An axisymmetric incompressible lattice BGK model for simulation of the pulsatile ow in a circular pipe

Size: px
Start display at page:

Download "An axisymmetric incompressible lattice BGK model for simulation of the pulsatile ow in a circular pipe"

Transcription

1 INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS In. J. Nume. Meh. Fluds 005; 49: Publshed onlne 3 June 005 n Wley IneScence DOI: /d.997 An axsymmec ncompessble lace BGK model fo smulaon of he pulsale ow n a ccula ppe T. S. Lee, Habo Huang ; and Chang Shu Mechancal Engneeng; Naonal Unvesy of Sngapoe; Sngapoe; Sngapoe SUMMARY Applyng he dea of Hallday e al., hough nseng he souce em no he wo-dmensonal lace Bolzmann equaon o ecove he ncompessble Nave Sokes equaon n he cylndcal coodnaes, an axsymmec ncompessble Lace-BGK DQ9 model was poposed hee o smulae he pulsale ows n a ccula ppe. The pulsale ows n a ccula ppe wh 1 Re 000 Reynolds numbe s based on ppe s damee), Womesley numbe 1 5 wee nvesgaed and compaed wh he exac analycal soluons. The excellen ageemens beween numecal and he analycal soluon valdae ou model. The eec of schemes o mplemen pessue gaden and he model s spaal accuacy wee also dscussed. To show he pefomance of he poposed model, he same poblems wee also smulaed by Hallday s axsymmec model whch deved fom sandad LBM and he hee-dmensonal ncompessble LBGK model. I s obseved ha he pesen model educes he compessbly eec n Hallday s model and s much moe ecen han he LBGK D3Q19 model fo an axsymmec pulsale ow poblem. Copygh? 005 John Wley & Sons, Ld. KEY WORDS: lace Bolzmann mehod; axsymmec; ncompessble Nave Sokes equaon 1. INTRODUCTION The lace Bolzmann mehod LBM) has been poposed as an alenave numecal scheme fo solvng he ncompessble Nave Sokes NS) equaons [1, ]. Among deen lace Bolzmann equaon LBE) models n applcaon, he lace Bhanaga Goss Kook LBGK) model s he smples one because only nvolves one scala elaxaon paamee and a smple equlbum momenum dsbuon funcon [3]. If he densy ucuaon can be negleced, he ncompessble Nave Sokes equaon can be ecoveed fom a LBE hough he Chapman Enskog pocedue [4]. Howeve, n LBM, he densy may ucuae o a gea exen n ows wh lage pessue gaden because he pessue and densy vaaons sasfy he equaon of Coespondence o: Habo Huang, Mechancal Engneeng, Naonal Unvesy of Sngapoe, Sngapoe, Sngapoe. E-mal: g @nus.edu.sg E-mal: mpelees@nus.edu.sg E-mal: mpeshuc@nus.edu.sg Receved 1 Januay 005 Revsed 8 Apl 005 Copygh? 005 John Wley & Sons, Ld. Acceped 3 Apl 005

2 100 T. S. LEE, H. HUANG AND C. SHU saes of an sohemal gas gven by p = c s [4], whee c s s a consan. In many pevous sudes [4 6], he compessbly eec of sandad LBGK model has been hghlghed. Some ncompessble models wee poposed o elmnae he compessbly eec of he sandad LBGK model [6, 7]. One of he mos successful ncompessble LBGK model was poposed by He and Luo n 1997 [6]. The ncompessble LBGK model was valdaed by seady plane poseulle ow and he unseady D Womesley ow. In he model, he compessbly eec of he ode om ) s explcly elmnaed [6]. In he pas, besdes he above sudy [6] on D Womesley ow, Cosgove e al. [8] also smulaed he D Womesley ow wh 400 Re 1000 and Aol e al. [9] suded he accuacy of D Womesley ow usng D 9-velocy DQ9) model wh deen bounday condons. Snce we ae neesed n sudyng blood ow n lage aees, we would lke o smulae he 3D oscllaoy ow n ppes. Howeve, when comes o he poblems of 3D axsymmec Womesley ow [5] o 3D seady ows [10] n ube, mos of pevous sudes [5, 10] sll ecouse o he 3D LBGK model and usng he 3D cubc laces wh pope cuvaue wall bounday eamen decly. Tha means a lage mesh sze and s no so ecen o smulae such an axsymmec poblem n ha way. To smulae he axsymmec ow moe ecenly, n 001, Hallday e al. [3] poposed an axsymmec DQ9 model fo he seady 3D axsymmec ow poblems and seems vey successful fo seady ube ow. Lae Nu e al. [11] fuhe deved an axsymmec model fo smulaon of he Taylo Couee ows. The man dea of he model s nseng seveal spaal and velocy-dependen souce ems no he adjused evaluaon equaon fo he lace ud s momenum dsbuon [3], whch s smla o he convenonal CFD mehods. Howeve, he axsymmec DQ9 model poposed by Hallday e al. [3] and Nu e al. [11] s deved fom he sandad DQ9 model. When we smulae he D Womesley ow wh he sandad DQ9 model, he soluon nvolves sgncan compessbly eec [6]. Smla ccumsances may appea when usng he axsymmec model poposed by Hallday e al. [3]. Tll oday, smulaon of he pulsale ow n ccula ppe usng ncompessble axsymmec DQ9 model has no been epoed. In hs pape an axsymmec ncompessble DQ9 model s poposed. To valdae and evaluae he pefomance of he model, 3D Womesley ow smulaons wee pefomed. The 3D Womesley ow pulsale ow n axsymmec ppe) s dven by peodc pessue gaden a he nle of he ppe. Snce a ypcal Reynolds numbe n he abdomnal aoa s 150 and a ypcal Womesley numbe = 8 [5], he paamees of mos cases n hs pape ae close o hese wo values. Fo 3D Womesley ow smulaons, wo deen schemes wee adoped o mplemen he oscllaoy pessue gaden. One s applyng an equvalen body foce n he pos-collson sep, he ohe s specfyng he oscllaoy o xed pessue a ends of he ppe decly. Mos of he pevous sudes [3, 8] adop he s scheme. Tha may noduce he nuence of he body foce and snce hee ae deen ow condons a he oule of aees hs scheme may be uneal fo he vascula ow smulaon [5]. The eecs of deen schemes o mplemen he oscllaoy pessue gaden and he model s spaal accuacy wee also dscussed hee. To show he pefomance of he poposed model, he same poblem was also smulaed by he ncompessble LBGK 3D 19-velocy D3Q19) model. Dealed compason of CPU me and accuacy of numecal esuls beween ou model and 3D model s gven. The compason demonsaes ha he pesen axsymmec

3 AN AXISYMMETRIC INCOMPRESSIBLE LBGK 101 model s much moe ecen han he LBGK D3Q19 model fo an axsymmec pulsale ow poblem n ems of CPU me and memoy.. NUMERICAL METHODS Fo he ncompessble nenal ow n a ccula ppe f we assume ha he ow s axsymmec, he azmuhal velocy u and coodnae devaves vansh fom he ncompessble connuy and Nave Sokes equaons. Hence he connuy equaon @ = u 1) The axal and adal veloces u x ;u sasfyng wo momenum equaons n he wo spaal coodnaes x and ae Du x D Du D = + u x = + u ) ) 3).1. Axsymmec ncompessble LBGK model Hee, n ou sudy, he ncompessble LBGK DQ9 model [6] was employed o fuhe deve ou axsymmec ncompessble model. Theoecally he LBE smulaed he compessble Nave Sokes equaon nsead of he ncompessble one, because he spaal densy vaaon s no zeo n LBE smulaons. In ode o coecly smulae ncompessble Nave Sokes equaon n pacce, one mus ensue ha he Mach numbe s low and he densy ucuaon ) s of ode om ) [6]. The devaon pocedue and addonal lm L x =c s T ) 1 s llusaed n Appendx A. Fom he devaon, Equaons 1) 3) can be ecoveed. Fo ou pesen axsymmec ncompessble DQ9 model, he nne dscee veloces ae as follows: 0; 0); =0 e = cos[ 1)=]; sn[ 1)=])c; =1; ; 3; 4 4) cos[ 5)=+=4]; sn[ 5)=+=4])c; =5; 6; 7; 8 whee c = x =, x and ae he lace spacng and me sep sze. In hs pape c = 1. The dscee veloces wee also llusaed n Fgue 1. In ou axsymmec DQ9 model, f x; ; ) s he dsbuon funcon fo pacles wh velocy e a poson x; ) and me. The macoscopc pessue p and momenum 0 u ae dened as 8 8 f = p=cs ; f e = 0 u 5) =0 whee 0 s he densy of ud. =0

