Numerical analysis on the distribution features of velocity circulation of axial-flow pump

Size: px
Start display at page:

Download "Numerical analysis on the distribution features of velocity circulation of axial-flow pump"

Transcription

1 Numercal analss on he dsrbuon feaures of veloc crculaon of aal-flow pump ZHU Honggeng a and ZHANG Renan a, b a School of Hdraulc, Energ and Power Engneerng, Yanghou Unvers, Yanghou, Jangsu 4009, P. R. Chna; b Jangsu Surveng & Desgn Insue of Waer Resources Co. Ld., Yanghou, Jangsu 517, P. R. Chna Absrac: Aal-flow pumps are wdel used n man secors of naonal econom, and he mprovemen of her pumpng cenc means he savng of remendous energ and grea conrbuon o envronmen proecon. The veloc crculaon s an mporan parameer n he desgn of aal-flow pumps and s dsrbuon feaures wll drecl affec he shape of blades and performances. The urbulence modelκ-εs seleced o close he me-averaged ncompressble hree dmensonal Naver-Sorks equaons, and numercal smulaon s conduced o anale he nernal flow felds and dsrbuon feaures of veloc crculaon of aal-flow pumps. The smulaed resuls ndcae ha here ess crculaon n enrance secon of mpeller and a desgned flow rae he value of crculaon reaches mnmum. The crculaon n he dscharge secon of aal-flow mpeller vares wh he flow rae and radus. The smaller he flow rae and he larger he radus s, he greaer he value of veloc crculaon. There s resdual crculaon n he e secon of dffuser, and negave angenal veloc and crculaon are found near he hub of dffuser, leavng a bg space of opmaon desgn of mpeller and gude vanes. Ke words: veloc crculaon; dsrbuon feaures; aal-flow pump; numercal analss 1. INTRODUCTION Aal-flow pumps are characersc of large dscharge, low head and hgh cenc, whch are wdel used n feld rrgaon, muncpal dranage, flood conrol, ner-basn waer dverson, waer-e propulson, and waer crculaon n elecrc power plan. Takng he frs sage Easern Roue Proec of Souh-o-Norh Waer Dverson as an eample, here are more han 40 large pumpng saons n 13 cascades, of whch abou nne percen adop aal-flow pumps and he power of machng moors reaches kw. The annual operaon me s around 5000h, and s esmaed ha up o kwh of elecrc energ can be saved f he average pumpng ssem cenc s rased b 1%. Generall speakng, he operaon cenc of a pumpng saon depends on he desgn of pumps and scenfc managemen of pumpng ssems. The mpeller and gude vanes are ke pars of an aal-flow pump, of whch he mpeller are val n converng mechancal energ from he drvng machne o pressure energ and knec energ of flowng waer, and he gude vanes pla he role of reganng angenal veloc energ and dffusng waer. The bgges problem encounered n desgnng an aal-flow pump s he mahemacs model of crculaon dsrbuon n he oule of mpeller blades. A presen, here are wo heores. One s free vore mode, and he oher s forced vore model (Guan Xngfan,009). Each of hem has s dsncve desgn mehod, bu also reveals some shorcomngs a he same me. Beng lack of perfec heorec desgn mehod and check he ecs of dfferen dsrbuon of crculaon, phscal model ess are becomng necesses, and onl a few researchers and manufacurers can have successfull developed hgh performance aal-flow pump models (Lu Nng e al., 006). In hs paper, numercal smulaon of an aal-flow pump s carred ou o sud he dsrbuon model of crculaon and predc he pump performances. Based on he smulaon and b revsng he mahemacs model of crculaon dsrbuon, hdraulc opmaon desgns of aal-flow pump can be proceeded o acheve beer performances and cu down developmen coss. 14

