt Typs of F Grds Usal approach (sd hr: Dfn Cs by a stabl grd Assgn comptatonal nod to C cntr Adantags: nodal als wll rprsnt th man or th C at hgh(r accracy (scond ordr snc nod s cntrod of C Othr approach: Dfn nodal locatons frst Constrct Cs arond thm (so that C facs l mdway btwn nods Adantag: CD appromatons of drats (fls at bondars ar mor accrat (facs ar mdway btwn two nods Nod Cntrd C-Facs Cntrd 9 Nmrcal Fld Mchancs PFJL Lctr 15, 11

12 Dffrnt Typs of F Grds, Cont d Othr spcalzd arants Cll cntrd s Cll rt trctrd: All msh ponts l on ntrscton two/thr lns s Unstrctrd: Mshs formd of tranglar or qadrlatral clls n D, or ttrahdra or pyramds n 3D Clls ar dntfd by thr nmbrs (can not b ndntfd by coordnat lns, g, Rmarks Dscrtzaton prncpls th sam for all grd arants prngr All rghts rsrd Ths contnt s cldd from or Crat Commons lcns For mor nformaton, s orc: Cbc, T, J hao, t al Comptatonal Fld Dynamcs for Engnrs: From Panl to Nar-toks Mthods wth Comptr Programs prngr, 005 => For now, w work wth (a: Cll cntrd (, s th cntr of th cll, smlar to FD In 3D, a cll has a fnt olm (for trdd msh, gn dstanc to plan s sd bhas as D What changs ar th rlatons btwn aros locatons on th grd and accracs 9 Nmrcal Fld Mchancs PFJL Lctr 15, 1

13 Appromaton of rfac Intgrals Typcal (cll cntrd D and 3D Cartsan C (s conntons on fgs Total/Nt fl throgh C bondary s sm of ntgrals or for (D or s (3D facs: F n da f da k k for now, w wll consdr a sngl typcal C srfac, th on labld To compt srfac ntgral, s ndd rywhr on srfac, bt only known at nodal (C cntr als => two sccss appromatons ndd: Intgral stmatd basd on als at on or mor locatons on th cll fac Ths cll facs als appromatd n trms of nodal als 9 Nmrcal Fld Mchancs PFJL Lctr 15, 13 z k y y +1 y y -1 y WW NW W W W nw w sw N n n P n s s NE E y E n W s Notaton sd for a Cartsan D and 3D grd Imag by MIT OpnCorsWar b n t P B T n EE y n N E z

14 Appromaton of rfac Intgrals, Cont d 1D srfacs (D C Goal: stmat mplst appromaton: mdpont rl ( nd ordr F F s appromatd as a prodct of th ntgrand at cll-fac cntr (tslf appromaton of man al or srfac and th cll-fac ara f da y y +1 y y -1 WW NW W W nw w sw N n n P s s n NE E y E Notaton sd for a Cartsan D and 3D grd Imag by MIT OpnCorsWar EE F f da f f O y f ( f ( y f ( y f '( y f ''( y R y y! nc f s not aalabl, t has to b obtand by ntrpolaton Has to b comptd wth nd ordr accracy to prsr accracy of mdpont rl 9 Nmrcal Fld Mchancs PFJL Lctr 15, 14

15 Appromaton of rfac Intgrals, Cont d Goal: stmat F f da y +1 NW N NE Anothr nd ordr appromaton: Trapzod rl F s appromatd as: ( fn fs F f da O y ( y y -1 nw n n WW W w P sw s s E EE y y W E Notaton sd for a Cartsan D and 3D grd Imag by MIT OpnCorsWar n 9 In ths cas, t s th fls at th cornrs f n and f s that nd to b obtand by ntrpolaton Ha to b comptd wth nd ordr accracy to prsr accracy Hghr-ordr appromaton of srfac ntgrals rqr mor than ponts / locatons on th cll-fac mpson s rl (4 th ordr appromaton: als ndd at 3 locatons To kp accracy of ntgral: g s cbc polynomals to stmat ths als from P s narby Nmrcal Fld Mchancs ( fn 4 f fs F f da O y 6 4 ( PFJL Lctr 15, 15

16 Appromaton of rfac Intgrals, Cont d D srfac (for 3D problms Goal: stmat F f da for 3D C T mplst appromaton: stll th mdpont rl ( nd ordr F s appromatd as: F f da f O y z (, Hghr-ordr appromaton (rqr als lswhr g at rtcs possbl bt mor complcatd to mplmnt for 3D C Intgraton asy f araton of f or D srfac s assmd to ha spcfc asy shap to ntgrat g assm D polynomal ntrpolaton or srfac, thn complt (symbolc ntgraton z k y W n W s Notaton sd for a Cartsan D and 3D grd Imag by MIT OpnCorsWar b n t P B n y n N E z 9 Nmrcal Fld Mchancs PFJL Lctr 15, 16

17 Appromaton of OLUME Intgrals Goal: stmat mplst appromaton: prodct of C s olm wth th man al of th ntgrand (appromatd by th al at th cntr of th nod P 1 s d d y +1 y y -1 y WW NW N nw n n W w P NE n E y sw s s W E T EE P appromatd as: n t N s d s s P P P Eact f s p s constant or lnar wthn C nd ordr accrat othrws Hghr ordr appromaton rqr mor locatons than st th cntr z k y W n W s Notaton sd for a Cartsan D and 3D grd Imag by MIT OpnCorsWar b P B n y n E z 9 Nmrcal Fld Mchancs PFJL Lctr 15, 17

18 Appromaton of OLUME Intgrals Goal: stmat Hghr ordr appromatons: Rqrs als at othr locatons than P Obtand thr by ntrpolatng nghbor nodal als or by sng shap fnctons/ polynomals Consdr D cas (olm ntgral s a srfac ntgral sng shap fnctons B-qadratc shap fncton lads to a 4 th ordr appromaton (9 coffcnts 9 coffcnts obtand by fttng s(,y to 9 nod locatons (cntr, cornrs, mddls For Cartsan grd, ths gs: 9 1 s d d s(, y a a a y a a y a y a y a y a y a3 a4 a8 P s d y 0 a y y Only 4 coffcnts a (lnar dpndncs cancl, bt th a stll dpnd on th 9 nodal als y +1 y -1 Nmrcal Fld Mchancs y y WW NW W W nw w sw N n n P s n NE E y E Notaton sd for a Cartsan D and 3D grd Imag by MIT OpnCorsWar s EE PFJL Lctr 15, 18

