Spurious oscillations and conservation errors in interface-capturing schemes
|
|
- Daisy Sanders
- 5 years ago
- Views:
Transcription
1 Cener for Turbulence Research Annual Research Brefs Spurous oscllaons and conservaon errors n nerface-capurng schemes By E. Johnsen Movaon and objecves When shock-capurng schemes are appled o flows of mulple componens, spurous oscllaons usually develop a nerfaces (e.g., n Mulder e al. 199) and propagae hrough he flow, hus conamnang he soluon. These perurbaons are parcularly problemac when small flucuaons are mporan flow feaures (e.g., n acouscs or urbulence), and n general mulcomponen mul-dmensonal flows where hese errors may rgger undesrable nsables a nerfaces. The presen work focuses on nerface-capurng schemes, n whch nerfaces are no resolved on he grd bu are regularzed over a few compuaonal cells by addng numercal dsspaon. In he cone of nerface capurng, Abgrall (1996) raced such errors o he dsconnuy n he rao of specfc heas n he energy equaon and suggesed a means o overcome hs drawback for frs- and second-order accurae quas-conservave schemes. In he proposed quas-conservave formulaon, he Euler equaons are sll wren n conservave form, so ha correc shock speeds are acheved, bu he ranspor equaons used o descrbe he nerface are non-conservave. Hence, he mass of each speces s no eacly conserved. The correcon proposed by Abgrall (1996) mus be modfed for hgher-order accurae spaal dscrezaons, such as Weghed Essenally Non-Oscllaory (WENO) mehods (Lu e al. 1994): Johnsen & Colonus (6) showed ha a reconsrucon of he averaged prmve varables s requred n a fne volume nerface-capurng mplemenaon of WENO o mulcomponen flows. In relevan sudes, Larrouurou (1991) observed ha negave values of he mass fracon may be acheved. The objecve of he presen paper s o assess he level a whch conservaon losses, spurous oscllaons and negave mass fracons affec he soluons o mulcomponen flow problems n an nerface-capurng framework. Secon descrbes he governng equaons and he numercal mehods and Secon 3 presens resuls for wo es problems; n parcular, he behavor of he error s suded for dfferen formulaons of he governng equaons and under grd refnemen. Fnally, he fndngs are summarzed and an oulook for fuure work s oulned.. Numercal mehods For smplcy, he 1-D Euler equaons are consdered: ρ ρu ρu + ρu + p =, (.1) E (E + p)u In nerface-rackng mehods, such as he Ghos Flud Mehod (Fedkw e al. 1999) or pressure evoluon algorhms (Karn 1994), oscllaons are usually prevened by solvng a dfferen form of he equaons a nerfaces, so ha errors n he conservaon of oal energy may occur.
2 116 E. Johnsen where ρ s he densy, u s he velocy, E s he oal energy, p s he pressure, denoes me and denoes poson. For deal gases, he followng equaon of sae closes he sysem: E = p γ 1 + ρu, (.) where γ s he rao of specfc heas. When solvng he sysem of Eqs. (.1) and (.) for mulple fluds, an addonal equaon mus be specfed n order o deermne he approprae value of γ. In he presen problems, he dfferen flud componens are assumed mmscble. An nerface beween wo flud componens can be represened by a dsconnuy n γ. Snce maeral nerfaces are adveced by he flow, φ + uφ =, (.3) where φ could be any funcon of he maeral properes,.e., φ = φ(γ). Thus, Eq. (.3) specfes he locaon of he nerface. Because Eq. (.3) s no n conservave form, he sysem of equaons s ermed quas-conservave. Usng he connuy equaon, he ranspor equaon for maeral properes can be wren n conservave form: (ρφ) + (ρuφ) = (.4) In nerface-capurng schemes, φ s usually a feld varable. Numercal dsspaon s nroduced, such ha nerfaces dffuse over a few grd pons, n analogy o shock capurng. Thus, even hough he fluds are assumed mmscble, here ess a hn regon beween wo fluds made up parly of one flud, parly of anoher one. Ths dffuse nerface s a purely numercal arfac and s epeced o reduce o a sharp one as As a resul, an approprae defnon of γ mus be specfed. Based on he defnon of he mass fracon, Y = ρ /ρ m, where he subscrps and m denoe one componen and he mure, respecvely, and ha of he gas consan, R m = R u /M m, where R u s he unversal gas consan and M s he molar mass, he gas consan for a mure of wo componens s gven by: γ 1 1 M γ 1 γ µ = γ M 1Y 1 + γ Y 1 M Y 1 + Y 1 γ 1 1 M γ 1, (.5) wh Y = 1 Y 1. Thus, φ could be a funcon of Y 1. Though desrable, a physcal defnon of γ whn hs dffuse regon (.e., usng Eq. (.5)) s no srcly requred, snce hs regon vanshes as he grd s suffcenly refned. In fac, n order o preven spurous nerface oscllaons n frs- and second-order accurae schemes, Abgrall (1996) uses he funcon, φ = 1 γ = γ 1 φ, (.6) o defne γ drecly n Eq. (.). Oher funcons of γ lead o nerface oscllaons (Karn 1994). A drawback of Eq. (.6) s ha addonal equaons mus be added f he evoluon of dfferen gases of he same γ s consdered. As an alernave, Shyue (1998) uses he mass fracon and defnes 1 φ = Y 1, wh γ 1 = Y 1 γ Y 1 γ 1. (.7) Snce C v = R/(γ 1), Eq..7 mples ha he followng assumpon s made: R m = R 1 = R, or, alernaely, M m = M 1 = M. R m s no requred o solve he mulcomponen Euler equaons supplemened by a ranspor equaon for whch γ s epressed