2 NUMERICAL SIMULATION OBJECT AND METHOD.1 Numercal smulaon obec The numercal smulaon obec s an aal-flow pump as shown n Fgure 1(a) wh 3 blades and 6 fed gude vanes, conssng of an enrance sragh ppe, a conracng reach, an mpeller, a dffuser, a shaf, a 60 ben and a dscharge sragh ppe. The dameer of he mpeller s 300mm and he oule dameer of he dffuser s 350mm. The specfc speed of he pump a he bes cen cenc pon s abou 1000, and he raed roaonal speed s 1450 r/mn. The compued doman s he same as arranged n a es-bed, so ha he compued resuls can be compared wh each oher o verf he vald of he smulaon. (a) Compued doman (b) 3D modelng of mpeller and gude vanes (c) Meshng of compued doman Fg. 1 Compued doman, modelng and meshng of an aal-flow pump. Modelng and meshng of compued doman The commercal code Gamb and Pro/E are seleced o reale he hree dmensonal modelng of mpeller and gude vanes (Fgure 1(b)), and he p clearance beween he pump casng and mpeller s no consdered. In order o mprove mesh qual and compuaon precson, unsrucured four-face and srucured s-face bod meshes are generaed wh he help of se funcon o accommodae comple srucure of he compued doman (Fgure 1(c)), and he checkng of ndependence of mesh se s done before he formal compuaon commenced. Famous compuaonal flud dnamcs code FLUENT s appled o smulae he nernal flow of he aal-flow pump. The mul-reference frame s used o rea he nerference beween he roaonal mpeller and he sac dffuser. The algorhm SIMPLEC s adoped o couple he calculaon of veloc and pressure o mprove compuaon cenc and accelerae convergence..3 Mahemacs model for numercal smulaon.3.1 Governng equaons Durng normal operaons of an aal-flow pump, he nernal flow veloc s relavel low and he change of waer dens can be negleced. The 3D me-averaged N-S equaons can be adoped o descrbe he nernal sead and ncompressble flow felds of aal-flow pump. The mass conservaon equaon and momenum equaon can be wren as Equaons (1) and () (Tao Wenquan, 001., Yan Chao, e al, 011., Verseeg e al.,1995). E F G S (1) u u 1 p f u [( )( u )] () where,, are relave Caresan coordnaes fed on he mpeller whch roaes around he as a angular speed ; E, F, G and S are column vecors, epressed as followngs. 15

3 E u uu u uv v uw w F v vu u vv v vw w G w wu u wv v ww w S 0 ( u ( u ) ) ( u ) ( v ) ( v ) ( v ) ( w ) ( w ) ( w ) P wv * P wu P * * n whch P * denoes oal pressure equalng o sac pressure plus cenrfugal force; s ecve vscos equalng o molecule vscos plus urbulen vscos..3. Turbulence model sandard Equaons (1) and () canno be solved because he varables are more han he number of equaons, and he urbulence model s seleced o close he me-averaged N-S equaons (Launder e al.,197., Chen e al.,1987), so ha he urbulence vscous cocen urbulence dsspaon rae. uk s conneced wh he urbulen knec energ and k [( )( )] pr (3) k u c1 pr c [( )( )] k where p s urbulen energ producv; r consans. p r u u u ) s funcons of and ; c, c 1, c, k (4) and are defned as ( (5) c k 3 INTERNAL FLOW AND VELOCITY CIRCULATIONS OF AXIAL-FLOW PUMPS 3.1 Inernal flow of aal-flow pump The nernal flow of an aal-flow pump s a resulan one of relave moon w from he nle o he oule of blades and crcular moon u along wh he mpeller. The veloc rangles of aal-flow pump n he nle and oule of blade can be drawn ou as shown n Fgure, where subscrp 1 refers o he nle, subscrp o he oule. Tangenal componens of absolue veloces v proeced on he drecon of u are gven anoher subscrp, u. Componens of he absolue veloc normal o he perpheral veloc are desgnaed as v m1 and v m, respecvel. (6) 16