4 10 T. S. LEE, H. HUANG AND C. SHU e 6 e e 5 x e 3 e0 e 1 e 7 e 4 e 8 Fgue 1. The dscee velocy fo axsymmec DQ9 model. The wo man seps of LBGK DQ9 model ae collson and seamng. In he collson sep, a goup of calculaons fom 6a) o 6d) ae mplemened: f ne = f x; ; ) f eq x; ; ) 6a) f + h 1) h ) =! 0 u 3 =! x; ; ) =f eq x; ; )+ [@ yp + x u x u + u u + u x u )e x ] 1 1 ) f ne + h 1) + h ) 6b) 6c) 6d) whee f eq s he equlbum momenum dsbuon funcon and f ne pa of dsbuon funcon. h 1) and h ) The devaon pocedue of h 1) and h )! 0 =4=9,! =1=9, =1; ; 3; 4),! =1=36, =5; 6; 7; 8). f eq followng equaon [6]: [ f eq p e u x; ; )=! +! cs 0 + e u) cs cs 4 u cs s he non-equlbum ae he souce ems added no he collson sep. was llusaed n Appendx A. In above expessons, can be obaned hough he ] ; =0; 1; ;:::;8 7) I s noced ha he man deence beween he above ncompessble DQ9 model and he sandad DQ9 model s he fom of Equaon 7). In he above fomulas 6c) and 6d), he elaxaon me consan and he ud vscosy sasfy equaon = 1) x =6. In he seamng sep, he new dsbuon funcon value obaned fom 6d) would popagae o he neghboung egh laces. Tha can be mplemened by he followng Equaon 8), whch would be appled on all unfom laces: f x + e x ;+ e ;+ )=f + x; ; ) 8) Hee, n hs pape = x =1.

5 AN AXISYMMETRIC INCOMPRESSIBLE LBGK 103 Fo he velocy devaons n above Equaon 6c), he u x x x u x u can be obaned hough Equaon 9) wh = x; = ; = = x; = =, especvely: u u )= 1 1 ) 8 f 1) e e = 1 1 ) 8 f ne e e + o ) 9) =0 Fo he u x u n Equaon 6c), s equal u x +@ x u x u. u x +@ x u ) can be easly obaned by Equaon 9), only he value x u s lef unknown o u x u. Hee we ecouse o ne deence mehod o x u a lace node ; j), whch can be calculaed by Equaon x u ) ; j =u ) +1;j u ) 1;j )=x) 10) The values u x x x u u, x u fo he lace nodes whch ae jus on he wall bounday can also be calculaed fom Equaons 9) and 10). Obanng hese values fo lace nodes on he peodc bounday s also easy. Howeve, o oban hese values fo he nodes on he nle=oule pessue-speced bounday, hese values ae exapolaed fom hose of he nne nodes... Bounday condon To mplemen he oscllaoy pessue gaden, wo schemes can be appled. One s applyng an equvalen oscllaoy body foce [8] he ohe s smply specfyng oscllaoy pessue a he nle bounday and xng he oule pessue [6]. To apply an equvalen body foce, he peodc bounday condons ae mposed a he open ends of he ppe and n he collson sep, afe sep 6d) was mplemened, a fuhe pos-collson sep s necessay: f + x; ; )=f + x; ; )+! F e =cs ; =1; ;:::;8 11) whee F =p cos!); 0) s he body foce and p s he maxmum amplude of he oscllaoy pessue gaden. In hs pape, f s no menoned explcly, he oscllaoy pessue gaden was mplemened n hs way. On he ohe hand, n ou sudy, he nle=oule pessue bounday condon was also appled because he pessue gaden canno always be eplaced by an exenal foce n LBGK compuaons. Some pessue bounday condon eamens have been poposed n pevous LBM sudes [1, 13]. Hee he mehod poposed by Guo e al. [1] was adoped fo s smplcy. If specfyng oscllaoy pessue a nle bounday condon and xng he oule pessue, he coespondng velocy value n hese boundaes was exapolaed fom he nex nne nodes. Hence, he equlbum pa of dsbuon funcon can be deemned fom he above Equaon 7) and he non-equlbum pa of dsbuon funcon can be obaned hough exapolaon [1]. So, he collson sep fo bounday nodes can be mplemened nomally as nne nodes. Fo wall bounday condons, s well known ha he mos commonly appled n LBM s bounce back model [5]. Howeve, fo he 3D ccula ppe ow poblem, o ea he cuvaue wall bounday n unfom cubc laces, ognal bounce back model s no accuae enough fo cuvaue bounday [5]. Fo dec 3D smulaon, n hs sudy, he non-equlbum dsbuon funcon exapolaon mehod [14] was appled fo cuvaue wall bounday. In =0

6 104 T. S. LEE, H. HUANG AND C. SHU he mehod, he velocy on wall nodes lace nodes ousde and mos nea o physcal bounday) s obaned fom exapolaon and p-value obaned fom he neaes ud node lace nodes nsde physcal bounday), hence he equlbum dsbuon funcon fo wall nodes can be obaned hough Equaon 7). Wh coespondng non-equlbum dsbuon funcon exapolaed fom he ud nodes, he collson sep on wall nodes can be fullled. Ths eamen s poved o be second ode n space [14]. When ou D axsymmec ncompessble model was appled o sudy he axsymmec ppe ows, he non-equlbum dsbuon funcon exapolaon mehod [14] fo wall bounday was also adoped. To apply hs wall bounday eamen, an addonal laye ousde he wall bounday s ncluded. 3. RESULTS AND DISCUSSION The 3D Womesley ow pulsale ow n axsymmec ppe) s dven by peodc pessue gaden a he nle of he ppe. In he followngs, p s he maxmum amplude of he snusodally vayng = p e! 1) R s dened as he adus of he ccula ppe.! s he angula fequency and s he knec vscosy of ud. The Reynolds numbe s dened as Re =U c R=, U c s he chaacesc velocy dened as U c = p 4! = p R 4 13) whch s he velocy ha would be obseved a he cene of he ube f a consan focng em p was appled n he lm of 0. The Womesley numbe s dened as = R!=. The Souhal numbe s dened as S = R=U c T ), whee T s he samplng peod. The analycal soluon fo axsymmec ppe pulsale ow [5] s { [ p u; )=Re 1 J 0[ 1 ] } +)=R)] e! 14)! 0 J 0 [ 1 +)] whee J 0 s he zeoh-ode Bessel funcon of he s ype. All he smulaons n hs pape began wh an nal condon of zeo velocy evey whee, and an nal un of 10T seps. I should be noced ha he maxmum velocy U max appeaed n ube axs dung a samplng peod would be less han he chaace velocy U c fo case 0. Fo case 1, he maxmum velocy U max would be much less han U c. Ths s llusaed n Fgue, whch shows he nomalzed maxmum velocy n ube axs U max =U c, and he phase lag of he velocy eld, nomalzed by ), as funcon of. In he gue, he numecal esuls agee well wh he analycal soluon. I seems ha when oscllaoy pessue gaden changes vey fas s mpossble fo velocy eld o each he fully developed velocy pole wh maxmum value U c.