3 Oscllaons and conservaon errors n nerface-capurng schemes 117 by Eq. (.6) or Eq. (.7), bu s needed only n he pos-processng of he resuls, e.g., f he emperaure s of neres. On he oher hand, f Eq. (.5) s used, R m mus be nally specfed n each flud. In he formulaons of Abgrall and Shyue, an nal dsrbuon of 1/(γ 1) or Y 1 s specfed and evolved accordng o he advecon Eq. (.3), wh approprae modfcaons o he Remann solver. Thus, he equaon of sae vares smoohly across he nerface. A fne volume dscrezaon of he equaons of moon s currenly employed. The governng equaons can be wren n sem-dscree form: dq = f +1/ f 1/, (.8) d where q s he vecor of conserved varables and f +1/ s he numercal flu vecor. A hrd-order accurae Toal Varaon Dmnshng Runge-Kua scheme s used for me marchng (Goleb & Shu 1998). The spaal reconsrucon s carred ou n physcal space and s based on WENO (ffh-order accurae, unless oherwse menoned); he La-Fredrchs (LF) solver s used for upwndng. A dffculy wh he non-conservave form of he ranspor Eq. (.3) s ha he appromae Remann solvers mus be modfed accordngly (Saurel & Abgrall 1999). For nsance, he sem-dscree verson of Eq. (.3) usng LF s: [ φ u R +1/ +φl +1/ α(φr +1/ φl +1/ ) ] [ φ u R 1/ +φl 1/ α(φr 1/ φl 1/ ) dφ =, d (.9) where he superscrps L and R denoe he value of he funcon on he lef and on he rgh of a cell edge, and α s he larges absolue value of he egenvalue over he doman. Several ypes of errors are hghlghed n he followng secon. The frs s he generaon of spurous pressure oscllaons due o he dsconnuy n γ n he energy equaon (Abgrall 1996). Ths error propagaes o he momenum hrough he pressure graden and hus alers he velocy, whch n urn affecs he densy. A second error s he occurrence of mass fracon values ousde of he allowed bounds because of an nconssen couplng of he addonal ranspor equaon o he Euler sysem (Larrouurou 1991; Abgrall & Karn 1). Fnally, he hrd error consdered n he presen work perans o he mass conservaon of each speces. The behavor of each of hese errors depends on he sysem of equaons ha s solved. Table summarzes he dfferen formulaons. Y sands for mass fracon, γ sands for he ranspor varable based on he rao of specfc heas, FC sands for fully conservave, QC for quas-conservave (QCC mples ha he conservave varables are reconsruced n he Euler equaons, whle QCP mples ha he average prmve varables are reconsruced), M denoes he physcal epresson for γ,.e., Eq. (.5). The WENO varables refer o he varables ha are reconsruced usng he WENO procedure. ] 3. Resuls In order o undersand fundamenal problems n nerface-capurng schemes, wo 1-D problems are consdered: he advecon of a maeral nerface, whch s suded n grea deal, and he neracon of a shock wh an nerface, whch s of praccal relevance. A reconsrucon n characersc space may lead o smaller oscllaons a nerfaces, bu wll no remove hem.
4 118 E. Johnsen Table Dfferen schemes consdered n he presen sudy. Scheme Transpor varable Advecon equaon Equaon for γ WENO varables Y -FC-M ρy 1 Eq. (.4) Eq. (.5) Conservave Y -FC ρy 1 Eq. (.4) Eq. (.7) Conservave Y -QCC Y 1 Eq. (.3) Eq. (.7) Conservave Y -QCP Y 1 Eq. (.3) Eq. (.7) Prmve Y -QCP-M Y 1 Eq. (.3) Eq..5 Prmve γ-qcp 1/(γ 1) Eq. (.3) Eq. (.6) Prmve 3. Advecon of a maeral nerface The smples possble case of he advecon of a maeral nerface beween wo dfferen gases s frs suded n deal. A op-ha dsrbuon of helum n nrogen s movng a a consan velocy (equal o he sound speed n helum) wh unform pressure. The doman s perodc and has 11 pons (unless oherwse menoned), wh grd spacng, =. The varables are non-dmensonalzed by he densy, ρ He, and sound speed, c He, of helum, and he doman lengh, L. A consan / = 4 s used and he fnal me s f c He /L = 4. (.e., he soluon s ploed afer he nerface has raveled wo perods). The nal condons are as follows: ρ/ρ He = p a/rt a p a /R He T a, u/c He = (1,, ), p/ρ He c He = 1/γ He, { 1, f 5 5, Y He =, oherwse, (3.1) where he subscrp a refers o amben condons and Y N = 1 Y He. Frs, he overall behavor of a fully conservave (Y -FC), and a quas-conservave (Y -QCP) scheme, boh of whch employ he mass fracon as he relevan varable n he relevan ranspor equaon. In he quas-conservave scheme, he average prmve varables are reconsruced. Fgure 1 shows profles a f for boh schemes. Oscllaons are observed n all felds for he fully conservave scheme, parcularly n he pressure and velocy; he densy and γ acheve values ousde of he allowed bounds. Somewha surprsngly, he γ profle s more dffuse han n he quas-conservave case. Because of he dsconnuy n γ (Abgrall 1996) and because of he nconssen couplng beween he energy and ranspor equaons (Johnsen & Colonus 6), he fully conservave scheme leads o an error n pressure a he end of he frs me sep. Due o he couplng of he energy, momenum and connuy equaons, he pressure oscllaons generae errors n he velocy and densy felds as well. No oscllaons are vsble n he quas- As shown n Johnsen & Colonus (6), he advecon form of he ranspor equaon alone s no suffcen o preven spurous nerface oscllaons for WENO schemes. If he radonal reconsrucon of he conservave varables s carred ou (Y -QCC scheme), oscllaons are generaed.