4 Fg. Veloc rangles of aal-flow pump Fg. 3 Crculaons acng on a blade Accordng o he energ conservaon law and whou consderng he frcon loss beween blades, he dfferenal equaon for he oule veloces of mpeller can be derved (Guan Xngfan, 1995). v dv dvu vu ( )( r v ) (7) dr r m m u dr Based on Equaon (7) as long as he relaonshp beween vm and u solved and he profle of blades can be desgned. 3. Veloc crculaons of aal-flow pumps In mahemacs, veloc crculaon s lnear negraon of veloc smbolcall epressed b Γ. Γ V d s L L V cos( V ds) ds v s deermned, hen Equaon (7) can be V along a closed curve L of flow felds, For he compued doman as shown n Fgure 1(a) he crculaons along he enrance or dscharge crcumferences of he aal-flow mpeller can be calculaed b Equaon (9), n whch L πr. ud vd L 3.3 Epresson of head n erms of veloc crculaons As shown n fgure 3, veloc crculaons n he nle and oule crcumfluence of a sngle aal-flow blade s Γ 1 and Γ, respecvel. Accordng o he veloc rangles n Fgure and based on such assumpons as sead, aal-smmercal and unform nernal flow, nfne number of blades and deal flud, he heorecal head H T of an aal-flow pump can be epressed n erms of veloc crculaons as gven n Equaon (10) (Lu Chao,009). I saes ha he heorecal head H T of an aal-flow pump s deermned b he angular speed ω of he mpeller, he number of blades, he veloc crculaon dfference of Γ and he gravaon acceleraon g. H u vu u1v u1 u 1 ( vu vu 1 g g ) g g T (10) The phscal meanng of head s he energ ncremen of per un wegh of flud flowng hrough he pump. From Equaon (7) o Equaon (10) can be seen ha he dsrbuon of v u wll affec he shape of blades and he value of crculaon Γ and fnall affec he head H as well as he performances of he pump. (8) (9) 4 NUMERICAL SIMULATION RESULTS AND DISCUSSIONS 4.1 Flow paerns n he enrance and dscharge secon of aal-flow mpeller Flow paerns n he enrance secon of aal-flow mpeller 17

5 The flow enerng no he enrance secon (A-A secon n Fgure 1(a)) of aal-flow mpeller s desgned o be n aal drecon hrough a long sragh ppe. Due o he roaon of mpeller and he vscos of waer, he flow s wsed no he enrance secon of pump casng and he angenal componen v u1 ess obvousl, and does no equal o ero even a he desgned flow rae (Q=0.40m 3 /s) hough he value of v u1 s comparavel small (Fgure 4). (a) Q=0.3m 3 /s (b) Q=0.40m 3 /s (c) Q=0.48m 3 /s Fg. 4 Flow paerns n he enrance secon of aal-flow mpeller 4.1. Flow paerns n he dscharge secon of aal-flow mpeller When waer s sucked no he mpeller energ ransmed from he drvng machne wll be convered from mechancal energ o knec energ and poenal energ. Flow paerns n he dscharge secon of aal-flow mpeller (B-B secon n Fgure 1(a)) a dfferen flow raes are shown n Fgure 5, from whch can be clearl seen ha he waer flowng ou of he mpeller possesses srong crculaon and roaes around he as whle dscharged from he pump casng no he dffuser. (a) Q=0.3m 3 /s (b) Q=0.40m 3 /s (c) Q=0.48m 3 /s Fg. 5 Flow paerns n he dscharge secon of aal-flow mpeller 4. Tangenal veloc crculaon n he enrance and dscharge secon of aal-flow mpeller 4..1 Tangenal veloc and crculaon n he enrance secon of aal-flow mpeller The dsrbuon of angenal veloc v u1 along he radus n he enrance secon of aal-flow mpeller s shown n Fgure 6(a), from whch can be seen ha v u1 vares wh flow raes and he rad. A he desgned flow rae (Q=0.40m 3 /s) he magnude of v u1 s no larger han 0.01m/s n he whole enrance secon no maer he radus s smaller or larger. When he aal-flow pump operaes a off-desgn flow raes, v u1 s obvousl larger han ha a desgned flow rae, and ends o become larger wh he ncrease of radus. And also correspondng o smaller and larger flow raes here are larger angenal veloces, whch are parl caused b so called second flow nsde he mpeller. Fgure 6(b) gves he dsrbuon of veloc crculaon n he enrance secon of aal-flow mpeller. I ndcaes ha he crculaon vares wh he radus. The larger he radus s he sronger he crculaon. A he desgned flow rae (Q=0.40m 3 /s) he pre-swrl n he enrance secon of aal-flow mpeller s weak and whle operang a off-desgn flow raes he crculaon becomes sronger, whch wll reduce he nle aack angle of blades and change he flow condons of he pump and affec s energ and cavaon performances. 18