19 Appromaton of OLUME Intgrals, Cont d D and 3D D cas ampl, Cont d For a nform Cartsan grd, on obtans th D ntgral as a fncton of th 9 nodal als: y P s d 16sP 4ss 4sn 4sw 4s ss ssw sn snw 36 nc only al at nod P s aalabl, on mst ntrpolat to obtan als at th nodal locatons on th srfac Has to b at last 4 th ordr accrat ntrpolaton to rtan ordr of ntgral appromaton 3D cas: Tchnqs ar smlar to D cas: abo 4 th ordr appro drctly tndd For Hghr Ordr Intgral appromaton formlas ar mor compl Intrpolaton of nod als ar mor compl 9 Nmrcal Fld Mchancs PFJL Lctr 15, 19

20 Appro of rfac/olm Intgrals: Classc symbolc formlas rfac Intgrals 9 D problms (1D srfac ntgrals Mdpont rl ( nd ordr: Trapzod rl ( nd ordr: mpson s rl (4 th ordr: 3D problms (D srfac ntgrals Mdpont rl ( nd ordr: Hghr ordr mor complcatd to mplmnt n 3D olm Intgrals: D/3D problms, Mdpont rl ( nd ordr: D, b-qadratc (4 th ordr, Cartsan: F f da F f da f f O y f ( ( fn fs F f da O( y ( fn 4 f fs 4 F f da O( y 6 F f da f O y z 1 s d, d (, s d s s P P P y P 16sP 4ss 4sn 4sw 4s ss ssw sn snw 36 Nmrcal Fld Mchancs PFJL Lctr 15, 0

21 mmary: 3 basc stps to st-p a F schm Grd gnraton ( crat Cs Dscrtz ntgral/consraton qaton on Cs d Ths ntgral qn s: F n da d Whch bcoms for fd n tm: F n da whr 1 d and s d Ths mpls: Th dscrt stat arabls ar th aragd als or ach cll (C: P 's Nd rls to compt srfac/olm ntgrals as a fncton of wthn C Ealat ntgrals as a fncton of als at ponts on and nar C/C Nd to ntrpolat to obtan ths als from aragd als P 's of narby Cs Othr approach: mpos pc-ws fncton wthn C, nsrs that t satsfs ' s P constrants, thn alat ntgrals (srfac and olm W s ths n th ampls nt lct schm to rsol/addrss dscontnts ol rsltant dscrt ntgral/fl qns: (Lnar algbrac systm for P 's 9 Nmrcal Fld Mchancs PFJL Lctr 15, 1

22 On-Dmnsonal Eampls: Gnrc 1D F Grd gnraton (fd Cs -1/ +1/ Consdr qspacd grd: = Δ Control olm tnds from - Δ/ to Bondary (srfac als ar: ( 1/ 1/ +Δ/ Bondary total fls (conct+dffs ar: f L R L R Imag by MIT OpnCorsWar f( 1/ 1/ Arag cll and sorc als: 1 1 1/ ( t d (, t d 1/ Dscrtz gnrc ntgral/consraton qaton on Cs d F n Th ntgral form F n da bcoms: d 1/ f 1/ f 1/ s (, t d 1/ t s d s t d ( 1/ (, 1/ 9 Nmrcal Fld Mchancs PFJL Lctr 15,

23 On-Dmnsonal Eampls, Cont d Not: Cll-arag s Cntr al Wth ξ= and a Taylor srs panson 1 1/ ( t (, 1/ t d 1 / R d / / L R +1/ +1 + L R O 4 4 ( Imag by MIT OpnCorsWar ( t O( Ths: cll-arag al and cntr al dffr only by scond ordr trm 9 Nmrcal Fld Mchancs PFJL Lctr 15, 3

24 On-Dmnsonal Eampl I Lnar Concton (ommrfld Eqn: Wth concton only, or gnrc 1D qn d 1/ f 1/ f 1/ s (, t d 1/ bcoms: d f 1/ f 1/ 0 (, t c(, t t Compt srfac/olm ntgrals as a fncton of wthn C Hr mpos/choos frst pcws-constant appromaton to (: ( 1/ 1/ Ths gs smpl fl trms Th only ss s that thy dffr dpndng on th cll from whch th fl s comptd: L L R R f 1/ f ( 1/ c 1 f 1/ f ( 1/ c - -1 R R f f ( c f 1/ f ( 1/ c 1 L L 1/ 1/ -1/ L R +1/ +1 + L R 0 Imag by MIT OpnCorsWar 9 Nmrcal Fld Mchancs PFJL Lctr 15, 4

25 On-Dmnsonal Eampl I Lnar Concton (ommrfld Eqn, Cont d Now, w ha obtand th fls at th C bondars n trms of th C-aragd als W nd to rsol th fl dscontnty => arag als of th fls on thr sd, ladng th ( nd ordr stmats: fˆ 1/ L R f 1/ f 1/ c 1 c L R 1/ 1/ 1 bsttt nto ntgral qaton Wth prodc BCs, storng all cll-aragd als nto a ctor fˆ 1/ f f c c d d d ˆ ˆ c c c c f 1/ f 1/ f 1/ f 1/ d c c 0 d Φ c BP( 1,0,1 Φ 0 (whr B P s a crclant tr-dagonal matr, P for prodc Φ 9 Nmrcal Fld Mchancs PFJL Lctr 15, 5

26 MIT OpnCorsWar 9 Nmrcal Fld Mchancs prng 015 For nformaton abot ctng ths matrals or or Trms of Us, st:

Variational Approach in FEM Part II

Variational Approach in FEM Part II COIUUM & FIIE ELEME MEHOD aratonal Approach n FEM Part II Prof. Song Jn Par Mchancal Engnrng, POSECH Fnt Elmnt Mthod vs. Ralgh-Rtz Mthod On wants to obtan an appromat solton to mnmz a fnctonal. On of th