5 Oscllaons and conservaon errors n nerface-capurng schemes ρ/ρhe 4 u/che (a) Densy (b) Velocy. 5 γ (c) Rao of specfc heas. p/ρhec He (d) Pressure. Fgure Profles a f for he advecon of a dsrbuon of helum n nrogen. Dashed: fully conservave (Y -FC); sold: quas-conservave (Y -QCP). ma p pa /pa (a) Normalzed L error n pressure.. mn(y (1), Y () ) (b) Mnmum mass fracon undershoo. Fgure. Advecon of a op-ha dsrbuon of helum n nrogen. Dashed: fully conservave (Y -FC); sold: quas-conservave (Y -QCP). conservave scheme; n fac he only error n he pressure and velocy are a he round-off level (Johnsen & Colonus 6). Ne, he pressure oscllaons and undershoos n he mass fracon are quanfed. Fgure shows he normalzed L error n pressure and he mnmum value of he mass fracon a every me sep as a funcon of me. When usng he fully conservave formulaon (Y -FC), he pressure error can be large over he course of he smulaon (up o %). In addon, he mass fracon may ake a negave value, hough he error s small (up o %); hough no shown here, he upper bound s also oversho (.e., Y > 1). Ths error n he mass fracon s mporan, because affecs he value of γ n he Euler
6 1 E. Johnsen e + e + M()/M() 1 -e -14-4e -14 E()/E() 1 - e e (a) Normalzed error n oal mass (b) Normalzed error n oal energy. MHe()/MHe() (c) Normalzed error n mass of helum. KE()/KE() (d) Normalzed error n knec energy. Fgure 3. Advecon of a dsrbuon of helum n nrogen. Dashed: fully conservave (Y -FC); sold: quas-conservave (Y -QCP). equaons. I should be noed ha negave mass fracons are even observed n sngleflud problems (Abgrall & Karn 1), n whch case hey do no affec he flow. On he oher hand, he quas-conservave scheme (Y -QCP) does no ehb such problems, as he error s observed a he round-off level. Ne, he conservaon errors are quanfed. Fgure 3 plos he normalzed error n oal mass, oal energy, mass of helum, and oal knec energy as a funcon of me. As epeced from he conservave form of he Euler equaons, he oal mass and energy are conserved o he round-off level wh boh schemes. However, when usng he quas-conservave scheme (Y -QCP), he mass of helum ncreases over he course of he smulaon, due o numercal dsspaon; hough no shown here, he mass of nrogen follows a smlar behavor, bu decreases by mass conservaon. The knec energy ehbs small oscllaons n he fully conservave scheme (Y -FC) due o he flucuang velocy feld nduced by he pressure oscllaons. In order o assess he effec of conservaon errors and pressure oscllaons, her dependence on he grd sze s consdered. Fgure 4 shows he normalzed L error n pressure and he mnmum mass fracon for he fully conservave scheme (Y -FC), and he error n he mass of helum for he quas-conservave scheme (Y -QCP) as a funcon of me for N = 5, 1, and 4 When usng he fully conservave scheme (Y -FC), he amplude of he pressure oscllaons decreases slghly wh addonal grd pons; s no clear wheher he oscllaons vansh or wheher hey converge o some value. When consderng he quas-conservave scheme (Y -QCP), he error n he oal mass clearly decreases wh addonal grd pons.