6 (a) Tangenal veloc (b) Veloc crculaon Fg. 6 Tangenal veloc and crculaon n he enrance secon of aal-flow mpeller 4.. Tangenal veloc and crculaon n he dscharge secon of aal-flow mpeller The dsrbuon of angenal veloc v u n he dscharge secon of aal-flow mpeller s shown n Fgure 7(a), from whch can be seen ha v u vares wh flow raes. The smaller he flow rae s he larger he angenal veloc. The dsrbuon of v u along he radus akes he form of a concave curve when he flow rae s consan. The waer bod near he hub obans larger angenal veloc v u and smaller crcumference veloc u. If he produc of u and v u can be kep unchanged, hen he heads a dfferen rad wll be a consan and no second flow should appear nsde he mpeller. Acuall, hs deal condon can rarel be acheved even under desgned condons. (a) Tangenal veloc (b) Veloc crculaon Fg. 7 Tangenal veloc and crculaon n he dscharge secon of aal-flow mpeller Fgure 7(b) shows he dsrbuon of veloc crculaon a he dscharge secon of aal-flow mpeller, whch s smlar wh he dsrbuon of angenal veloc. The smaller he flow rae s he hgher he crculaon and he head, whch s n accordance wh he characerscs of aal-flow pump. When he pump runs a he desgned flow rae he veloc crculaon s bascall a lnear dsrbuon, ncreasng wh he radus. The flow feld near he pump casng obans larger crculaon, whch s good for enhancng he mpeller s abl o do work, and n oher hand o offse he nfluence of leakage of p clearance. 4.3 Resdual crculaon n he e secon of dffuser Flowng waer from he dscharge secon of an aal-flow mpeller possesses srong crculaon and hgh veloc. Dffusers conss of fed gude vanes, whch are desgned o elmnae veloc crculaons from he dscharge secon of mpeller and conver he knec energ of waer o pressure energ hrough dffusng waer. Theorecall, he nflow angle of gude vanes s se o be equal o he ouflow angle of roang blades, and hrough he acon of gude vanes he flow ou of he dffuser s epeced o be free of veloc crculaon. However, due o he complcac of flowng waer and oher nfluencng facors veloc n he e secon of dffuser (C-C secon n Fgure 1(a)) canno compleel elmnaed, here remans resdual crculaons. 19

7 (a) Tangenal veloc (b) Veloc crculaon Fg. 8 Tangenal veloc and resdual crculaon n he e secon of dffuser Comparng Fgure 7 wh Fgure 8 s found ha afer flowng round he gude vanes he angenal veloc of waer n he e secon of dffuser has been reduced b 70% o 90%, wh respec o dfferen flow raes. The smaller he flow rae s he larger angenal veloc and resdual crculaon. Affeced b he conracon of gude hub cap and gude vanes he flow felds s ver urbulen. The appearng of negave angenal veloc and crculaon near he hub of dffuser ndcae ha he desgn of gude vanes does no oall mach he ouflow from he mpeller and here s bg space of opmaon desgn of mpellers and gude vanes (Tang Fang-png e al.,006., Sun e al.,001., Durmus Kaa,003). 5 CONCLUSIONS Veloc crculaon, negraon of veloc along a closed curve, s a ver mporan parameer n desgn of aal-flow pumps. The shape of blades and performance of pump s closel relaed wh he dsrbuon feaures of veloc crculaon. Wh he help of numercal smulaon and nernal flow analses he followng conclusons can be reached. (a) Numercal smulaon resuls ndcae ha here ess veloc crculaon n he enrance secon of aal-flow mpeller, resuled from he roaon of blades and waer vscos. The veloc crculaon vares wh he flow raes, and ges larger values when he pump runs a off-desgn flow rae. (b) There s srong crculaon n he dscharge secon of aal-flow pump, whch s nversel proporonal o he flow rae. When he pump operaes a he desgned flow rae he veloc crculaon bascall ncreases lnearl wh he ncrease of radus. (c) Resdual crculaon ess n he e secon of aal-flow pump, and leaves a bg space n opmaon desgn of mpellers and gude vanes. (d) The nfluence of p clearance on he dsrbuon feaure of veloc crculaon of aal-flow pumps needs o be nvesgaed and compared n he fuure. 0