More information

Math 656 March 10, 2011 Midterm Examination Solutions

Math 656 March 10, 2011 Midterm Examination Solutions Math 656 March 0, 0 Mdtrm Eamnaton Soltons (4pts Dr th prsson for snh (arcsnh sng th dfnton of snh w n trms of ponntals, and s t to fnd all als of snh (. Plot ths als as ponts n th compl plan. Mak sr or

More information

8-node quadrilateral element. Numerical integration

8-node quadrilateral element. Numerical integration Fnt Elmnt Mthod lctur nots _nod quadrlatral lmnt Pag of 0 -nod quadrlatral lmnt. Numrcal ntgraton h tchnqu usd for th formulaton of th lnar trangl can b formall tndd to construct quadrlatral lmnts as wll

More information

Lecture 08 Multiple View Geometry 2. Prof. Dr. Davide Scaramuzza

Lecture 08 Multiple View Geometry 2. Prof. Dr. Davide Scaramuzza Lctr 8 Mltpl V Gomtry Prof. Dr. Dad Scaramzza sdad@f.zh.ch Cors opcs Prncpls of mag formaton Imag fltrng Fatr dtcton Mlt- gomtry 3D Rconstrcton Rcognton Mltpl V Gomtry San Marco sqar, Vnc 4,79 mags, 4,55,57

More information

REVIEW Lecture 16: Finite Volume Methods

REVIEW Lecture 16: Finite Volume Methods 2.29 Numrcal Flud Mchancs prng 2015 Lctur 17 REVIEW Lctur 16: Fnt Volum Mthods Rvw: Basc lmnts of a FV schm and stps to stp-up a FV schm On Dmnsonal xampls d x j x j1/2 Gnrc quaton: Lnar Convcton (ommrfld

More information

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION CHAPTER 7d. DIFFERENTIATION AND INTEGRATION A. J. Clark School o Engnrng Dpartmnt o Cvl and Envronmntal Engnrng by Dr. Ibrahm A. Assakka Sprng ENCE - Computaton Mthods n Cvl Engnrng II Dpartmnt o Cvl and

More information

Static/Dynamic Deformation with Finite Element Method. Graphics & Media Lab Seoul National University

Static/Dynamic Deformation with Finite Element Method. Graphics & Media Lab Seoul National University Statc/Dynamc Dormaton wth Fnt Elmnt Mthod Graphcs & Mda Lab Sol Natonal Unvrsty Statc/Dynamc Dormaton Statc dormaton Dynamc dormaton ndormd shap ntrnal + = nrta = trnal dormd shap statc qlbrm dynamc qlbrm

More information

The Hyperelastic material is examined in this section.

The Hyperelastic material is examined in this section. 4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):

More information

Finite Element Method for Turbomachinery Flows

Finite Element Method for Turbomachinery Flows SOCRATES Tachng Staff Moblty Program 2000-200 DMA-URLS Fnt Elmnt Mthod for Trbomachnry Flos Alssandro Corsn Dpartmnto d Mccanca Aronatca, Unvrsty of Rom "La Sapnza" BUDAPEST Unvrsty of Tchnology and Economcs

More information

The Penalty Cost Functional for the Two-Dimensional Energized Wave Equation

The Penalty Cost Functional for the Two-Dimensional Energized Wave Equation Lonardo Jornal of Scncs ISSN 583-033 Iss 9, Jly-Dcmbr 006 p. 45-5 Th Pnalty Cost Fnctonal for th Two-Dmnsonal Enrgd Wav Eqaton Vctor Onoma WAZIRI, Snday Agsts REJU Mathmatcs/Comptr Scnc dpartmnt, Fdral

More information

AE/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. 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 information

THE APPLICATION OF THE BOUNDARY ELEMENT METHOD TO SOLVE VISCOUS FLOW PROBLEMS BASED ON PRIMITIVE VARIABLES FORMULATION

THE APPLICATION OF THE BOUNDARY ELEMENT METHOD TO SOLVE VISCOUS FLOW PROBLEMS BASED ON PRIMITIVE VARIABLES FORMULATION TE APPCATON OF TE BOUNARY EEMENT METO TO SOVE VSCOUS FO PROBEMS BASE ON PRMTVE VARABES FORMUATON M. F. C.. Santos UNESP - Facldad d Engnhara d aratngtá A. r. Arbrto Prra da Cnha, 333.56-40 - aratngtá -

More information

Lecture 23 APPLICATIONS OF FINITE ELEMENT METHOD TO SCALAR TRANSPORT PROBLEMS

Lecture 23 APPLICATIONS OF FINITE ELEMENT METHOD TO SCALAR TRANSPORT PROBLEMS COMPUTTION FUID DYNMICS: FVM: pplcatons to Scalar Transport Prolms ctur 3 PPICTIONS OF FINITE EEMENT METHOD TO SCR TRNSPORT PROBEMS 3. PPICTION OF FEM TO -D DIFFUSION PROBEM Consdr th stady stat dffuson

More information

Numerical solutions of fuzzy partial differential equations and its applications in computational mechanics. Andrzej Pownuk1

Numerical solutions of fuzzy partial differential equations and its applications in computational mechanics. Andrzej Pownuk1 mrcal soltons of fzzy partal dffrntal qatons and ts applcatons n comptatonal mcancs Abstract Andrz Pownk Car of Tortcal Mcancs Dpartmnt of Cvl Engnrng Slsan Unvrsty of Tcnology Calclaton of t solton of

More information

TMMI37, vt2, Lecture 8; Introductory 2-dimensional elastostatics; cont.