7 Oscllaons and conservaon errors n nerface-capurng schemes 11 ma p pa /pa (a) Normalzed L error n pressure (fully conservave scheme: Y -FC). mn(y (1), Y () ) (b) Mnmum mass fracon undershoo (fully conservave scheme: Y -FC). MHe()/MHe() (c) Error n he mass of helum (quasconservave scheme: Y -QCP). Fgure 4. Advecon of a dsrbuon of helum n nrogen. Dashed: N = 5; sold: N = 1; doed: N = ; dashed-doed: N = 4 The pressure oscllaons and conservaon errors are epeced o be affeced by he amoun of dsspaon of he scheme. Ths propery s esed by consderng dfferen orders of accuracy of he WENO scheme. Fgure 5 shows he normalzed L error n pressure and he mnmum mass fracon for he fully conservave scheme (Y -FC), and he oal mass of helum for he quas-conservave scheme (Y -QCP) as a funcon of me for dfferen orders of accuracy of WENO. When usng he fully conservave scheme, he pressure oscllaons and undershoos n he mass fracon have smlar amplude bu a hgher frequency as he order of accuracy s ncreased. In he very dsspave frs-order scheme, so much dsspaon has been nroduced ha he mass fracon no longer acheves a value of zero afer a gven me. When usng he quas-conservave scheme (QCP), he error n he oal mass of helum decreases as he order of accuracy s ncreased. Ths behavor s epeced because a hgher-order accurae reconsrucon mples less dsspaon. Ne, he dfference beween mass fracon-based (Y -QCP) and γ-based (γ-qcp) algorhms s consdered. Fgure 6 shows he γ profle a he end of he run and he error n mass of helum as a funcon of me. The γ profles are vrually dencal, hus mplyng lle dfference n he calculaons of he Euler equaons. However, he γ-based mehod shows slghly less dsspaon n ha a smaller mass of helum s los. Fnally, he effec of he defnon of γ s consdered. Fgure 7 shows he normalzed L error n pressure, he mnmum value of he mass fracon and he error n mass of helum as a funcon of me for he dfferen defnons of γ based on Eqs. (.5) and (.7). Pressure oscllaons are generaed for he fully conservave schemes and when he
8 1 E. Johnsen 3 3 ma p pa /pa (a) Normalzed L error n pressure (fully conservave scheme: Y -FC). MHe()/MHe() 1 4 mn(y (1), Y () ) (c) Error n he mass of helum (quasconservave scheme: Y -QCP) (b) Mnmum mass fracon undershoo (fully conservave scheme: Y -FC). Fgure 5. Advecon of a dsrbuon of helum n nrogen. Dashed: WENO1; sold: WENO3; doed: WENO5; dashed-doed: WENO7. γ (a) Specfc hea of helum a f. MHe()/MHe() (b) Mass helum as a funcon of me. Fgure 6. Advecon of a dsrbuon of helum n nrogen wh quas-conservave schemes. Dashed: γ; sold: mass fracon. physcal mure defnon s used (even n quas-conservave form), whle he quasconservave scheme wh γ defned n Eq. (.7) s he only scheme ha does no generae pressure oscllaons. Surprsngly, he fully conservave scheme wh he physcal mure defnon (Y -FC-M) shows smaller oscllaons han he quas-conservave scheme wh he physcal mure defnon (Y -QCP-M). For he mass fracon, he fully conservave scheme (Y -FC) leads o he larges errors, bu hs error decreases when he physcal mure defnon s used. The quas-conservave schemes hardly show any error on hs scale. As epeced, he fully conservave schemes lead o no errors n he mass of
9 Oscllaons and conservaon errors n nerface-capurng schemes (a) Normalzed L error n pressure. ma p pa /pa, Y () ) ma(y (1) (b) Mnmum mass fracon undershoo. MHe()/MHe() (c) Error n he mass of helum. 4. Fgure 7. Advecon of a dsrbuon of helum n nrogen. Dashed: fully conservave (Y -FC); sold: fully conservave wh mure (Y -FC-M); doed: quas-conservave (Y -QCP); dashed doed: quas-conservave wh mure (Y -QCP-M). helum, whle he quas-conservave schemes show a dscrepancy; he scheme based on he physcal defnon of γ shows slghly less dsspaon. 3.. Shock-nerface neracon The mos srngen 1-D es case s he neracon beween a srong shock and an nerface, as consdered by Lu e al. (3). A Mach 9 shock propagang n helum hs a nrogen nerface. The doman has 1 pons, wh grd spacng = 1; non-reflecng boundary condons are used. The varables are non-dmensonalzed by he densy and sound speed of helum, and he doman lengh, L. A consan CFL of / = 5 s used and he fnal me s f c He /L =. The nal condons are as follows: ρ ρ He = u c He = p ρ He c = He Y He = { (γhe+1)m s (γ He 1)Ms p a/rt a +, 1 < 8, p a/r HeT a, 8 1, { ( ) ( 5) + M s 1 γ He+1 M s, 1 < 8, 5, 8 1, p a ρ Hec He p a ρ Hec He [ ] 1 + γhe γ He+1 (M s 1), 1 < 8,, 8 1, { 1, 1 <,, 1, (3.)