7 AN AXISYMMETRIC INCOMPRESSIBLE LBGK 105 Fgue. Maxmum velocy n he axs of ube and he phase lag as funcon of Womesley numbe Convege ceon and spaal accuacy To evaluae he eo beween he numecal and analycal soluon, we noduce a velocy eo fomula whch s llusaed n 15). A each me sep he eo can be dened as = u ) u a ) u 15) a ) whee u ) s he numecal soluon, u a ) s he analycal velocy a n mddle ppe. The oveall aveage eo s aveaged ove he peod T. Fo all he cases n hs pape, he convegence ceon was se as follows: x ux;+ T) ux;) x ux;+ T ) ) whee was usually chosen as =1+nT n hs pape. Hee n all cases, he ppe lengh was chosen as N [8], whee N s he numbe of lace nodes n he damee usually N excludes he uppe and lowe exa layes ousde he wall bounday). The global eos behavou fo =7:97 and 3:171 s llusaed n Fgue 3. Fo a cean, asn was nceased was kep consan by vayng he peod T accodngly whn he ange T Fo he above, he coespondng was kep 0:6 and 1:0. In Fgue 3, he sold lnes epesen he lnea s, and he slope of he lnes ae 1:89 =7:97) and :0 =3:171). The gue demonsaes ha cuen LBGK model ncopoang he exapolaon wall bounday condon and he focng em s second ode n space.

8 106 T. S. LEE, H. HUANG AND C. SHU Fgue 3. The global eo as a funcon of he ppe damee N fo =7:97 and =3: Eec of Womesley numbe on ow paen As a ypcal Reynolds numbe n he abdomnal aoa s abou 150 and a ypcal Womesley numbe = 8 [5], n ou smulaon, sly he case of Re = 100, =7:97, T = 100, =0:6 was pefomed, N = 41 and he coespondng U c =1:0. The exac analycal soluons of Equaon 14) wee compaed o numecally evaluaed velocy poles along he damee n Fgues 4a) and b). The velocy s nomalzed by U c. The -axs s non-dmensonalzed by dvdng by he adus of he ube as ndcaed n Fgue 4. Alhough n hs case U c =1:0, he U max obseved n whole oscllaoy peod s only abou 0:063, M =0: :109 1, whch s conssen wh he lm of LBM. In hs case, paamees T = 100, =0:6, U c =1:0 wee chosen o avod numecal sably and save compuaonal me because f U c =0:1, o x he paamee Re and and he same mesh sysem, he should be 1=300, and hen s 0.51, whch s vey close o 0.5, numecal nsably may appea. On he ohe hand, he coespondng T value should be whle no jus 100. Hence much moe CPU me s equed. Anyway, U c =1:0 n hs case s coec because M 1. Hee, n he above case, he oveall numecal aveage eo s abou 1.3%. Whle Aol e al. [5] menoned ha he oveall aveage eo fo almos he same 3D case s aound 7% usng he cuve bounday condon poposed by Bouzd e al. [15]. The pesen bee pefomance may be due o ou axsymmec ncompessble DQ9 model elmnang he compessbly eec whle he D3Q19 model appled by Aol e al. [5] nvolves he eec and ou second-ode exapolaon wall bounday eamens may also accoun fo he bee pefomance. Fgues 5a) and b) show he velocy evoluon of an oscllaon ove half a peod fo =1:373 and 4:56, especvely. Fo he case llusaed n Fgue 5a), Re =1:, =1:5,

9 AN AXISYMMETRIC INCOMPRESSIBLE LBGK 107 a) b) Fgue 4. Poles of: a) deceasng; and b) nceasng veloces along he damee of a ube fo =7:97, T = 100, Re = 100, =0:6, a = nt=16 n =0;:::;15) U c =1:0, acually U max 0:07). a) b) Fgue 5. Velocy pole along he damee ove half a peod: a) =1:373; and b) =4:560. T = 4000, U c =0:01, N = 41, whch s a vscous-domnaed sysem [8]. Fo case llusaed n Fgue 5b), Re = 190, =0:7, T = 1000, U c =0:8, N = 161, whch s a momenumdomnaed sysem n he lamna egme [8]. Snce shea sess plays a cucal ole n he pogesson of aheoscleoss. The shea sess enso compuaon s mpoan. In ou 3D axsymmec poblem, he shea sess enso x can be obaned convenenly fom Equaon 9). The calculaon s usually mplemened dung he collson pocess. I s convenen o ge shea sess enso n LBM. Hee we gve an

10 108 T. S. LEE, H. HUANG AND C. SHU Fgue 6. Shea sess, Re = 100, =0:6, =7:97, T = 100 n a oscllaoy ube ow, he measuemens ae aken a = nt=16, n =0; 1;:::;16. Table I. The oveall aveage eo compason fo wo schemes o mplemen he pessue gaden. Scheme Scheme of addon Scheme of specfy pessue Cases foce em on nle=oule BC Re =1; p = e e-3 Re = 10; p =0: e e- Re = 600; p =0: e e- example wh =7:97, T = 100, =0:6, Re = 100, N = 41. In Fgue 6, he analycal soluons wee compaed o numecally evaluaed shea sess along he damee a me = nt=16, n =1;:::;16. The esuls of numecal soluon and analycal soluon agee vey well Schemes o mplemen pessue gaden All he above accuae esuls wee acheved hough addng foce em no he pos-collson sep. Hee, we would also lke o make fuhe nvesgaon on he wo schemes o mplemen pulsale pessue gaden. In Table I, he pefomance of wo schemes was compaed. Hee, n all of he cases, =3:963, mesh sze N x N =41 41, T = 4800 and he convegence ceon s Equaon 16).

11 AN AXISYMMETRIC INCOMPRESSIBLE LBGK 109 Fo he scheme of specfyng nle=oule pessue, fom he devaon n Appendx A, we noce ha he value L x =c s T) should be vey small so as o neglec he compessbly eec due o he me vaaon of pessue eld [6]. In hese cases, T = 4800 L x =c s =40 3, whch sasfy he lm. The physcal meanng s ha n he ange of he dsance L x, he me, T, dung whch he ow eld undegoes a macoscopc change mus be geae han he me, L x =c s [6]. Fom Table I, we can see ha fo he scheme of specfyng pessue on nle=oule bounday, he oveall aveage eo ncease wh p beween wo ends o Reynolds numbe, whch s conssen wh he concluson n pape [6]. Fo he scheme of addng focng em, he oveall aveage eo decease slghly wh p. They also agee wh Aol e al. s [5] esuls. I seems ha he scheme of applyng addonal focng em has moe advanages han he scheme of specc pessue on nle=oule bounday fo he 3D Womesley ow, whch has unfom pessue gaden a any me Compessbly eec and compason wh Hallday s model Hee, he compessbly eec was nvesgaed n deal. The quany ha epesens compessbly s he mean vaaon of densy. I s dened as = 1 0 x; x; ) 0 ) )=N whee he mean densy s 0 and N s he oal numbe of nodes. Fo cases of Re = 100, =7:97, he mean densy ucuaon was calculaed fo M max =0:18, 0:109, 0:055 and 0:0. The M max s he maxmum Mach numbe n ube axs. In all smulaons, N x N =81 81, he Re and wee kep hough vayng T, p and value. The scheme of specfyng nle=oule pessue was chosen o mplemen pessue gaden. The esuls of densy ucuaon wee lsed n Table II. The able shows ha fo boh models of Hallday and pesen, and M max =0:055) 1 4 M max =0:109) M max =0:0) 1 5 M max =0:109) These esuls agee wh he known elaonshp [16] ha s popoonal o M. Hee we also nd ha when M max 0:10, he of Hallday s model s slghly lage han ha of pesen model. I s also neesng o nd some clues of compessbly eec hough nvesgang he velocy eld eo. Hee o nvesgae he velocy eld eo, fou cases wh =3:963, N x N =41 41, T = 4800 wee smulaed usng boh he pesen model and Hallday s model. The scheme of specfyng nle=oule pessue was chosen o mplemen pessue gaden. Table III shows he velocy eld eo measued by and. a me s dened as = u ;) u a ;)) u a ;) 17)