8 ACKNOWLEDGEMENT Ths paper s fnancall suppored b he 11h Fve Year Ke Proec of Chna s Naonal Scenfc Suppor Scheme (Gran No.006BAB04A03); and he open proec from Jangsu Provnce Ke Lab of Hdraulc & Power Engneerng (Gran No.K100016). References Chen Y. S., Km S. W Compuaon of urbulen flows usng an eended k-e urbulence closure model, NASA CR Durmus Kaa Epermenal sud on reganng he angenal veloc energ of aal flow pump. Energ Converson and Managemen 44: Guan Xngfan. Handbook of modern pump echnques. Beng: Chna Asronauc Publshng House, Guan Xngfan. Aal-flow pump and dagonal pump. Beng: Chna Asronauc Publshng House, 009. Launder B. E., Spaldng D. B Mahemacal models of urbulence, New York: Academc Press. Lu Chao Pump and pump saons [M]. Beng: Chna WaerPower Press. (n Chnese) Lu Nng, Wang Ysen, Zhang Gang, e al Tes of pump models n he same es sand for Souh-o-Norh Waer dverson Proec. Beng: Chna WaerPower Press. Sun J., Tsukamoo H Off-desgn performance predcon for dffuser pumps. Proceedngs of Insuuon of Mechancal Engneerng, 15: Tang Fang-png, Wang Guo-qang Influence of oule gude vanes upon performances of waere aal- flow pump. Journal of Shp Mechancs, 10(6): Tao Wenquan Numercal hea ransfer ( nd Edon). X an: X an Jaoong Unvers Press. Verseeg H. K., Malasekera W An nroducon o compuaonal flud dnamcs [M]. New York:Longman Group Ld. Yan Chao, Yu Jan Xu Jngle, e al On he achevemens and prospecs for he mehods of compuaonal flud dnamcs advances n mechancs, 41 (5):

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

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE 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 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

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

Motion in Two Dimensions

Motion 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 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

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes 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 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

Variants of Pegasos. December 11, 2009

Variants 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 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

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

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/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 information

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

10. 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 information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 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 information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.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 information

Scattering at an Interface: Oblique Incidence

Scattering 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 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

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

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng

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

Transient Numerical of Piston Wind in Subway Station. Haitao Bao

Transient 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 information

Diffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation

Diffusion 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 information

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)

THERMODYNAMICS 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 information

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours

NATIONAL 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 information

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,

More information

Numerical Simulation of the Dispersion of a Plume of Exhaust Gases from Diesel and Petrol Engine Vehicles

Numerical 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 information

EVALUATION OF FORCE COEFFICIENTS FOR A 2-D ANGLE SECTION USING REALIZABLE k-ε TURBULENCE MODEL

EVALUATION 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 information

by Lauren DeDieu Advisor: George Chen

by 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 information

Robustness Experiments with Two Variance Components

Robustness 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 information

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

Time-interval analysis of β decay. V. Horvat and J. C. Hardy Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae

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

PHYS 1443 Section 001 Lecture #4

PHYS 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 information

[Link to MIT-Lab 6P.1 goes here.] After completing the lab, fill in the following blanks: Numerical. Simulation s Calculations

[Link to MIT-Lab 6P.1 goes here.] After completing the lab, fill in the following blanks: Numerical. Simulation s Calculations Chaper 6: Ordnary Leas Squares Esmaon Procedure he Properes Chaper 6 Oulne Cln s Assgnmen: Assess he Effec of Sudyng on Quz Scores Revew o Regresson Model o Ordnary Leas Squares () Esmaon Procedure o he

More information

Advanced time-series analysis (University of Lund, Economic History Department)

Advanced time-series analysis (University of Lund, Economic History Department) Advanced me-seres analss (Unvers of Lund, Economc Hsor Dearmen) 3 Jan-3 Februar and 6-3 March Lecure 4 Economerc echnues for saonar seres : Unvarae sochasc models wh Box- Jenns mehodolog, smle forecasng

More information

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he

More information

Polymerization Technology Laboratory Course

Polymerization 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 information

2.1 Constitutive Theory

2.1 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 information

Comprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices

Comprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices Comprehense Inegraed Smulaon and Opmaon of LPP for EUV Lhograph Deces A. Hassanen V. Su V. Moroo T. Su B. Rce (Inel) Fourh Inernaonal EUVL Smposum San Dego CA Noember 7-9 2005 Argonne Naonal Laboraor Offce

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

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

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

Robust and Accurate Cancer Classification with Gene Expression Profiling

Robust 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 information

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer d Model Cvl and Surveyng Soware Dranage Analyss Module Deenon/Reenon Basns Owen Thornon BE (Mech), d Model Programmer owen.hornon@d.com 4 January 007 Revsed: 04 Aprl 007 9 February 008 (8Cp) Ths documen