TMMI37, vt2, Lecture 8; Introductory 2-dimensional elastostatics; cont. Lctr 8; ntrodctor 2-dimnsional lastostatics; cont. (modifid 23--3) ntrodctor 2-dimnsional lastostatics; cont. W will now contin or std of 2-dim. lastostatics, and focs on a somwhat mor adancd lmnt thn

More information

ANALYTICITY THEOREM FOR FRACTIONAL LAPLACE TRANSFORM

ANALYTICITY THEOREM FOR FRACTIONAL LAPLACE TRANSFORM Sc. Rs. hm. ommn.: (3, 0, 77-8 ISSN 77-669 ANALYTIITY THEOREM FOR FRATIONAL LAPLAE TRANSFORM P. R. DESHMUH * and A. S. GUDADHE a Prof. Ram Mgh Insttt of Tchnology & Rsarch, Badnra, AMRAVATI (M.S. INDIA

More information

Jones vector & matrices

Jones vector & matrices Jons vctor & matrcs PY3 Colást na hollscol Corcagh, Ér Unvrst Collg Cork, Irland Dpartmnt of Phscs Matr tratmnt of polarzaton Consdr a lght ra wth an nstantanous -vctor as shown k, t ˆ k, t ˆ k t, o o

More information

From Structural Analysis to FEM. Dhiman Basu

From Structural Analysis to FEM. Dhiman Basu From Structural Analyss to FEM Dhman Basu Acknowldgmnt Followng txt books wr consultd whl prparng ths lctur nots: Znkwcz, OC O.C. andtaylor Taylor, R.L. (000). Th FntElmnt Mthod, Vol. : Th Bass, Ffth dton,

More information

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari snbrg Modl Sad Mohammad Mahd Sadrnhaad Survsor: Prof. bdollah Langar bstract: n ths rsarch w tr to calculat analtcall gnvalus and gnvctors of fnt chan wth ½-sn artcls snbrg modl. W drov gnfuctons for closd

More information

Fourier Transform: Overview. The Fourier Transform. Why Fourier Transform? What is FT? FT of a pulse function. FT maps a function to its frequencies

Fourier Transform: Overview. The Fourier Transform. Why Fourier Transform? What is FT? FT of a pulse function. FT maps a function to its frequencies .5.3..9.7.5.3. -. -.3 -.5.8.6.4. -. -.4 -.6 -.8 -. 8. 6. 4. -. -. 4 -. 6 -. 8 -.8.6.4. -. -.4 -.6 -.8 - orr Transform: Ovrvw Th orr Transform Wh T s sfl D T, DT, D DT T proprts Lnar ltrs Wh orr Transform?

More information

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline Introucton to Ornar Dffrntal Equatons Sptmbr 7, 7 Introucton to Ornar Dffrntal Equatons Larr artto Mchancal Engnrng AB Smnar n Engnrng Analss Sptmbr 7, 7 Outln Rvw numrcal solutons Bascs of ffrntal quatons

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

The Fourier Transform

The Fourier Transform /9/ Th ourr Transform Jan Baptst Josph ourr 768-83 Effcnt Data Rprsntaton Data can b rprsntd n many ways. Advantag usng an approprat rprsntaton. Eampls: osy ponts along a ln Color spac rd/grn/blu v.s.

More information

7 Finite element methods for the Euler Bernoulli beam problem

7 Finite element methods for the Euler Bernoulli beam problem 7 Fnt lmnt mtods for t Eulr Brnoull bam problm CIV-E6 Engnrng Computaton and Smulaton Contnts. Modllng prncpls and boundary alu problms n ngnrng scncs. Bascs of numrcal ntgraton and dffrntaton 3. Basc

More information

Study of Dynamic Aperture for PETRA III Ring K. Balewski, W. Brefeld, W. Decking, Y. Li DESY

Study of Dynamic Aperture for PETRA III Ring K. Balewski, W. Brefeld, W. Decking, Y. Li DESY Stud of Dnamc Aprtur for PETRA III Rng K. Balws, W. Brfld, W. Dcng, Y. L DESY FLS6 Hamburg PETRA III Yong-Jun L t al. Ovrvw Introducton Dnamcs of dampng wgglrs hoc of machn tuns, and optmzaton of stupol

More information

Introduction. Nomenclature. Statement of the Problem

Introduction. Nomenclature. Statement of the Problem R. G. R. Camacho and. R. Barbosa R. G. R. Camacho and. R. Barbosa Insttto cnológco d Aronátca 8-9 São osé dos Campos, S. Brazl ramrz@ta.br rgramrz65@hotmal.com barbosa@ta.br h Bondar Elmnt Mthod Appld

More information

First looking at the scalar potential term, suppose that the displacement is given by u = φ. If one can find a scalar φ such that u = φ. u x.

First looking at the scalar potential term, suppose that the displacement is given by u = φ. If one can find a scalar φ such that u = φ. u x. 7.4 Eastodynams 7.4. Propagaton of Wavs n East Sods Whn a strss wav travs throgh a matra, t ass matra parts to dspa by. It an b shown that any vtor an b wrttn n th form φ + ra (7.4. whr φ s a saar potnta

More information

Lecture 3: Phasor notation, Transfer Functions. Context

Lecture 3: Phasor notation, Transfer Functions. Context EECS 5 Fall 4, ctur 3 ctur 3: Phasor notaton, Transfr Functons EECS 5 Fall 3, ctur 3 Contxt In th last lctur, w dscussd: how to convrt a lnar crcut nto a st of dffrntal quatons, How to convrt th st of

More information

Math 656 Midterm Examination March 27, 2015 Prof. Victor Matveev

Math 656 Midterm Examination March 27, 2015 Prof. Victor Matveev Math 656 Mdtrm Examnatn March 7, 05 Prf. Vctr Matvv ) (4pts) Fnd all vals f n plar r artsan frm, and plt thm as pnts n th cmplx plan: (a) Snc n-th rt has xactly n vals, thr wll b xactly =6 vals, lyng n

More information

Soft k-means Clustering. Comp 135 Machine Learning Computer Science Tufts University. Mixture Models. Mixture of Normals in 1D

Soft k-means Clustering. Comp 135 Machine Learning Computer Science Tufts University. Mixture Models. Mixture of Normals in 1D Comp 35 Machn Larnng Computr Scnc Tufts Unvrsty Fall 207 Ron Khardon Th EM Algorthm Mxtur Modls Sm-Suprvsd Larnng Soft k-mans Clustrng ck k clustr cntrs : Assocat xampls wth cntrs p,j ~~ smlarty b/w cntr

More information

The Finite Element Method. Jerzy Podgórski

The Finite Element Method. Jerzy Podgórski Th Fnt Elmnt Mthod Jr Podgórs Novmbr 8 Introdcton Ths boo dals wth th s of th fnt lmnt mthod (FEM s an abbrvaton for th Fnt Elmnts Mthod or FEA for Fnt Elmnts Analss) to solv lnar problms of sold mchancs.