10 14 E. Johnsen ρ/ρhe (a) Densy. 8 u/che (b) Velocy. 15 γ (c) Rao of specfc heas. p/ρhec He (d) Pressure. Fgure 8. Profles a f for he shock-nerface problem. Dashed: fully conservave scheme (Y -FC); sold: quas-conservave scheme (Y -QCP). MHe()/MHe() (a) Normalzed mass of helum. mn(y (1), Y () ) (b) Mnmum mass fracon undershoo. Fgure 9. Shock-nerface neracon. Dashed: fully conservave scheme (Y -FC); sold: quas-conservave scheme (Y -QCP). where Y N = 1 Y He, R = R u /M and M s = 9. Clearly, he problem could have been suded as a Remann problem sarng a he me when he shock and nerface concde, bu he presen problem s more relevan o praccal applcaons. Fgure 8 shows he densy, velocy, γ and pressure profles for he fully conservave (Y -FC) and quas-conservave (Y -QCP) schemes usng he mass fracon formulaon. The soluon corresponds ha of a Remann problem wh a lef-movng shock, and a rgh-movng maeral nerface and shock. Oscllaons are observed n he velocy and n he pressure wh he fully conservave scheme. Because such large pressures are acheved, even small oscllaons are large compared o oher flow feaures. The locaon
11 Oscllaons and conservaon errors n nerface-capurng schemes 15 of he maeral nerface s slghly dfferen; however he locaons converge as he grd s refned. I should be noed ha pos-shock oscllaons (Robers 199) are observed downsream of he lef-movng shock, because of s slow speed relave o he grd. Fgure 9 shows he error n he mass of helum and he mnmum value of he mass fracon as a funcon of me. As epeced, he quas-conservave scheme ehbs an error n he mass of he lef gas, due o he non-conservave form of he ranspor equaon. The abrup change n he slope occurs jus as he shock hs he nerface, hus hghlghng he fac ha hs conservaon error may depend on he velocy of he nerface. The fully conservave scheme shows a large undershoo n he mass fracon (over 5%). 4. Conclusons and fuure work In he presen paper, he errors generaed by dfferen formulaons of he governng equaons for nerface-capurng mehods have been characerzed. The problem of he advecon of a maeral was nvesgaed n deal, n order o undersand he dependence of he errors on varous properes; he neracon beween a shock and an nerface llusraed he effecs of such errors n flows of praccal neres. On one hand, spurous pressure oscllaons, whch hen affec he momenum and densy, and negave values of he mass fracon are observed when usng a fully conservave scheme. The amplude of he oscllaons does no seem o decrease rapdly wh grd refnemen and he wavelengh decreases wh he order of accuracy of he scheme. On he oher hand, quas-conservave schemes do no conserve he mass of each speces; hough hs error ncreases wh me, decreases as he grd s refned. The long-erm neres for he curren work les n mul-maeral mng n Raylegh- Taylor and Rchmyer-Meshkov nsably. Therefore, s absoluely necessary o have a basc undersandng of he errors generaed by he reamen of nerfaces n compressble flows n order o correc such effecs when more comple flows are consdered. In order o run reasonable mul-dmensonal problems, hese schemes mus be mplemened n fne dfference form, because of he cos of appromang he negral of he flu n he ransverse drecon. However, addonal modfcaons are requred for he quas-conservave scheme n order o preven he generaon of spurous oscllaons a nerfaces. Acknowledgemens The auhor s graeful for neresng dscussons wh Dr. Sosh Kawa and for he commens by Dr. Mehd Raess on he manuscrp. REFERENCES Abgrall, R How o preven pressure oscllaons n mulcomponen flow calculaons: a quas conservave approach. J. Comp. Phys. 15 (1), Abgrall, R., & Karn, S. 1 Compuaons of compressble mulfluds. J. Comp. Phys. 169 (), Fedkw, R. P., Aslam, T., Merrman, B., & Osher, S A non-oscllaory Euleran approach o nerfaces n mulmaeral flows (he Ghos Flud Mehod). J. Comp. Phys. 15 (), The mass of helum enerng he doman from he lef s subraced.
12 16 E. Johnsen Goleb, S., & Shu, C. W Toal varaon dmnshng Runge-Kua schemes. Mah. Comp. 67, Johnsen, E. & Colonus, T. 6 Implemenaon of WENO schemes n compressble mulcomponen flows. J. Comp. Phys. 19 (), Karn, S Mulcomponen flow calculaons by a conssen prmve algorhm. J. Comp. Phys. 11 (1), Larrouurou, B How o preserve he mass fracons posvy when compung compressble mul-componen flows. J. Comp. Phys. 95 (1), Lu, X. D., Osher, S., & Chan, T Weghed essenally non-oscllaory schemes. J. Comp. Phys. 115 (1), 1. Lu, T. G., Khoo, B. C., & Yeo, K. S. 3 Ghos flud mehod for srong shock mpacng on maeral nerface. J. Comp. Phys. 19 (), Mulder, W., Osher, S., & Sehan, J. A. 199 Compung nerface moon n compressble gas dynamcs. J. Comp. Phys. 1 (), 9 8. Robers, T. W. 199 The behavor of flu dfference splng schemes near slowly movng shock waves. J. Compu. Phys. 9 (1), Saurel, R A smple mehod for compressble mulflud flows. SIAM J. Compu. Phys. 1 (), Shyue, K. M An effcen shock-capurng algorhm for compressble mulcomponen problems. J. Comp. Phys. 14 (1), 8 4. Toro, E., Spruce, M., & Speares, W Resoraon of he conac surface n he HLL-Remann solver. Shock Waves 4 (1), 5 34.