12 110 T. S. LEE, H. HUANG AND C. SHU Table II. Mean densy ucuaon. Models Cases Hallday s model %) Pesen model %) M max =0:18; =0:9; p =0:00; T = M max =0:109; =0:7; p =0:0005; T = M max =0:055; =0:6; p =0:00015; T = M max =0:0; =0:54; p =0:0000; T = Table III. The eo of velocy eld n 3D Womesley ow. Models Hallday s model Pesen model Cases max %) max %) 1 Re = 10; p =0: Re = 40; p =0: Re = 600; p =0: Re = 100; p =0: whee he summaon s ove he damee n mddle ppe and he oveall aveage eo s aveaged ove he peod T. The max means he maxmum value of n a samplng peod. In Table III, he M max n ube axs fo cases 1 4 ae 0:054, 0:108, 0:7 and 0:544, especvely. Compang he maxmum pacula velocy eo and he oveall numecal aveage eos of wo models n Table III, we obseved ha as M max n ube axs nceases, he coespondng eos of Hallday nceases much fase han he pesen ncompessble model. The obsevaon s conssen wh concluson go fo he sandad and ncompessble DQ9 models [6]. Hence, compang wh Hallday s model, he pesen model can elmnae he compessbly eec Compason wh 3D LBGK To show he pefomance of he poposed model, some cases wee also smulaed by he 3D ncompessble LBGK model. The 3D smulaon s based on he D3Q19 lace velocy model. The mesh sze used fo he axsymmec model s N x N =81 41, whle n he 3D LBM smulaon, he mesh sze used s N x N y N z = Noce n 3D smulaons he cuvaue wall bounday eamen [14] was appled. In hs compason, we used wo cases wh paamees of =7:97, T = 100, =0:6 as examples. Table IV lsed he oveall numecal aveage eo, peod numbe o each convegence ceon 16) and he CPU me equed by he pesen axsymmec model and 3D LBM. All he compuaons wee caed ou on a supecompue Compaq ES40: oal pefomance of 5300 Mops) n he Naonal Unvesy of Sngapoe. I can be obseved fom Table IV ha he peodc numbe of eaon equed by 3D LBM s slghly less han o equal o ha of he axsymmec model. Howeve, he 3D LBM smulaon akes abou 110 mes moe compung me o oban soluons han he pesen axsymmec model. Hence, ou poposed

13 AN AXISYMMETRIC INCOMPRESSIBLE LBGK 111 Table IV. Compason of CPU me and eo beween wo LBGK model fo 3D Womesley ow. To sasfy convegence ceon, Cases Models oal eae peod T ) CPU mn) Re = 100 3D D3Q19) e-00 D pesen model) e-00 Re = 10 3D D3Q19) e- D pesen model) e- model s much moe ecen fo such an axsymmec pulsale ow poblem. Accodng o he oveall aveage eo, he axsymmec LBM esul s slghly bee han he 3D LBM esul. One possble eason s ha he axsymmec model dd no nvolve he eo n he ccumfeenal decon. 4. CONCLUSION An axsymmec ncompessble LBGK model was deved n hs pape by noducng an addonal souce em o he ncompessble LBGK model [6]. Wh lm of Mach numbe M 1 and L x =c s T) 1, hs axsymmec LBGK model successfully ecoveed he Nave Sokes equaon n he cylndcal coodnaes hough Chapman Enskog expanson efe o Appendx A). Fo he addonal souce em n ou model, mos velocy gaden ems can be obaned fom hgh-ode momenum of dsbuon funcon, whch s conssen wh he phlosophy of he LBM. The axsymmec ncompessble LBGK model was successfully appled o smulae he 3D pulsale ow n ccula ube and he spaal accuacy of he numecal soluons s abou second ode. Though he smulaons wh 1 Re 000 Reynolds numbe s based on ppe s damee), Womesley numbe 1 5, he axsymmec ncompessble LBGK model gves ou vey accuae esuls fo 3D Womesley ow. Ou model s vald fo unseady axsymmec ows. In ou nvesgaon, cuen LBGK model ncopoang he exapolaon bounday condon and he focng em s second ode n space. Though compason of he wo schemes o mplemen pulsale pessue gaden, seems ha he scheme of applyng addonal focng em has advanages han he scheme of specfy pessue on nle=oule bounday fo he 3D Womesley ow, whch has unfom pessue gaden a any me. Though compason wh Hallday s axsymmec model, s obseved ha he pesen model can educe he compessbly eec n Hallday s model because pesen model deved fom he ncompessble model [6]. Compang wh 3D LBGK model, pesen axsymmec LBGK model gves ou slghly bee esuls han he 3D LBM and s much moe ecen han he 3D LBM n ems of compuaonal me and memoy. APPENDIX A: CHAPMAN ENSKOG DERIVATION OF THE AXISYMMETRIC INCOMPRESSIBLE DQ9 MODEL Hee we show ha he followng connuy and Nave Sokes equaons may be obaned fom a lace Bolzmann DQ9 @ = u A1)

14 11 T. S. LEE, H. HUANG AND @u + u + @ u ) A) whee and epesen ndex x o and x means x o. In he followng equaons, f x; ; ) s he dsbuon funcons of DQ9 model, he souce em h x; ; ) was ncopoaed no an adjused evaluaon equaon fo he lace ud s momenum dsbuon A3): f x + e x ;+ e ;+ ) f x; ; )= 1 [f0) x; ; ) f x; ; )] + h x; ; ) A3) Apply he Taylo expanson A4) and expandng he me and space devaves n ems of he Knudson numbe [17] n he followng A5): f x + e x ;+ e ;+ )= n=0 f = f 0) + f 1) + f ) h = h 1) + h ) + n n! Dn f x; ; ) A4) A5) In A5), hee s no equlbum h em, whee = and can epesen x o and + ), we also noce ha = 1 = e 1x + 1. Incopoae A4) and A5) no A3), n he zeoh, s and second odes of ae A6), A7) and A8), especvely: E 0 =f 0 f eq )= A6) E 1 =@ )f 0) + 1 f 1) h1) E f 0) )f 0) + h 1) ] + 1 f ) h) A7) A8) The equlbum f 0) elaonshps: s dened by 6) and he dsbuon funcon f sased he followng 8 =0 f 0) = p ; cs 8 =0 e f 0) = 0 u A9) 8 =0 f m) =0; 8 =0 e f m) = 0 fo m 0 A10)

15 AN AXISYMMETRIC INCOMPRESSIBLE LBGK 113 A.1. Mass consevaon and h 1) Summaon of Equaon A7) ove leads o 1 p + 0@ u = h 1) A11) By ewng A11) n a dmensonless fom, fo he s em o be neglgble, L x =c s T ) 1 should be sased [6]. Tha s an addonal lm of ou devaon besdes condon Mach numbe M 1. Summaon of Equaon A8) ove leads o p = 0 and fo smplcy, we assume )h 1) A1) h ) = 0 A13) Compae A11) wh A1) and noce! = 1, followng he selecon of h 1) h 1) =! 0 u s easonable. A14) Hence, a he same me, due o ou assumpon A13), we oban he followng equaon A15): h ) = )h 1) = 1 1 )[ ] u! 0 u ) ] A15) Noce ha o deve A15), we used equaon! e =0. A.. Momenum consevaon and h ) Mulple Equaon A7) wh e and summaon ove leads o 1 u 1 0 = whee 0 = 8 =0 e e f 0) = 0 u u + cs. So, Incopoae A17) no A15), we can ge VIP1) 1 u 0 c s + 0 u u ) h ) = h 1) e = 0 A16) 1 ) c s + 0 u u )= c s + 0 u u ) A17)

16 114 T. S. LEE, H. HUANG AND C. SHU Mulply Equaon A8) wh e and summaon ove lead o u ) = 1 ) 1 e h 1) 1 e e h 1) + To fuhe deve Equaon A18), sly we obaned A19) and A0): 1) = e e f 1) = e e D 1 f 0) + e e h 1) [ 0) k e e e k f 0) + e e h 1) ) e e e k f 0) = 0 k jk + j k + j k )u j = 0 k h ) e A18) j u j In Equaon A18), he 0 s of ode M,Ms he Mach numbe), because f we assume he velocy of ode u 0, lengh L, 0 = L=u 0, 0 u 0 = 0, whle he em =@x =@x ) s of ode cs u 0 =L, hence, compae wh em 0 / ema0) = O u 0 0 / c s u 0 L ) = O u0 c s ) = OM ) egadng he 0 s vey small, hs em can be omed. 1 1 ) 1) 1 1 )[ 0 j u j @x +cs 1 1 ) ) 0 u = 0 ))] ju j = 0 )] A1) n he above fomula we used e e h 1) = e e [! 0 u =]=cs 0 u =). The RHS em n A18) s RHS = c s 1 ) ) h ) e A) Hence ncopoae A16), A18), A1) and A), we can ) ) 0 u 1 + h ) @x Compae momenum equaon A3) wh Equaon A), o ecove he Nave Sokes momenum equaon VIP) should be esablshed: 0 u ) 1 + h e 0 u 1 ) 0u