More information

FEM FOR HEAT TRANSFER PROBLEMS دانشگاه صنعتي اصفهان- دانشكده مكانيك

FEM FOR HEAT TRANSFER PROBLEMS دانشگاه صنعتي اصفهان- دانشكده مكانيك FEM FOR HE RNSFER PROBLEMS 1 Fild problms Gnral orm o systm quations o D linar stady stat ild problms: For 1D problms: D D g Q y y (Hlmholtz quation) d D g Q d Fild problms Hat transr in D in h h ( D D

More information

Review - Probabilistic Classification

Review - Probabilistic Classification Mmoral Unvrsty of wfoundland Pattrn Rcognton Lctur 8 May 5, 6 http://www.ngr.mun.ca/~charlsr Offc Hours: Tusdays Thursdays 8:3-9:3 PM E- (untl furthr notc) Gvn lablld sampls { ɛc,,,..., } {. Estmat Rvw

More information

Collisions between electrons and ions

Collisions between electrons and ions DRAFT 1 Collisions btwn lctrons and ions Flix I. Parra Rudolf Pirls Cntr for Thortical Physics, Unirsity of Oxford, Oxford OX1 NP, UK This rsion is of 8 May 217 1. Introduction Th Fokkr-Planck collision

More information

Fundamentals of Continuum Mechanics. Seoul National University Graphics & Media Lab

Fundamentals of Continuum Mechanics. Seoul National University Graphics & Media Lab Fndmntls of Contnm Mchncs Sol Ntonl Unvrsty Grphcs & Md Lb Th Rodmp of Contnm Mchncs Strss Trnsformton Strn Trnsformton Strss Tnsor Strn T + T ++ T Strss-Strn Rltonshp Strn Enrgy FEM Formlton Lt s Stdy

More information

2.29 Numerical Fluid Mechanics Spring 2015 Lecture 10

2.29 Numerical Fluid Mechanics Spring 2015 Lecture 10 REVIEW Lectre 9: Nmercal Fld Mechancs Srng 015 Lectre 10 End of (Lnear Algebrac Systems Gradent Methods Krylo Sbsace Methods Precondtonng of A=b FINITE DIFFERENCES Classfcaton of Partal Dfferental Eqatons

More information

OUTLINE FOR Chapter 2-2. Basic Laws

OUTLINE FOR Chapter 2-2. Basic Laws 0//8 OUTLINE FOR Chapr - AERODYNAMIC W-- Basc Laws Analss of an problm n fld mchancs ncssarl nclds samn of h basc laws gornng h fld moon. Th basc laws, whch applcabl o an fld, ar: Consraon of mass Conn

More information

Folding of Regular CW-Complexes

Folding of Regular CW-Complexes Ald Mathmatcal Scncs, Vol. 6,, no. 83, 437-446 Foldng of Rgular CW-Comlxs E. M. El-Kholy and S N. Daoud,3. Dartmnt of Mathmatcs, Faculty of Scnc Tanta Unvrsty,Tanta,Egyt. Dartmnt of Mathmatcs, Faculty

More information

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns Summary: Solvng a Homognous Sysm of Two Lnar Frs Ordr Equaons n Two Unknowns Gvn: A Frs fnd h wo gnvalus, r, and hr rspcv corrspondng gnvcors, k, of h coffcn mar A Dpndng on h gnvalus and gnvcors, h gnral

More information

Higher-Order Discrete Calculus Methods

Higher-Order Discrete Calculus Methods Highr-Ordr Discrt Calculus Mthods J. Blair Prot V. Subramanian Ralistic Practical, Cost-ctiv, Physically Accurat Paralll, Moving Msh, Complx Gomtry, Slid 1 Contxt Discrt Calculus Mthods Finit Dirnc Mimtic

More information

Finite element discretization of Laplace and Poisson equations

Finite element discretization of Laplace and Poisson equations Finit lmnt discrtization of Laplac and Poisson quations Yashwanth Tummala Tutor: Prof S.Mittal 1 Outlin Finit Elmnt Mthod for 1D Introduction to Poisson s and Laplac s Equations Finit Elmnt Mthod for 2D-Discrtization

More information

ON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS

ON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS MATEMATICA MONTISNIRI Vol XL (2017) MATEMATICS ON TE COMPLEXITY OF K-STEP AN K-OP OMINATIN SETS IN RAPS M FARAI JALALVAN AN N JAFARI RA partmnt of Mathmatcs Shahrood Unrsty of Tchnology Shahrood Iran Emals:

More information

Hydrogen Atom and One Electron Ions

Hydrogen Atom and One Electron Ions Hydrogn Atom and On Elctron Ions Th Schrödingr quation for this two-body problm starts out th sam as th gnral two-body Schrödingr quation. First w sparat out th motion of th cntr of mass. Th intrnal potntial

More information

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt

More information

Background: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals.

Background: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals. Chaptr 7 Th Hydrogn Atom Background: W hav discussd th PIB HO and th nrgy of th RR modl. In this chaptr th H-atom and atomic orbitals. * A singl particl moving undr a cntral forc adoptd from Scott Kirby

More information

6 Finite element methods for the Euler Bernoulli beam problem

6 Finite element methods for the Euler Bernoulli beam problem 6 Fnt lmnt mtods for t Eulr Brnoull bam problm Rak-54.3 Numrcal Mtods n Structural Engnrng Contnts. Modllng prncpls and boundary valu problms n ngnrng scncs. Enrgy mtods and basc D fnt lmnt mtods - bars/rods

More information

A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex.