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 informationJ 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 informationHEAT 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[ ] 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 information2.1 Constitutive Theory
Secon.. Consuve Theory.. Consuve Equaons Governng Equaons The equaons governng he behavour of maerals are (n he spaal form) dρ v & ρ + ρdv v = + ρ = Conservaon of Mass (..a) d x σ j dv dvσ + b = ρ v& +
More informationMechanics 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 informationMechanics 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 informationP 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 informationFI 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 informationLinear 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 informationOrdinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s
Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class
More informationFTCS 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( ) () 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 informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More informationCS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4
CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped
More information10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :
. A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one
More informationScattering at an Interface: Oblique Incidence
Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may
More informationTHE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS
THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he
More informationII. Light is a Ray (Geometrical Optics)
II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance:
More informationExistence 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 informationIncluding the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.
Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample
More informationMechanics 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 informationCubic 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 informationOutline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model
Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon
More informationCS286.2 Lecture 14: Quantum de Finetti Theorems II
CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2
More informationGENERATING 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 informationGraduate Macroeconomics 2 Problem set 5. - Solutions
Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K
More informationCH.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 informationOn computing differential transform of nonlinear non-autonomous functions and its applications
On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,
More informationOn 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 informationLecture 9: Dynamic Properties
Shor Course on Molecular Dynamcs Smulaon Lecure 9: Dynamc Properes Professor A. Marn Purdue Unversy Hgh Level Course Oulne 1. MD Bascs. Poenal Energy Funcons 3. Inegraon Algorhms 4. Temperaure Conrol 5.
More informationLecture 18: The Laplace Transform (See Sections and 14.7 in Boas)
Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on
More informationComputing Relevance, Similarity: The Vector Space Model
Compung Relevance, Smlary: The Vecor Space Model Based on Larson and Hears s sldes a UC-Bereley hp://.sms.bereley.edu/courses/s0/f00/ aabase Managemen Sysems, R. Ramarshnan ocumen Vecors v ocumens are
More informationIn the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!
ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal
More informationComb Filters. Comb Filters
The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of
More informationNotes on the stability of dynamic systems and the use of Eigen Values.
Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon
More informationMulti-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach
Mul-Fuel and Med-Mode IC Engne Combuson Smulaon wh a Dealed Chemsry Based Progress Varable Lbrary Approach Conens Inroducon Approach Resuls Conclusons 2 Inroducon New Combuson Model- PVM-MF New Legslaons
More informationVolatility Interpolation
Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local
More informationby Lauren DeDieu Advisor: George Chen
b Laren DeDe Advsor: George Chen Are one of he mos powerfl mehods o nmercall solve me dependen paral dfferenal eqaons PDE wh some knd of snglar shock waves & blow-p problems. Fed nmber of mesh pons Moves
More informationA 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 informationTSS = SST + SSE An orthogonal partition of the total SS
ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally
More informationRelative controllability of nonlinear systems with delays in control
Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.
More informationV.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS
R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon
More informationRobustness Experiments with Two Variance Components
Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference
More informationNumerical Simulation of the Dispersion of a Plume of Exhaust Gases from Diesel and Petrol Engine Vehicles
World Academy of Scence, Engneerng and Technology 67 01 Numercal Smulaon of he Dsperson of a Plume of Exhaus Gases from Desel and Perol Engne Vehcles H. ZAHLOUL, and M. MERIEM-BENZIANE Absrac The obecve
More informationPHYS 1443 Section 001 Lecture #4
PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law
More informationTransient Numerical of Piston Wind in Subway Station. Haitao Bao
Appled Mechancs and Maerals Submed: 2014-07-20 ISSN: 1662-7482, Vols. 644-650, pp 467-470 Acceped: 2014-07-21 do:10.4028/www.scenfc.ne/amm.644-650.467 Onlne: 2014-09-22 2014 Trans Tech Publcaons, Swzerland
More information3. OVERVIEW OF NUMERICAL METHODS
3 OVERVIEW OF NUMERICAL METHODS 3 Inroducory remarks Ths chaper summarzes hose numercal echnques whose knowledge s ndspensable for he undersandng of he dfferen dscree elemen mehods: he Newon-Raphson-mehod,
More informationApproximate 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 informationNATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours
NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all
More informationNumerical Studies on Lip Shock Flow Behaviors over Backward Facing Sharp Edge Step with Hybrid RANS-LES
Numercal Sudes on Lp Shock Flow Behavors over Backward Facng Sharp Edge Sep wh Hybrd RANS-LES Dr. Nrmal Kumar Kund 1 1 Deparmen of Producon Engneerng 1 Veer Surendra Sa Unversy of Technology, Burla, Odsha,
More informationDiffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation
IOSR Journal of Appled hemsry (IOSR-JA) e-issn: 78-5736.Volume 7, Issue 6 Ver. I. (Jun. 4), PP 8-86 Dffuson of Hepane n Polyehylene Vnyl Aceae: odelsaon and Expermenaon Rachd Aman *, Façal oubarak, hammed
More informationTHERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)
Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum
More informationLecture 2 M/G/1 queues. M/G/1-queue
Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly
More information. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.