17 AN AXISYMMETRIC INCOMPRESSIBLE LBGK 115 Solvng equaon sysem VIP1) and VIP), we can oban he expesson of h ) as follows: h ) 3 =! [@ cs u u )] 0 0 u )e ) ] 3 1 =! [@ 3 + x u x u + u u + u x u )e x A4) In he above devaon, we used Equaon A4): 0 u 0 u ) 0 u ) = 0 u A5) We successfully deved he expesson of h 1) A14), h ) A4) and ecoveed he connuy equaon A1) and Nave Sokes equaon A). APPENDIX B: NOMENCLATURE c = x= c s = c= 3 e f h M N p p Re R S T U max M max U c u u x u u he ao beween lace sze and me sep he speed of sound he pacle velocy veco along decon he pacle dsbuon funcon he souce ems Mach numbe numbe of lace nodes n damee ud pessue he maxmum amplude of he oscllaoy pessue gaden Reynolds numbe he adus of he ccula ppe Souhal numbe of Womesley ow me samplng peod he maxmum velocy appea n ube axs dung a samplng peod U max =c s he chaacesc velocy, whch s equal o 0) o much lage han 1) U max ud velocy veco x componen of he velocy componen of he velocy componen of he velocy, can epesen x o

18 116 T. S. LEE, H. HUANG AND C. SHU Geek lees x lace sze me sep he dmensonless elaxaon me consan 0 ud densy he knec vscosy of ud Womesley numbe! angula fequency of Womesley! wegh coecens fo he equlbum dsbuon funcon velocy eo dened by Equaon 15) oveall aveaged ove a samplng peod velocy eo dened by Equaon 17) oveall aveaged ove a samplng peod shea sess he mean densy ucuaon REFERENCES 1. Chen S, Manez D, Me R. On bounday condons n lace Bolzmann mehods. Physcs of Fluds 1996; 8: Chen S, Doolen G. Lace Bolzmann mehod fo ud ows. Annual Revew of Flud Mechancs 1998; 30: Hallday I, Hammond LA, Cae CM, Good K, Sevens A. Lace Bolzmann equaon hydodynamcs. Physcal Revew E 001; 64: Hou S, Zou Q e al. Smulaon of cavy ow by he lace Bolzmann mehod. Jounal of Compuaonal Physcs 1995; 118: Aol AM, Hoeksa AG, Sloo PMA. 3D pulsale ow wh he lace Bolzmann BGK mehod. Inenaonal Jounal of Moden Physcs C 00; 138): He X, Luo L. Lace Bolzmann model fo he ncompessble Nave Sokes equaon. Jounal of Sascal Physcs 1997; 88: Guo Z, Sh B, Wang N. Lace Bolzmann model fo ncompessble Nave Sokes equaon. Jounal of Compuaonal Physcs 000; 165: Cosgove JA, Buck JM, Tonge SJ e al. Applcaon of he lace Bolzmann mehod o anson of oscllaoy channel ow. Jounal of Physcs A: Mahemacal and Geneal 003; 36: Aol AM, Hoeksa AG, Sloo PMA. Accuacy of D Pulsale ow n he lace Bolzmann BGK mehod. Lecue Noes n Compue Scence 00; 39: Mae RS, Benad RS, Gunau DW. Bounday condons fo he lace Bolzmann mehod. Physcs of Fluds 1996; 87): Nu X, Shu C, Chew YT. An axsymmec lace Bolzmann model fo smulaon of Taylo Couee ows beween wo concenc cylndes. Inenaonal Jounal of Moden Physcs C 003; 146): Guo Z, Zheng C, Sh B. Non-equlbum exapolaon mehod fo velocy and pessue bounday condons n he lace Bolzmann mehod. Chnese Physcs 00; 114): Zou Q, He X. On pessue and velocy bounday condons fo he lace Bolzmann BGK model. Physcs of Fluds 1997; 9: Guo Z, Zheng C, Sh B. An exapolaon mehod fo bounday condons n lace Bolzmann mehod. Physcs of Fluds 00; 14: Bouzd M, Fdouss M, Lallemand P. Momenum ansfe of a Bolzmann-lace ud wh boundaes. Physcs of Fluds 001; 1311): Manez DO, Mahaeus WH, Chen S, Mongomey DC. Compason of specal mehod and lace Bolzmann smulaons of D hydodynamcs. Physcs of Fluds 1994; 63): Buck JM. Lace Bolzmann mehods n nefacal wave modellng. Ph.D. Thess, The Unvesy of Ednbugh, 1997.

A multiple-relaxation-time lattice Boltzmann model for simulating. incompressible axisymmetric thermal flows in porous media

A multiple-relaxation-time lattice Boltzmann model for simulating. incompressible axisymmetric thermal flows in porous media A mulple-elaxaon-me lace Bolmann model fo smulang ncompessble axsymmec hemal flows n poous meda Qng Lu a, Ya-Lng He a, Qng L b a Key Laboaoy of Themo-Flud Scence and Engneeng of Mnsy of Educaon, School

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

SCIENCE CHINA Technological Sciences

SCIENCE CHINA Technological Sciences SIENE HINA Technologcal Scences Acle Apl 4 Vol.57 No.4: 84 8 do:.7/s43-3-5448- The andom walkng mehod fo he seady lnea convecondffuson equaon wh axsymmec dsc bounday HEN Ka, SONG MengXuan & ZHANG Xng *

More information

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

More information

s = rθ Chapter 10: Rotation 10.1: What is physics?

s = rθ Chapter 10: Rotation 10.1: What is physics? Chape : oaon Angula poson, velocy, acceleaon Consan angula acceleaon Angula and lnea quanes oaonal knec enegy oaonal nea Toque Newon s nd law o oaon Wok and oaonal knec enegy.: Wha s physcs? In pevous

More information

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr.

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr. Moden Enegy Funconal fo Nucle and Nuclea Mae By: lbeo noosa Teas &M Unvesy REU Cycloon 008 Meno: D. Shalom Shlomo Oulne. Inoducon.. The many-body poblem and he aee-fock mehod. 3. Skyme neacon. 4. aee-fock

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

Lecture 5. Plane Wave Reflection and Transmission

Lecture 5. Plane Wave Reflection and Transmission Lecue 5 Plane Wave Reflecon and Tansmsson Incden wave: 1z E ( z) xˆ E (0) e 1 H ( z) yˆ E (0) e 1 Nomal Incdence (Revew) z 1 (,, ) E H S y (,, ) 1 1 1 Refleced wave: 1z E ( z) xˆ E E (0) e S H 1 1z H (

More information

Lattice-Boltzmann model for axisymmetric thermal flows

Lattice-Boltzmann model for axisymmetric thermal flows Lace-Bolzmann model fo asymmec hemal flows Q. L, Y. L. He, G. H. Tan, and W. Q. Tao Naonal Key Laboaoy of Mulphase Flow n Powe Enneen, School of Eney and Powe Enneen, X an Jaoon Unvesy, X an, Shaan 71009,

More information

1 Constant Real Rate C 1

1 Constant Real Rate C 1 Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g

More information

( ) ( )) ' j, k. These restrictions in turn imply a corresponding set of sample moment conditions:

( ) ( )) ' j, k. These restrictions in turn imply a corresponding set of sample moment conditions: esng he Random Walk Hypohess If changes n a sees P ae uncoelaed, hen he followng escons hold: va + va ( cov, 0 k 0 whee P P. k hese escons n un mply a coespondng se of sample momen condons: g µ + µ (,,

More information

Field due to a collection of N discrete point charges: r is in the direction from

Field due to a collection of N discrete point charges: r is in the direction from Physcs 46 Fomula Shee Exam Coulomb s Law qq Felec = k ˆ (Fo example, f F s he elecc foce ha q exes on q, hen ˆ s a un veco n he decon fom q o q.) Elecc Feld elaed o he elecc foce by: Felec = qe (elecc

More information

N 1. Time points are determined by the

N 1. Time points are determined by the upplemena Mehods Geneaon of scan sgnals In hs secon we descbe n deal how scan sgnals fo 3D scannng wee geneaed. can geneaon was done n hee seps: Fs, he dve sgnal fo he peo-focusng elemen was geneaed o