A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex. Lnr lgr Vctors gnrl -dmnsonl ctor conssts of lus h cn rrngd s column or row nd cn rl or compl Rcll -dmnsonl ctor cn rprsnt poston, loct, or cclrton Lt & k,, unt ctors long,, & rspctl nd lt k h th componnts

More information

A FE Method for the Computational Fluid Dynamics of Turbomachinery

A FE Method for the Computational Fluid Dynamics of Turbomachinery SOCRATES Tachng Staff Moblty Program 999-000 DMA-URLS Lctur not on A FE Mthod for th Computatonal Flud Dynamcs of Turbomachnry Alssandro Corsn Dpartmnto d Mccanca Aronautca Unvrsty of Rom La Sapnza - Octobr

More information

Differential Equations

Differential Equations UNIT I Diffrntial Equations.0 INTRODUCTION W li in a world of intrrlatd changing ntitis. Th locit of a falling bod changs with distanc, th position of th arth changs with tim, th ara of a circl changs

More information

20th International Congress of Mechanical Engineering

20th International Congress of Mechanical Engineering Procdngs of COBE 9 Corght 9 b ABC th Intrnatona Congrss of chanca Engnrng Nombr 5-9 Gramado Braz EXTENION OF THE UNTUCTUED AGOITH OF IOU AND TEFFEN J. AND OF ADEPIE AND KO TO ECOND ODE ACCUACY EPOYING

More information

A Note on Estimability in Linear Models

A Note on Estimability in Linear Models Intrnatonal Journal of Statstcs and Applcatons 2014, 4(4): 212-216 DOI: 10.5923/j.statstcs.20140404.06 A Not on Estmablty n Lnar Modls S. O. Adymo 1,*, F. N. Nwob 2 1 Dpartmnt of Mathmatcs and Statstcs,

More information

Polytropic Process. A polytropic process is a quasiequilibrium process described by

Polytropic Process. A polytropic process is a quasiequilibrium process described by Polytropc Procss A polytropc procss s a quasqulbrum procss dscrbd by pv n = constant (Eq. 3.5 Th xponnt, n, may tak on any valu from to dpndng on th partcular procss. For any gas (or lqud, whn n = 0, th

More information

Basic Electrical Engineering for Welding [ ] --- Introduction ---

Basic Electrical Engineering for Welding [ ] --- Introduction --- Basc Elctrcal Engnrng for Wldng [] --- Introducton --- akayosh OHJI Profssor Ertus, Osaka Unrsty Dr. of Engnrng VIUAL WELD CO.,LD t-ohj@alc.co.jp OK 15 Ex. Basc A.C. crcut h fgurs n A-group show thr typcal

More information

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA NE APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA Mirca I CÎRNU Ph Dp o Mathmatics III Faculty o Applid Scincs Univrsity Polithnica o Bucharst Cirnumirca @yahoocom Abstract In a rcnt papr [] 5 th indinit intgrals

More information

3 Finite Element Parametric Geometry

3 Finite Element Parametric Geometry 3 Finit Elmnt Paramtric Gomtry 3. Introduction Th intgral of a matrix is th matrix containing th intgral of ach and vry on of its original componnts. Practical finit lmnt analysis rquirs intgrating matrics,

More information

10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D

10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D Comp 35 Introducton to Machn Larnng and Data Mnng Fall 204 rofssor: Ron Khardon Mxtur Modls Motvatd by soft k-mans w dvlopd a gnratv modl for clustrng. Assum thr ar k clustrs Clustrs ar not rqurd to hav

More information

MEMBRANE ELEMENT WITH NORMAL ROTATIONS

MEMBRANE 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 information

a 1and x is any real number.

a 1and x is any real number. Calcls Nots Eponnts an Logarithms Eponntial Fnction: Has th form y a, whr a 0, a an is any ral nmbr. Graph y, Graph y ln y y Th Natral Bas (Elr s nmbr): An irrational nmbr, symboliz by th lttr, appars

More information

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn.

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn. Modul 10 Addtonal Topcs 10.1 Lctur 1 Prambl: Dtrmnng whthr a gvn ntgr s prm or compost s known as prmalty tstng. Thr ar prmalty tsts whch mrly tll us whthr a gvn ntgr s prm or not, wthout gvng us th factors

More information

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula 7. Intgration by Parts Each drivativ formula givs ris to a corrsponding intgral formula, as w v sn many tims. Th drivativ product rul yilds a vry usful intgration tchniqu calld intgration by parts. Starting

More information

First derivative analysis

First derivative analysis Robrto s Nots on Dirntial Calculus Chaptr 8: Graphical analysis Sction First drivativ analysis What you nd to know alrady: How to us drivativs to idntiy th critical valus o a unction and its trm points

More information

1.9 Cartesian Tensors

1.9 Cartesian Tensors Scton.9.9 Crtsn nsors s th th ctor, hghr ordr) tnsor s mthmtc obct hch rprsnts mny physc phnomn nd hch xsts ndpndnty of ny coordnt systm. In ht foos, Crtsn coordnt systm s sd to dscrb tnsors..9. Crtsn

More information

1 Isoparametric Concept

1 Isoparametric Concept UNIVERSITY OF CALIFORNIA BERKELEY Dpartmnt of Civil Enginring Spring 06 Structural Enginring, Mchanics and Matrials Profssor: S. Govindj Nots on D isoparamtric lmnts Isoparamtric Concpt Th isoparamtric

More information

From Structural Analysis to Finite Element Method

From Structural Analysis to Finite Element Method From Structural Analyss to Fnt Elmnt Mthod Dhman Basu II Gandhnagar -------------------------------------------------------------------------------------------------------------------- Acknowldgmnt Followng

More information

Fakultät III Univ.-Prof. Dr. Jan Franke-Viebach

Fakultät III Univ.-Prof. Dr. Jan Franke-Viebach Unv.Prof. r. J. FrankVbach WS 067: Intrnatonal Economcs ( st xam prod) Unvrstät Sgn Fakultät III Unv.Prof. r. Jan FrankVbach Exam Intrnatonal Economcs Wntr Smstr 067 ( st Exam Prod) Avalabl tm: 60 mnuts

More information

te Finance (4th Edition), July 2017.

te Finance (4th Edition), July 2017. Appndx Chaptr. Tchncal Background Gnral Mathmatcal and Statstcal Background Fndng a bas: 3 2 = 9 3 = 9 1 /2 x a = b x = b 1/a A powr of 1 / 2 s also quvalnt to th squar root opraton. Fndng an xponnt: 3

More information

MECH321 Dynamics of Engineering System Week 4 (Chapter 6)

MECH321 Dynamics of Engineering System Week 4 (Chapter 6) MH3 Dynamc of ngnrng Sytm Wk 4 (haptr 6). Bac lctrc crcut thor. Mathmatcal Modlng of Pav rcut 3. ompl mpdanc Approach 4. Mchancal lctrcal analogy 5. Modllng of Actv rcut: Opratonal Amplfr rcut Bac lctrc

More information

Outlier-tolerant parameter estimation

Outlier-tolerant parameter estimation Outlr-tolrant paramtr stmaton Baysan thods n physcs statstcs machn larnng and sgnal procssng (SS 003 Frdrch Fraundorfr fraunfr@cg.tu-graz.ac.at Computr Graphcs and Vson Graz Unvrsty of Tchnology Outln

More information

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation.