More information

NUMERICAL SIMULATION AND EXPERIMENTAL INVESTIGATION FOR INDOOR AIR ENVIRONMENT IN AN OFFICE ROOM

NUMERICAL SIMULATION AND EXPERIMENTAL INVESTIGATION FOR INDOOR AIR ENVIRONMENT IN AN OFFICE ROOM NUMERICAL SIMULATION AND EXPERIMENTAL INVESTIGATION FOR INDOOR AIR ENVIRONMENT IN AN OFFICE ROOM D. Xe 1, 2, H-Q. Wang 1,3, and J. Xong 2 1 School of Energy Scence and Engneerng, Cenral Souh Unversy, ChangSha,

More information

VEHICLE DYNAMIC MODELING & SIMULATION: COMPARING A FINITE- ELEMENT SOLUTION TO A MULTI-BODY DYNAMIC SOLUTION

VEHICLE DYNAMIC MODELING & SIMULATION: COMPARING A FINITE- ELEMENT SOLUTION TO A MULTI-BODY DYNAMIC SOLUTION 21 NDIA GROUND VEHICLE SYSTEMS ENGINEERING AND TECHNOLOGY SYMPOSIUM MODELING & SIMULATION, TESTING AND VALIDATION (MSTV) MINI-SYMPOSIUM AUGUST 17-19 DEARBORN, MICHIGAN VEHICLE DYNAMIC MODELING & SIMULATION:

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let 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 information

Dynamic Model of the Axially Moving Viscoelastic Belt System with Tensioner Pulley Yanqi Liu1, a, Hongyu Wang2, b, Dongxing Cao3, c, Xiaoling Gai1, d

Dynamic Model of the Axially Moving Viscoelastic Belt System with Tensioner Pulley Yanqi Liu1, a, Hongyu Wang2, b, Dongxing Cao3, c, Xiaoling Gai1, d Inernaonal Indsral Informacs and Comper Engneerng Conference (IIICEC 5) Dynamc Model of he Aally Movng Vscoelasc Bel Sysem wh Tensoner Plley Yanq L, a, Hongy Wang, b, Dongng Cao, c, Xaolng Ga, d Bejng

More information

II. Light is a Ray (Geometrical Optics)

II. 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 information

Observer Design for Nonlinear Systems using Linear Approximations

Observer Design for Nonlinear Systems using Linear Approximations Observer Desgn for Nonlnear Ssems sng Lnear Appromaons C. Navarro Hernandez, S.P. Banks and M. Aldeen Deparmen of Aomac Conrol and Ssems Engneerng, Unvers of Sheffeld, Mappn Sree, Sheffeld S 3JD. e-mal:

More information

The profile-linear average velocity for the transition in pipes based on the method of LES *

The profile-linear average velocity for the transition in pipes based on the method of LES * 9 h Inernaonal Conference on Hydrodynamcs Ocober 11-15, 010 Shangha, Chna 355 010, (5), supplemen :366-370 DOI: 10.1016/S1001-6058(09)600-1 The profle-lnear average velocy for he ranson n ppes based on

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary 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 information

TSS = SST + SSE An orthogonal partition of the total SS

TSS = 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 information

F-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction

F-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 information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In 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 information

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data

Appendix 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

GORDON AND NEWELL QUEUEING NETWORKS AND COPULAS

GORDON AND NEWELL QUEUEING NETWORKS AND COPULAS Yugoslav Journal of Operaons Research Vol 9 (009) Number 0- DOI:0.98/YUJOR0900C GORDON AND NEWELL QUEUEING NETWORKS AND COPULAS Danel CIUIU Facul of Cvl Indusral and Agrculural Buldngs Techncal Unvers

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

Midterm Exam. Thursday, April hour, 15 minutes

Midterm Exam. Thursday, April hour, 15 minutes Economcs of Grow, ECO560 San Francsco Sae Unvers Mcael Bar Sprng 04 Mderm Exam Tursda, prl 0 our, 5 mnues ame: Insrucons. Ts s closed boo, closed noes exam.. o calculaors of an nd are allowed. 3. Sow all

More information

Chapters 2 Kinematics. Position, Distance, Displacement

Chapters 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 information

Structure Analysis and Optimization for Compacting System of Asphalt Paver

Structure Analysis and Optimization for Compacting System of Asphalt Paver Send Orders for Reprns o reprns@benhamscence.ae 86 The Open Mechancal Engneerng Journal, 05, 9, 86-9 Open Access Srucure Analyss and Opmzaon for Compacng Sysem of Asphal Paver Sun Jan * Mechancal and Elecronc