More information

Handling Fuzzy Constraints in Flow Shop Problem

Handling Fuzzy Constraints in Flow Shop Problem Handlng Fuzzy Consans n Flow Shop Poblem Xueyan Song and Sanja Peovc School of Compue Scence & IT, Unvesy of Nongham, UK E-mal: {s sp}@cs.no.ac.uk Absac In hs pape, we pesen an appoach o deal wh fuzzy

More information

ajanuary't I11 F or,'.

ajanuary't I11 F or,'. ',f,". ; q - c. ^. L.+T,..LJ.\ ; - ~,.,.,.,,,E k }."...,'s Y l.+ : '. " = /.. :4.,Y., _.,,. "-.. - '// ' 7< s k," ;< - " fn 07 265.-.-,... - ma/ \/ e 3 p~~f v-acecu ean d a e.eng nee ng sn ~yoo y namcs

More information

ScienceDirect. Behavior of Integral Curves of the Quasilinear Second Order Differential Equations. Alma Omerspahic *

ScienceDirect. Behavior of Integral Curves of the Quasilinear Second Order Differential Equations. Alma Omerspahic * Avalable onlne a wwwscencedeccom ScenceDec oceda Engneeng 69 4 85 86 4h DAAAM Inenaonal Smposum on Inellgen Manufacung and Auomaon Behavo of Inegal Cuves of he uaslnea Second Ode Dffeenal Equaons Alma

More information

Physics 2A Chapter 11 - Universal Gravitation Fall 2017

Physics 2A Chapter 11 - Universal Gravitation Fall 2017 Physcs A Chapte - Unvesal Gavtaton Fall 07 hese notes ae ve pages. A quck summay: he text boxes n the notes contan the esults that wll compse the toolbox o Chapte. hee ae thee sectons: the law o gavtaton,

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

A VISCOPLASTIC MODEL OF ASYMMETRICAL COLD ROLLING

A VISCOPLASTIC MODEL OF ASYMMETRICAL COLD ROLLING SISOM 4, BUCHAEST, - May A VISCOPLASTIC MODEL OF ASYMMETICAL COLD OLLING odca IOAN Spu Hae Unvesy Buchaes, odcaoan7@homal.com Absac: In hs pape s gven a soluon of asymmecal sp ollng poblem usng a Bngham

More information

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have:

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have: Poblem Se #3 Soluons Couse 4.454 Maco IV TA: Todd Gomley, gomley@m.edu sbued: Novembe 23, 2004 Ths poblem se does no need o be uned n Queson #: Sock Pces, vdends and Bubbles Assume you ae n an economy

More information

Chapter Finite Difference Method for Ordinary Differential Equations

Chapter Finite Difference Method for Ordinary Differential Equations Chape 8.7 Fne Dffeence Mehod fo Odnay Dffeenal Eqaons Afe eadng hs chape, yo shold be able o. Undesand wha he fne dffeence mehod s and how o se o solve poblems. Wha s he fne dffeence mehod? The fne dffeence

More information

Optimized Braking Force Distribution during a Braking-in- Turn Maneuver for Articulated Vehicles

Optimized Braking Force Distribution during a Braking-in- Turn Maneuver for Articulated Vehicles 56 Opmzed Bakng Foce Dsbuon dung a Bakng-n- Tun Maneuve o Aculaed Vehcles E. Esmalzadeh, A. Goodaz and M. Behmad 3 Downloaded om www.us.ac. a 3:04 IRST on Fday Novembe 3d 08,* Faculy o Engneeng and Appled

More information

Reflection and Refraction

Reflection and Refraction Chape 1 Reflecon and Refacon We ae now neesed n eplong wha happens when a plane wave avelng n one medum encounes an neface (bounday) wh anohe medum. Undesandng hs phenomenon allows us o undesand hngs lke:

More information

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1 ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon

More information

Lecture 17: Kinetics of Phase Growth in a Two-component System:

Lecture 17: Kinetics of Phase Growth in a Two-component System: Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien

More information

Real-coded Quantum Evolutionary Algorithm for Global Numerical Optimization with Continuous Variables

Real-coded Quantum Evolutionary Algorithm for Global Numerical Optimization with Continuous Variables Chnese Jounal of Eleconcs Vol.20, No.3, July 2011 Real-coded Quanum Evoluonay Algohm fo Global Numecal Opmzaon wh Connuous Vaables GAO Hu 1 and ZHANG Ru 2 (1.School of Taffc and Tanspoaon, Souhwes Jaoong

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

Simulation of Non-normal Autocorrelated Variables

Simulation of Non-normal Autocorrelated Variables Jounal of Moden Appled Sascal Mehods Volume 5 Issue Acle 5 --005 Smulaon of Non-nomal Auocoelaed Vaables HT Holgesson Jönöpng Inenaonal Busness School Sweden homasholgesson@bshse Follow hs and addonal

More information

A hybrid method to find cumulative distribution function of completion time of GERT networks

A hybrid method to find cumulative distribution function of completion time of GERT networks Jounal of Indusal Engneeng Inenaonal Sepembe 2005, Vol., No., - 9 Islamc Azad Uvesy, Tehan Souh Banch A hybd mehod o fnd cumulave dsbuon funcon of compleon me of GERT newos S. S. Hashemn * Depamen of Indusal

More information

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland The Unque Soluon of Sochasc Dffeenal Equaons Dech Rye RyeDM@gawne.ch Mdaweg 3 CH-4500 Solohun Swzeland Phone +4132 621 13 07 Tme evesal n sysems whou an exenal df sngles ou he an-iô negal. Key wods: Sochasc

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae

More information

Solution of Non-homogeneous bulk arrival Two-node Tandem Queuing Model using Intervention Poisson distribution

Solution of Non-homogeneous bulk arrival Two-node Tandem Queuing Model using Intervention Poisson distribution Volume-03 Issue-09 Sepembe-08 ISSN: 455-3085 (Onlne) RESEARCH REVIEW Inenaonal Jounal of Muldscplnay www.jounals.com [UGC Lsed Jounal] Soluon of Non-homogeneous bulk aval Two-node Tandem Queung Model usng

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

Hybrid lattice Boltzmann finite-difference simulation of axisymmetric swirling and rotating flows

Hybrid lattice Boltzmann finite-difference simulation of axisymmetric swirling and rotating flows INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS Int. J. Nume. Meth. Fluds 27; 53:177 1726 Publshed onlne 1 Octobe 26 n Wley InteScence www.ntescence.wley.com)..138 Hybd lattce Boltzmann fnte-dffeence

More information

Course Outline. 1. MATLAB tutorial 2. Motion of systems that can be idealized as particles

Course Outline. 1. MATLAB tutorial 2. Motion of systems that can be idealized as particles Couse Oulne. MATLAB uoal. Moon of syses ha can be dealzed as pacles Descpon of oon, coodnae syses; Newon s laws; Calculang foces equed o nduce pescbed oon; Deng and solng equaons of oon 3. Conseaon laws

More information

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced

More information

Cubic Bezier Homotopy Function for Solving Exponential Equations

Cubic Bezier Homotopy Function for Solving Exponential Equations Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.

More information

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3 elave moon L4:1 To appl Newon's laws we need measuemens made fom a 'fed,' neal efeence fame (unacceleaed, non-oang) n man applcaons, measuemens ae made moe smpl fom movng efeence fames We hen need a wa

More information

CHAPTER 3 DETECTION TECHNIQUES FOR MIMO SYSTEMS

CHAPTER 3 DETECTION TECHNIQUES FOR MIMO SYSTEMS 4 CAPTER 3 DETECTION TECNIQUES FOR MIMO SYSTEMS 3. INTRODUCTION The man challenge n he paccal ealzaon of MIMO weless sysems les n he effcen mplemenaon of he deeco whch needs o sepaae he spaally mulplexed

More information

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion

More information

Modeling the Filament Formation in the Wet Spinning of Synthetic Fiber from Polymer Solutions

Modeling the Filament Formation in the Wet Spinning of Synthetic Fiber from Polymer Solutions heoecal Foundaons of hemcal Engneeng Vol. 3. No 3 1996. pp. 295-31 anslaed fom eoecheske Osnovy Khmchesko ekhnolog. Vol. 3. No. 3. 1996. pp. 327-334 Ognal Russan ex opygh 1996 by Kalabn Paksve Kukushkn.