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation. Lur 7 Fourir Transforms and th Wav Euation Ovrviw and Motivation: W first discuss a fw faturs of th Fourir transform (FT), and thn w solv th initial-valu problm for th wav uation using th Fourir transform

More information

Basic Polyhedral theory

Basic Polyhedral theory Basic Polyhdral thory Th st P = { A b} is calld a polyhdron. Lmma 1. Eithr th systm A = b, b 0, 0 has a solution or thr is a vctorπ such that π A 0, πb < 0 Thr cass, if solution in top row dos not ist

More information

AS 5850 Finite Element Analysis

AS 5850 Finite Element Analysis AS 5850 Finit Elmnt Analysis Two-Dimnsional Linar Elasticity Instructor Prof. IIT Madras Equations of Plan Elasticity - 1 displacmnt fild strain- displacmnt rlations (infinitsimal strain) in matrix form

More information

Relate p and T at equilibrium between two phases. An open system where a new phase may form or a new component can be added

Relate p and T at equilibrium between two phases. An open system where a new phase may form or a new component can be added 4.3, 4.4 Phas Equlbrum Dtrmn th slops of th f lns Rlat p and at qulbrum btwn two phass ts consdr th Gbbs functon dg η + V Appls to a homognous systm An opn systm whr a nw phas may form or a nw componnt

More information

A FE Method for the Computational Fluid Dynamics of Turbomachinery

A FE Method for the Computational Fluid Dynamics of Turbomachinery SOCRATES Tachng Staff Moblty Program 999-000 DMA-URLS Lctur not on A FE Mthod for th Computatonal Flud Dynamcs of Turbomachnry Alssandro Corsn Dpartmnto d Mccanca Aronautca Unvrsty of Rom La Sapnza - Octobr

More information

Discrete Shells Simulation

Discrete Shells Simulation Dscrt Shlls Smulaton Xaofng M hs proct s an mplmntaton of Grnspun s dscrt shlls, th modl of whch s govrnd by nonlnar mmbran and flxural nrgs. hs nrgs masur dffrncs btwns th undformd confguraton and th

More information

u r du = ur+1 r + 1 du = ln u + C u sin u du = cos u + C cos u du = sin u + C sec u tan u du = sec u + C e u du = e u + C

u r du = ur+1 r + 1 du = ln u + C u sin u du = cos u + C cos u du = sin u + C sec u tan u du = sec u + C e u du = e u + C Tchniqus of Intgration c Donald Kridr and Dwight Lahr In this sction w ar going to introduc th first approachs to valuating an indfinit intgral whos intgrand dos not hav an immdiat antidrivativ. W bgin

More information

Introduction to Turbulence Modelling

Introduction to Turbulence Modelling Introdcton to Trblence Modellng 1 Nmercal methods 0 1 t Mathematcal descrpton p F Reslts For eample speed, pressre, temperatre Geometry Models for trblence, combston etc. Mathematcal descrpton of physcal

More information

EE750 Advanced Engineering Electromagnetics Lecture 17

EE750 Advanced Engineering Electromagnetics Lecture 17 EE75 Avan Engnrng Eltromagnt Ltur 7 D EM W onr a D ffrntal quaton of th form α α β f ut to p on Γ α α. n γ q on Γ whr Γ Γ Γ th ontour nlong th oman an n th unt outwar normal ot that th ounar onton ma a

More information

EE 570: Location and Navigation: Theory & Practice

EE 570: Location and Navigation: Theory & Practice EE 570: Locaton and Navgaton: Thor & Practc Navgaton Snsors and INS Mchanaton Thursda 8 F 013 NMT EE 570: Locaton and Navgaton: Thor & Practc Sld 1 of 10 Navgaton Snsors and INS Mchanaton Navgaton Equatons

More information

Bruce A. Draper & J. Ross Beveridge, January 25, Geometric Image Manipulation. Lecture #1 January 25, 2013

Bruce A. Draper & J. Ross Beveridge, January 25, Geometric Image Manipulation. Lecture #1 January 25, 2013 Brce A. Draper & J. Ross Beerdge, Janar 5, Geometrc Image Manplaton Lectre # Janar 5, Brce A. Draper & J. Ross Beerdge, Janar 5, Image Manplaton: Contet To start wth the obos, an mage s a D arra of pels

More information

Phy213: General Physics III 4/10/2008 Chapter 22 Worksheet 1. d = 0.1 m

Phy213: General Physics III 4/10/2008 Chapter 22 Worksheet 1. d = 0.1 m hy3: Gnral hyscs III 4/0/008 haptr Worksht lctrc Flds: onsdr a fxd pont charg of 0 µ (q ) q = 0 µ d = 0 a What s th agntud and drcton of th lctrc fld at a pont, a dstanc of 0? q = = 8x0 ˆ o d ˆ 6 N ( )

More information

Group Codes Define Over Dihedral Groups of Small Order

Group Codes Define Over Dihedral Groups of Small Order Malaysan Journal of Mathmatcal Scncs 7(S): 0- (0) Spcal Issu: Th rd Intrnatonal Confrnc on Cryptology & Computr Scurty 0 (CRYPTOLOGY0) MALAYSIA JOURAL OF MATHEMATICAL SCIECES Journal hompag: http://nspm.upm.du.my/ournal

More information

Derivation of Eigenvalue Matrix Equations

Derivation of Eigenvalue Matrix Equations Drivation of Eignvalu Matrix Equations h scalar wav quations ar φ φ η + ( k + 0ξ η β ) φ 0 x y x pq ε r r whr for E mod E, 1, y pq φ φ x 1 1 ε r nr (4 36) for E mod H,, 1 x η η ξ ξ n [ N ] { } i i i 1