Mah E-b Lecure #0 Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons are
More informationHow about the more general "linear" scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )?
lmcd Lnear ransformaon of a vecor he deas presened here are que general hey go beyond he radonal mar-vecor ype seen n lnear algebra Furhermore, hey do no deal wh bass and are equally vald for any se of
More informationAppendix H: Rarefaction and extrapolation of Hill numbers for incidence data
Anne Chao Ncholas J Goell C seh lzabeh L ander K Ma Rober K Colwell and Aaron M llson 03 Rarefacon and erapolaon wh ll numbers: a framewor for samplng and esmaon n speces dversy sudes cology Monographs
More information. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.
Lnear Algebra Lecure # Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons
More informationPendulum Dynamics. = Ft tangential direction (2) radial direction (1)
Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law
More informationLet s treat the problem of the response of a system to an applied external force. Again,
Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem
More informationDepartment of Economics University of Toronto
Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of
More informationTight results for Next Fit and Worst Fit with resource augmentation
Tgh resuls for Nex F and Wors F wh resource augmenaon Joan Boyar Leah Epsen Asaf Levn Asrac I s well known ha he wo smple algorhms for he classc n packng prolem, NF and WF oh have an approxmaon rao of
More informationOnline Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading
Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng
More informationPart II CONTINUOUS TIME STOCHASTIC PROCESSES
Par II CONTINUOUS TIME STOCHASTIC PROCESSES 4 Chaper 4 For an advanced analyss of he properes of he Wener process, see: Revus D and Yor M: Connuous marngales and Brownan Moon Karazas I and Shreve S E:
More informationF-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction
ECOOMICS 35* -- OTE 9 ECO 35* -- OTE 9 F-Tess and Analyss of Varance (AOVA n he Smple Lnear Regresson Model Inroducon The smple lnear regresson model s gven by he followng populaon regresson equaon, or
More informationMotion in Two Dimensions
Phys 1 Chaper 4 Moon n Two Dmensons adzyubenko@csub.edu hp://www.csub.edu/~adzyubenko 005, 014 A. Dzyubenko 004 Brooks/Cole 1 Dsplacemen as a Vecor The poson of an objec s descrbed by s poson ecor, r The
More informationThis document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.
Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,
More informationA Simulation Based Optimal Control System For Water Resources
Cy Unversy of New York (CUNY) CUNY Academc Works Inernaonal Conference on Hydronformacs 8--4 A Smulaon Based Opmal Conrol Sysem For Waer Resources Aser acasa Maro Morales-Hernández Plar Brufau Plar García-Navarro
More informationDEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL
DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA
More informationLi An-Ping. Beijing , P.R.China
A New Type of Cpher: DICING_csb L An-Png Bejng 100085, P.R.Chna apl0001@sna.com Absrac: In hs paper, we wll propose a new ype of cpher named DICING_csb, whch s derved from our prevous sream cpher DICING.
More informationNumerical Simulation on Supersonic Turbulent Flow past Backward Facing Rounded Step Utilizing Hybrid RANS-LES
Numercal Smulaon on Supersonc Turbulen Flow pas Backward Facng Rounded Sep Ulzng Hybrd RANS-LES Absrac Dr. Nrmal Kumar Kund Assocae Professor, Deparmen of Producon Engneerng Veer Surendra Sa Unversy of
More informationM. 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 informationEFFECT OF HEAT FLUX RATIO FROM BOTH SIDE-WALLS ON THERMAL- FLUID FLOW IN CHANNEL
8h AIAA/ASME Jon Thermophyscs and Hea Transfer Conference 4-6 June 00, S. Lous, Mssour AIAA-00-873 00-873 EFFECT OF HEAT FLUX RATIO FROM BOTH SIDE-WALLS ON THERMAL- FLUID FLOW IN CHANNEL SHUICHI TORII
More informationMANY real-world applications (e.g. production
Barebones Parcle Swarm for Ineger Programmng Problems Mahamed G. H. Omran, Andres Engelbrech and Ayed Salman Absrac The performance of wo recen varans of Parcle Swarm Opmzaon (PSO) when appled o Ineger
More informationCONSISTENT EARTHQUAKE ACCELERATION AND DISPLACEMENT RECORDS
APPENDX J CONSSTENT EARTHQUAKE ACCEERATON AND DSPACEMENT RECORDS Earhqake Acceleraons can be Measred. However, Srcres are Sbjeced o Earhqake Dsplacemens J. NTRODUCTON { XE "Acceleraon Records" }A he presen
More informationBernoulli process with 282 ky periodicity is detected in the R-N reversals of the earth s magnetic field
Submed o: Suden Essay Awards n Magnecs Bernoull process wh 8 ky perodcy s deeced n he R-N reversals of he earh s magnec feld Jozsef Gara Deparmen of Earh Scences Florda Inernaonal Unversy Unversy Park,
More informationChapters 2 Kinematics. Position, Distance, Displacement
Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen
More informationEffect of a Vector Wall on the Thermal Field in a SRU Thermal Reactor