More information

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy

More information

Radial Motion of Two Mutually Attracting Particles

Radial Motion of Two Mutually Attracting Particles Radal Moon of Two Muually Aacng Pacles Cal E. Mungan, U.S. Naval Academy, Annapols, MD A pa of masses o oppose-sgn chages eleased fom es wll move decly owad each ohe unde he acon of he nvesedsance-squaed

More information

Journal of Engineering Science and Technology Review 7 (1) (2014) Research Article

Journal of Engineering Science and Technology Review 7 (1) (2014) Research Article Jes Jounal o Engneeng Scence and echnology Revew 7 5 5 Reseach Acle JOURNAL OF Engneeng Scence and echnology Revew www.jes.og Sudy on Pedcve Conol o ajecoy ackng o Roboc Manpulao Yang Zhao Dep. o Eleconc

More information

Rotor profile design in a hypogerotor pump

Rotor profile design in a hypogerotor pump Jounal of Mechancal Scence and Technology (009 459~470 Jounal of Mechancal Scence and Technology www.spngelnk.com/conen/78-494x DOI 0.007/s06-009-007-y oo pofle desgn n a hypogeoo pump Soon-Man Kwon *,

More information

MCTDH Approach to Strong Field Dynamics

MCTDH Approach to Strong Field Dynamics MCTDH ppoach o Song Feld Dynamcs Suen Sukasyan Thomas Babec and Msha Ivanov Unvesy o Oawa Canada Impeal College ondon UK KITP Sana Babaa. May 8 009 Movaon Song eld dynamcs Role o elecon coelaon Tunnel

More information

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing Peenaon fo Theoecal Condened Mae Phyc n TU Beln Geen-Funcon and GW appoxmaon Xnzheng L Theoy Depamen FHI May.8h 2005 Elecon n old Oulne Toal enegy---well olved Sngle pacle excaon---unde developng The Geen

More information

Basic molecular dynamics

Basic molecular dynamics 1.1, 3.1, 1.333,. Inoducon o Modelng and Smulaon Spng 11 Pa I Connuum and pacle mehods Basc molecula dynamcs Lecue Makus J. Buehle Laboaoy fo Aomsc and Molecula Mechancs Depamen of Cvl and Envonmenal Engneeng

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

A multi-band approach to arterial traffic signal optimization. Nathan H. Gartner Susan F. Assmann Fernando Lasaga Dennin L. Hou

A multi-band approach to arterial traffic signal optimization. Nathan H. Gartner Susan F. Assmann Fernando Lasaga Dennin L. Hou A mul-an appoach o aeal affc sgnal opmzaon Nahan H. Gane Susan F. Assmann Fenano Lasaga Dennn L. Hou MILP- The asc, symmec, unfom-h anh maxmzaon polem MILP- Exens he asc polem o nclue asymmec anhs n opposng

More information

Physics 201 Lecture 15

Physics 201 Lecture 15 Phscs 0 Lecue 5 l Goals Lecue 5 v Elo consevaon of oenu n D & D v Inouce oenu an Iulse Coens on oenu Consevaon l oe geneal han consevaon of echancal eneg l oenu Consevaon occus n sses wh no ne eenal foces

More information

to Assess Climate Change Mitigation International Energy Workshop, Paris, June 2013

to Assess Climate Change Mitigation International Energy Workshop, Paris, June 2013 Decomposng he Global TIAM-Maco Maco Model o Assess Clmae Change Mgaon Inenaonal Enegy Wokshop Pas June 2013 Socaes Kypeos (PSI) & An Lehla (VTT) 2 Pesenaon Oulne The global ETSAP-TIAM PE model and he Maco

More information

Answers to Tutorial Questions

Answers to Tutorial Questions Inoducoy Mahs ouse Answes.doc Answes o Tuoal Quesons Enjoy wokng hough he examples. If hee ae any moe quesons, please don hesae o conac me. Bes of luck fo he exam and beyond, I hope you won need. Tuoal

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

calculating electromagnetic

calculating electromagnetic Theoeal mehods fo alulang eleomagne felds fom lghnng dshage ajeev Thoapplll oyal Insue of Tehnology KTH Sweden ajeev.thoapplll@ee.kh.se Oulne Despon of he poblem Thee dffeen mehods fo feld alulaons - Dpole

More information

University of California, Davis Date: June xx, PRELIMINARY EXAMINATION FOR THE Ph.D. DEGREE ANSWER KEY

University of California, Davis Date: June xx, PRELIMINARY EXAMINATION FOR THE Ph.D. DEGREE ANSWER KEY Unvesy of Calfona, Davs Dae: June xx, 009 Depamen of Economcs Tme: 5 hous Mcoeconomcs Readng Tme: 0 mnues PRELIMIARY EXAMIATIO FOR THE Ph.D. DEGREE Pa I ASWER KEY Ia) Thee ae goods. Good s lesue, measued

More information

P R = P 0. The system is shown on the next figure:

P R = P 0. The system is shown on the next figure: TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples

More information

Transient Thermal Stress Prediction Due To Flow of Coolant Through Hot Pipe

Transient Thermal Stress Prediction Due To Flow of Coolant Through Hot Pipe Eng. & Tech. Jounal Vol. 9, No., Tansen Themal Sess Pedcon Due To Flow of Coolan Though Ho Ppe D. Jalal M. Jall* & Receved on: // Acceped on: // Anes F. Saad* Absac Tansen hemal sesses n ppe wall due o

More information

STABILITY CRITERIA FOR A CLASS OF NEUTRAL SYSTEMS VIA THE LMI APPROACH

STABILITY CRITERIA FOR A CLASS OF NEUTRAL SYSTEMS VIA THE LMI APPROACH Asan Jounal of Conol, Vol. 6, No., pp. 3-9, Mach 00 3 Bef Pape SABILIY CRIERIA FOR A CLASS OF NEURAL SYSEMS VIA HE LMI APPROACH Chang-Hua Len and Jen-De Chen ABSRAC In hs pape, he asypoc sably fo a class

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy

More information

HEAT FLUX ESTIMATION IN THIN-LAYER DRYING. Olivier Fudym Christine Carrère-Gée Didier Lecomte Bruno Ladevie

HEAT FLUX ESTIMATION IN THIN-LAYER DRYING. Olivier Fudym Christine Carrère-Gée Didier Lecomte Bruno Ladevie Invese Poblems n Engneeng : Theoy and Pacce d In Coneence on Invese Poblems n Engneeng June -8, 999, Po Ludlow, WA, UA HT5 HEAT FLUX ETIMATION IN THIN-LAYER DRYING Olve Fudym Chsne Caèe-Gée Dde Lecome

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu

More information

Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate

Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate ucs Nucleus Nucleus omaon cal supesauaon Mng o eucs, empeaue, ec. Pmay pacle Gowh Inegaon o uson-lme pacle gowh Nanopacles Agglomeaon eagglomeaon Agglomeae Sablsaon o he nanopacles agans agglomeaon! anspo

More information

2 shear strain / L for small angle

2 shear strain / L for small angle Sac quaons F F M al Sess omal sess foce coss-seconal aea eage Shea Sess shea sess shea foce coss-seconal aea llowable Sess Faco of Safe F. S San falue Shea San falue san change n lengh ognal lengh Hooke

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

Molecular dynamics modeling of thermal and mechanical properties

Molecular dynamics modeling of thermal and mechanical properties Molecula dynamcs modelng of hemal and mechancal popees Alejando Sachan School of Maeals Engneeng Pudue Unvesy sachan@pudue.edu Maeals a molecula scales Molecula maeals Ceamcs Meals Maeals popees chas Maeals

More information

Integer Programming Models for Decision Making of. Order Entry Stage in Make to Order Companies 1. INTRODUCTION