More information

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim. MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function

More information

Text: WMM, Chapter 5. Sections , ,

Text: WMM, Chapter 5. Sections , , Lcturs 6 - Continuous Probabilit Distributions Tt: WMM, Chaptr 5. Sctions 6.-6.4, 6.6-6.8, 7.-7. In th prvious sction, w introduc som of th common probabilit distribution functions (PDFs) for discrt sampl

More information

Linear Algebra Provides a Basis for Elasticity without Stress or Strain

Linear Algebra Provides a Basis for Elasticity without Stress or Strain Soft, 05, 4, 5-4 Publshd Onln Sptmbr 05 n ScRs. http://www.scrp.org/ournal/soft http://dx.do.org/0.46/soft.05.400 Lnar Algbra Provds a Bass for Elastcty wthout Strss or Stran H. H. Hardy Math/Physcs Dpartmnt,

More information

Lecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation

Lecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation Lctur Rlc nutrnos mpratur at nutrno dcoupln and today Effctv dnracy factor Nutrno mass lmts Saha quaton Physcal Cosmoloy Lnt 005 Rlc Nutrnos Nutrnos ar wakly ntractn partcls (lptons),,,,,,, typcal ractons

More information

ACOUSTIC WAVE EQUATION. Contents INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS

ACOUSTIC WAVE EQUATION. Contents INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS ACOUSTIC WAE EQUATION Contnts INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS INTRODUCTION As w try to vsualz th arth ssmcally w mak crtan physcal smplfcatons that mak t asr to mak and xplan our obsrvatons.

More information

C PLANE ELASTICITY PROBLEM FORMULATIONS

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 information

Elements of Statistical Thermodynamics

Elements of Statistical Thermodynamics 24 Elmnts of Statistical Thrmodynamics Statistical thrmodynamics is a branch of knowldg that has its own postulats and tchniqus. W do not attmpt to giv hr vn an introduction to th fild. In this chaptr,

More information

Ερωτήσεις και ασκησεις Κεφ. 10 (για μόρια) ΠΑΡΑΔΟΣΗ 29/11/2016. (d)

Ερωτήσεις και ασκησεις Κεφ. 10 (για μόρια) ΠΑΡΑΔΟΣΗ 29/11/2016. (d) Ερωτήσεις και ασκησεις Κεφ 0 (για μόρια ΠΑΡΑΔΟΣΗ 9//06 Th coffcnt A of th van r Waals ntracton s: (a A r r / ( r r ( (c a a a a A r r / ( r r ( a a a a A r r / ( r r a a a a A r r / ( r r 4 a a a a 0 Th

More information

An Overview of Markov Random Field and Application to Texture Segmentation

An Overview of Markov Random Field and Application to Texture Segmentation An Ovrvw o Markov Random Fld and Applcaton to Txtur Sgmntaton Song-Wook Joo Octobr 003. What s MRF? MRF s an xtnson o Markov Procss MP (D squnc o r.v. s unlatral (causal: p(x t x,

More information

BAR & TRUSS FINITE ELEMENT. Direct Stiffness Method

BAR & 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 information

nd the particular orthogonal trajectory from the family of orthogonal trajectories passing through point (0; 1).

nd the particular orthogonal trajectory from the family of orthogonal trajectories passing through point (0; 1). Eamn EDO. Givn th family of curvs y + C nd th particular orthogonal trajctory from th family of orthogonal trajctoris passing through point (0; ). Solution: In th rst plac, lt us calculat th di rntial

More information

Minimum Spanning Trees

Minimum Spanning Trees Mnmum Spnnng Trs Spnnng Tr A tr (.., connctd, cyclc grph) whch contns ll th vrtcs of th grph Mnmum Spnnng Tr Spnnng tr wth th mnmum sum of wghts 1 1 Spnnng forst If grph s not connctd, thn thr s spnnng

More information

COMPUTATIONAL NUCLEAR THERMAL HYDRAULICS

COMPUTATIONAL NUCLEAR THERMAL HYDRAULICS COMPUTTIONL NUCLER THERML HYDRULICS Cho, Hyoung Kyu Dpartmnt of Nuclar Enginring Soul National Univrsity CHPTER4. THE FINITE VOLUME METHOD FOR DIFFUSION PROBLEMS 2 Tabl of Contnts Chaptr 1 Chaptr 2 Chaptr

More information

JEE-2017 : Advanced Paper 2 Answers and Explanations

JEE-2017 : Advanced Paper 2 Answers and Explanations DE 9 JEE-07 : Advancd Papr Answrs and Explanatons Physcs hmstry Mathmatcs 0 A, B, 9 A 8 B, 7 B 6 B, D B 0 D 9, D 8 D 7 A, B, D A 0 A,, D 9 8 * A A, B A B, D 0 B 9 A, D 5 D A, B A,B,,D A 50 A, 6 5 A D B

More information

Grand Canonical Ensemble

Grand Canonical Ensemble Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls

More information

Higher order derivatives

Higher order derivatives Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of

More information

5. PRESSURE AND VELOCITY SPRING 2018

5. PRESSURE AND VELOCITY SPRING 2018 5. RESSURE AND VELOCITY SRING 08 5. Th momntm qaton 5. rssr-vlocty colng 5.3 rssr-corrcton mthods Smmary Rfrncs Examls 5. Th Momntm Eqaton Each vlocty comonnt satsfs ts on scalar-transort qaton, a comonnt

More information

A NON-LINEAR MODEL FOR STUDYING THE MOTION OF A HUMAN BODY. Piteşti, , Romania 2 Department of Automotive, University of Piteşti

A NON-LINEAR MODEL FOR STUDYING THE MOTION OF A HUMAN BODY. Piteşti, , Romania 2 Department of Automotive, University of Piteşti ICSV Carns ustrala 9- July 7 NON-LINER MOEL FOR STUYING THE MOTION OF HUMN OY Ncola-oru Stănscu Marna Pandra nl Popa Sorn Il Ştfan-Lucan Tabacu partnt of ppld Mchancs Unvrsty of Ptşt Ptşt 7 Roana partnt

More information