Effec of a Vecor Wall on he Thermal Feld n a SRU Thermal Reacor Chun-Lang Yeh and Tzu-Ch Chen Absrac The effecs of a vecor wall on he hermal feld n a SRU hermal reacor are nvesgaed numercally. The FLUENT
More informationPolymerization Technology Laboratory Course
Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen
More informationNew M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)
Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor
More information( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model
BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng
More informationON THE WEAK LIMITS OF SMOOTH MAPS FOR THE DIRICHLET ENERGY BETWEEN MANIFOLDS
ON THE WEA LIMITS OF SMOOTH MAPS FOR THE DIRICHLET ENERGY BETWEEN MANIFOLDS FENGBO HANG Absrac. We denfy all he weak sequenal lms of smooh maps n W (M N). In parcular, hs mples a necessary su cen opologcal
More informationCHAPTER 5: MULTIVARIATE METHODS
CHAPER 5: MULIVARIAE MEHODS Mulvarae Daa 3 Mulple measuremens (sensors) npus/feaures/arbues: -varae N nsances/observaons/eamples Each row s an eample Each column represens a feaure X a b correspons o he
More informationPanel Data Regression Models
Panel Daa Regresson Models Wha s Panel Daa? () Mulple dmensoned Dmensons, e.g., cross-secon and me node-o-node (c) Pongsa Pornchawseskul, Faculy of Economcs, Chulalongkorn Unversy (c) Pongsa Pornchawseskul,
More informationEVALUATION OF FORCE COEFFICIENTS FOR A 2-D ANGLE SECTION USING REALIZABLE k-ε TURBULENCE MODEL
The Sevenh Asa-Pacfc Conference on Wnd Engneerng, November 8-, 009, Tape, Tawan EVALUATION OF FORCE COEFFICIENTS FOR A -D ANGLE SECTION USING REALIZABLE k-ε TURBULENCE MODEL S. Chra Ganapah, P. Harkrshna,
More informationChapter Lagrangian Interpolation
Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and
More informationT q (heat generation) Figure 0-1: Slab heated with constant source 2 = q k
IFFERETIL EQUTIOS, PROBLE BOURY VLUE 5. ITROUCTIO s as been noed n e prevous caper, boundary value problems BVP for ordnary dfferenal equaons ave boundary condons specfed a more an one pon of e ndependen
More informationPolitical Economy of Institutions and Development: Problem Set 2 Due Date: Thursday, March 15, 2019.
Polcal Economy of Insuons and Developmen: 14.773 Problem Se 2 Due Dae: Thursday, March 15, 2019. Please answer Quesons 1, 2 and 3. Queson 1 Consder an nfne-horzon dynamc game beween wo groups, an ele and
More informationEEL 6266 Power System Operation and Control. Chapter 5 Unit Commitment
EEL 6266 Power Sysem Operaon and Conrol Chaper 5 Un Commmen Dynamc programmng chef advanage over enumeraon schemes s he reducon n he dmensonaly of he problem n a src prory order scheme, here are only N
More informationChapter 2 Linear dynamic analysis of a structural system
Chaper Lnear dynamc analyss of a srucural sysem. Dynamc equlbrum he dynamc equlbrum analyss of a srucure s he mos general case ha can be suded as akes no accoun all he forces acng on. When he exernal loads
More informationLecture VI Regression
Lecure VI Regresson (Lnear Mehods for Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure VI: MLSC - Dr. Sehu Vjayakumar Lnear Regresson Model M
More informationRobust and Accurate Cancer Classification with Gene Expression Profiling
Robus and Accurae Cancer Classfcaon wh Gene Expresson Proflng (Compuaonal ysems Bology, 2005) Auhor: Hafeng L, Keshu Zhang, ao Jang Oulne Background LDA (lnear dscrmnan analyss) and small sample sze problem
More informationSampling Coordination of Business Surveys Conducted by Insee
Samplng Coordnaon of Busness Surveys Conduced by Insee Faben Guggemos 1, Olver Sauory 1 1 Insee, Busness Sascs Drecorae 18 boulevard Adolphe Pnard, 75675 Pars cedex 14, France Absrac The mehod presenly
More informationThe Finite Element Method for the Analysis of Non-Linear and Dynamic Systems
Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne
More informationJohn 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 informationCHAPTER 10: LINEAR DISCRIMINATION
CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g
More informationIntroduction to. Computer Animation
Inroducon o 1 Movaon Anmaon from anma (la.) = soul, spr, breah of lfe Brng mages o lfe! Examples Characer anmaon (humans, anmals) Secondary moon (har, cloh) Physcal world (rgd bodes, waer, fre) 2 2 Anmaon
More information2 Aggregate demand in partial equilibrium static framework
Unversy of Mnnesoa 8107 Macroeconomc Theory, Sprng 2012, Mn 1 Fabrzo Perr Lecure 1. Aggregaon 1 Inroducon Probably so far n he macro sequence you have deal drecly wh represenave consumers and represenave
More informationResponse of MDOF systems
Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss
More informationNormal Random Variable and its discriminant functions
Noral Rando Varable and s dscrnan funcons Oulne Noral Rando Varable Properes Dscrnan funcons Why Noral Rando Varables? Analycally racable Works well when observaon coes for a corruped snle prooype 3 The
More information