Integer Programming Models for Decision Making of. Order Entry Stage in Make to Order Companies 1. INTRODUCTION Inege Pogammng Models fo Decson Makng of Ode Eny Sage n Make o Ode Companes Mahendawah ER, Rully Soelaman and Rzal Safan Depamen of Infomaon Sysems Depamen of Infomacs Engneeng Insu eknolog Sepuluh Nopembe,

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as

More information

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions EMA5 Lecue 3 Seady Sae & Noseady Sae ffuso - Fck s d Law & Soluos EMA 5 Physcal Popees of Maeals Zhe heg (6) 3 Noseady Sae ff Fck s d Law Seady-Sae ffuso Seady Sae Seady Sae = Equlbum? No! Smlay: Sae fuco

More information

COMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS

COMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS ultscence - XXX. mcocd Intenatonal ultdscplnay Scentfc Confeence Unvesty of skolc Hungay - pl 06 ISBN 978-963-358-3- COPLEENTRY ENERGY ETHOD FOR CURVED COPOSITE BES Ákos József Lengyel István Ecsed ssstant

More information

8. HAMILTONIAN MECHANICS

8. HAMILTONIAN MECHANICS 8. HAMILTONIAN MECHANICS In ode o poceed fom he classcal fomulaon of Maxwell's elecodynamcs o he quanum mechancal descpon a new mahemacal language wll be needed. In he pevous secons he elecomagnec feld

More information

TRINOMIAL TREE OPTION PRICING VIA THRESHOLD-GARCH MODEL

TRINOMIAL TREE OPTION PRICING VIA THRESHOLD-GARCH MODEL IJRRAS 7 () Ma wwwapapesscom/volumes/vol7issue/ijrras_7 5pd TRINOMIAL TREE OPTION PRICING VIA THRESHOLD-GARCH MODEL Su-Ing Lu Depamen o Fnance S Hsn Unves # Mu-Ca Road Sec Tape 64 Tawan ROC ABSTRACT In

More information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs)

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs) USOD 005 uecal Sudy of Lage-aea An-Reonan Reflecng Opcal Wavegude (ARROW Vecal-Cavy Seconduco Opcal Aplfe (VCSOA anhu Chen Su Fung Yu School of Eleccal and Eleconc Engneeng Conen Inoducon Vecal Cavy Seconduco

More information

Computer Propagation Analysis Tools

Computer Propagation Analysis Tools Compue Popagaion Analysis Tools. Compue Popagaion Analysis Tools Inoducion By now you ae pobably geing he idea ha pedicing eceived signal sengh is a eally impoan as in he design of a wieless communicaion

More information

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund

More information

Multistage Median Ranked Set Sampling for Estimating the Population Median

Multistage Median Ranked Set Sampling for Estimating the Population Median Jounal of Mathematcs and Statstcs 3 (: 58-64 007 ISSN 549-3644 007 Scence Publcatons Multstage Medan Ranked Set Samplng fo Estmatng the Populaton Medan Abdul Azz Jeman Ame Al-Oma and Kamaulzaman Ibahm

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

Set of square-integrable function 2 L : function space F

Set of square-integrable function 2 L : function space F Set of squae-ntegable functon L : functon space F Motvaton: In ou pevous dscussons we have seen that fo fee patcles wave equatons (Helmholt o Schödnge) can be expessed n tems of egenvalue equatons. H E,

More information

THE PHYSICS BEHIND THE SODACONSTRUCTOR. by Jeckyll

THE PHYSICS BEHIND THE SODACONSTRUCTOR. by Jeckyll THE PHYSICS BEHIND THE SODACONSTRUCTOR b Jeckll THE PHYSICS BEHIND THE SODACONSTRUCTOR - b Jeckll /3 CONTENTS. INTRODUCTION 5. UNITS OF MEASUREMENT 7 3. DETERMINATION OF THE PHYSICAL CONSTANTS ADOPTED

More information

Modeling Background from Compressed Video

Modeling Background from Compressed Video Modelng acgound fom Compessed Vdeo Weqang Wang Daong Chen Wen Gao Je Yang School of Compue Scence Canege Mellon Unvesy Psbugh 53 USA Insue of Compung echnology &Gaduae School Chnese Academy of Scences

More information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

More information

Delay-Dependent Control for Time-Delayed T-S Fuzzy Systems Using Descriptor Representation

Delay-Dependent Control for Time-Delayed T-S Fuzzy Systems Using Descriptor Representation 82 Inenaonal Jounal of Conol Auomaon and Sysems Vol 2 No 2 June 2004 Delay-Dependen Conol fo me-delayed -S Fuzzy Sysems Usng Descpo Repesenaon Eun ae Jeung Do Chang Oh and Hong Bae ak Absac: hs pape pesens

More information

Accelerated Sequen.al Probability Ra.o Test (SPRT) for Ongoing Reliability Tes.ng (ORT)

Accelerated Sequen.al Probability Ra.o Test (SPRT) for Ongoing Reliability Tes.ng (ORT) cceleaed Sequen.al Pobably Ra.o Tes (SPRT) fo Ongong Relably Tes.ng (ORT) Mlena Kasch Rayheon, IDS Copygh 25 Rayheon Company. ll ghs eseved. Cusome Success Is Ou Msson s a egseed adema of Rayheon Company

More information

Implementation of Quantized State Systems in MATLAB/Simulink

Implementation of Quantized State Systems in MATLAB/Simulink SNE T ECHNICAL N OTE Implemenaon of Quanzed Sae Sysems n MATLAB/Smulnk Parck Grabher, Mahas Rößler 2*, Bernhard Henzl 3 Ins. of Analyss and Scenfc Compung, Venna Unversy of Technology, Wedner Haupsraße

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

Time-Dependent Density Functional Theory in Condensed Matter Physics

Time-Dependent Density Functional Theory in Condensed Matter Physics Exenal Revew on Cene fo Compuaonal Scences Unvesy of Tsukuba 013..18-0 Tme-Dependen Densy Funconal Theoy n Condensed Mae Physcs K. YABANA Cene fo Compuaonal Scences Unvesy of Tsukuba Collaboaos: G.F. Besch

More information

Variability Aware Network Utility Maximization

Variability Aware Network Utility Maximization aably Awae Newok ly Maxmzaon nay Joseph and Gusavo de ecana Depamen of Eleccal and Compue Engneeng, he nvesy of exas a Ausn axv:378v3 [cssy] 3 Ap 0 Absac Newok ly Maxmzaon NM povdes he key concepual famewok

More information

P 365. r r r )...(1 365

P 365. r r r )...(1 365 SCIENCE WORLD JOURNAL VOL (NO4) 008 www.scecncewoldounal.og ISSN 597-64 SHORT COMMUNICATION ANALYSING THE APPROXIMATION MODEL TO BIRTHDAY PROBLEM *CHOJI, D.N. & DEME, A.C. Depatment of Mathematcs Unvesty

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

) from i = 0, instead of i = 1, we have =

) from i = 0, instead of i = 1, we have = Chape 3: Adjusmen Coss n he abou Make I Movaonal Quesons and Execses: Execse 3 (p 6): Illusae he devaon of equaon (35) of he exbook Soluon: The neempoal magnal poduc of labou s epesened by (3) = = E λ

More information

Energy in Closed Systems

Energy in Closed Systems Enegy n Closed Systems Anamta Palt palt.anamta@gmal.com Abstact The wtng ndcates a beakdown of the classcal laws. We consde consevaton of enegy wth a many body system n elaton to the nvese squae law and

More information

r P + '% 2 r v(r) End pressures P 1 (high) and P 2 (low) P 1 , which must be independent of z, so # dz dz = P 2 " P 1 = " #P L L,

r P + '% 2 r v(r) End pressures P 1 (high) and P 2 (low) P 1 , which must be independent of z, so # dz dz = P 2  P 1 =  #P L L, Lecue 36 Pipe Flow and Low-eynolds numbe hydodynamics 36.1 eading fo Lecues 34-35: PKT Chape 12. Will y fo Monday?: new daa shee and daf fomula shee fo final exam. Ou saing poin fo hydodynamics ae wo equaions:

More information

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes Quanave Cenral Dogma I Reference hp//book.bonumbers.org Inaon ranscrpon RNA polymerase and ranscrpon Facor (F) s bnds o promoer regon of DNA ranscrpon Meenger RNA, mrna, s produced and ranspored o Rbosomes

More information