More information

Stochastic Maxwell Equations in Photonic Crystal Modeling and Simulations

Stochastic Maxwell Equations in Photonic Crystal Modeling and Simulations Sochasc Maxwell Equaons n Phoonc Crsal Modelng and Smulaons Hao-Mn Zhou School of Mah Georga Insue of Technolog Jon work wh: Al Adb ECE Majd Bade ECE Shu-Nee Chow Mah IPAM UCLA Aprl 14-18 2008 Parall suppored

More information

Gear System Time-varying Reliability Analysis Based on Elastomer Dynamics

Gear System Time-varying Reliability Analysis Based on Elastomer Dynamics A publcaon of CHEMICAL ENGINEERING TRANSACTIONS VOL. 33, 013 Gues Edors: Enrco Zo, Pero Barald Copyrgh 013, AIDIC Servz S.r.l., ISBN 978-88-95608-4-; ISSN 1974-9791 The Ialan Assocaon of Chemcal Engneerng

More information

Lecture 11 SVM cont

Lecture 11 SVM cont Lecure SVM con. 0 008 Wha we have done so far We have esalshed ha we wan o fnd a lnear decson oundary whose margn s he larges We know how o measure he margn of a lnear decson oundary Tha s: he mnmum geomerc

More information

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach

Multi-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 information

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration Naonal Exams December 205 04-BS-3 Bology 3 hours duraon NOTES: f doub exss as o he nerpreaon of any queson he canddae s urged o subm wh he answer paper a clear saemen of any assumpons made 2 Ths s a CLOSED

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate 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 information

Chapter Lagrangian Interpolation

Chapter 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 information

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

Online 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 information

Department of Economics University of Toronto

Department 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 information

Computing Relevance, Similarity: The Vector Space Model

Computing 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 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

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)

New 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

Attribute Reduction Algorithm Based on Discernibility Matrix with Algebraic Method GAO Jing1,a, Ma Hui1, Han Zhidong2,b

Attribute Reduction Algorithm Based on Discernibility Matrix with Algebraic Method GAO Jing1,a, Ma Hui1, Han Zhidong2,b Inernaonal Indusral Informacs and Compuer Engneerng Conference (IIICEC 05) Arbue educon Algorhm Based on Dscernbly Marx wh Algebrac Mehod GAO Jng,a, Ma Hu, Han Zhdong,b Informaon School, Capal Unversy

More information

Advanced Machine Learning & Perception

Advanced Machine Learning & Perception Advanced Machne Learnng & Percepon Insrucor: Tony Jebara SVM Feaure & Kernel Selecon SVM Eensons Feaure Selecon (Flerng and Wrappng) SVM Feaure Selecon SVM Kernel Selecon SVM Eensons Classfcaon Feaure/Kernel

More information

Bayes rule for a classification problem INF Discriminant functions for the normal density. Euclidean distance. Mahalanobis distance

Bayes rule for a classification problem INF Discriminant functions for the normal density. Euclidean distance. Mahalanobis distance INF 43 3.. Repeon Anne Solberg (anne@f.uo.no Bayes rule for a classfcaon problem Suppose we have J, =,...J classes. s he class label for a pxel, and x s he observed feaure vecor. We can use Bayes rule

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

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

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee A Paper presenaon on EXPERIMENTAL INVESTIGATION OF RAINFALL RUNOFF PROCESS by Ank Cakravar M.K.Jan Kapl Rola Deparmen of Hydrology, Indan Insue of Tecnology, Roorkee-247667 Inroducon Ranfall-runoff processes

More information

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys Dual Approxmae Dynamc Programmng for Large Scale Hydro Valleys Perre Carpener and Jean-Phlppe Chanceler 1 ENSTA ParsTech and ENPC ParsTech CMM Workshop, January 2016 1 Jon work wh J.-C. Alas, suppored

More information

An introduction to Support Vector Machine

An introduction to Support Vector Machine An nroducon o Suppor Vecor Machne 報告者 : 黃立德 References: Smon Haykn, "Neural Neworks: a comprehensve foundaon, second edon, 999, Chaper 2,6 Nello Chrsann, John Shawe-Tayer, An Inroducon o Suppor Vecor Machnes,

More information

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.

Including 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 information

Water Hammer in Pipes

Water Hammer in Pipes Waer Haer Hydraulcs and Hydraulc Machnes Waer Haer n Pes H Pressure wave A B If waer s flowng along a long e and s suddenly brough o res by he closng of a valve, or by any slar cause, here wll be a sudden

More information

CHAPTER 5: MULTIVARIATE METHODS

CHAPTER 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 information

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.

This 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 information

Math 128b Project. Jude Yuen

Math 128b Project. Jude Yuen Mah 8b Proec Jude Yuen . Inroducon Le { Z } be a sequence of observed ndependen vecor varables. If he elemens of Z have a on normal dsrbuon hen { Z } has a mean vecor Z and a varancecovarance marx z. Geomercally

More information

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method 10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho

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

Homework 8: Rigid Body Dynamics Due Friday April 21, 2017

Homework 8: Rigid Body Dynamics Due Friday April 21, 2017 EN40: Dynacs and Vbraons Hoework 8: gd Body Dynacs Due Frday Aprl 1, 017 School of Engneerng Brown Unversy 1. The earh s roaon rae has been esaed o decrease so as o ncrease he lengh of a day a a rae of

More information

EFFECT OF HEAT FLUX RATIO FROM BOTH SIDE-WALLS ON THERMAL- FLUID FLOW IN CHANNEL

EFFECT 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 information

Volatility Interpolation

Volatility 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 information

On the Boyd- Kuramoto Model : Emergence in a Mathematical Model for Adversarial C2 Systems

On the Boyd- Kuramoto Model : Emergence in a Mathematical Model for Adversarial C2 Systems On he oyd- Kuramoo Model : Emergence n a Mahemacal Model for Adversaral C2 Sysems Alexander Kallonas DSTO, Jon Operaons Dvson C2 Processes: many are cycles! oyd s Observe-Oren-Decde-Ac Loop: Snowden s

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

Track Properities of Normal Chain

Track Properities of Normal Chain In. J. Conemp. Mah. Scences, Vol. 8, 213, no. 4, 163-171 HIKARI Ld, www.m-har.com rac Propes of Normal Chan L Chen School of Mahemacs and Sascs, Zhengzhou Normal Unversy Zhengzhou Cy, Hennan Provnce, 4544,

More information

( ) [ ] MAP Decision Rule

( ) [ ] MAP Decision Rule Announcemens Bayes Decson Theory wh Normal Dsrbuons HW0 due oday HW o be assgned soon Proec descrpon posed Bomercs CSE 90 Lecure 4 CSE90, Sprng 04 CSE90, Sprng 04 Key Probables 4 ω class label X feaure

More information

Molecular Dynamics Simulation Study forgtransport Properties of Diatomic Liquids

Molecular Dynamics Simulation Study forgtransport Properties of Diatomic Liquids NpT EMD Smulaons of Daomc Lquds Bull. Korean Chem. Soc. 7, ol. 8, No. 697 Molecular Dynamcs Smulaon Sudy forgtranspor Properes of Daomc Lquds Song H Lee Deparmen of Chemsry, Kyungsung Unversy, Busan 68-736,

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

Nonequilibrium models for a multi component reactive distillation column

Nonequilibrium models for a multi component reactive distillation column onequlbrum models for a mul componen reacve dsllaon column D. ROUZIEAU, M. PREVOST, M. MEYER IP/E..S.I.G.C LGC Equpe Séparaon Gaz Lqude 8 Chemn de la Loge, 3078 Toulouse Cedex 4, France Absrac A nonequlbrum

More information

Structural Optimization Using Metamodels

Structural Optimization Using Metamodels Srucural Opmzaon Usng Meamodels 30 Mar. 007 Dep. o Mechancal Engneerng Dong-A Unvers Korea Kwon-Hee Lee Conens. Numercal Opmzaon. Opmzaon Usng Meamodels Impac beam desgn WB Door desgn 3. Robus Opmzaon

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

Displacement, Velocity, and Acceleration. (WHERE and WHEN?)

Displacement, Velocity, and Acceleration. (WHERE and WHEN?) Dsplacemen, Velocy, and Acceleraon (WHERE and WHEN?) Mah resources Append A n your book! Symbols and meanng Algebra Geomery (olumes, ec.) Trgonomery Append A Logarhms Remnder You wll do well n hs class

More information