A PARTICLE-BASED LAGRANGIAN CFD TOOL FOR FREE-SURFACE SIMULATION

Size: px
Start display at page:

Download "A PARTICLE-BASED LAGRANGIAN CFD TOOL FOR FREE-SURFACE SIMULATION"

Transcription

1 C A N A L D E E X P E R I E N C I A S H I D R O D I N Á M I C A S, E L P A R D O Publcacón núm. 194 A PARTICLE-BASED LAGRANGIAN CFD TOOL FOR FREE-SURFACE SIMULATION POR D. MUÑOZ V. GONZÁLEZ M. BLAIN J. VALLE J. C. DÍAZ-CUADRA Mnsteo de Defensa MADRID MARZO 006

2 A PARTICLE-BASED LAGRANGIAN CFD TOOL FOR FREE-SURFACE SIMULATION POR D. MUÑOZ V. GONZÁLEZ M. BLAIN J. VALLE J. C. DÍAZ-CUADRA Tabao pesentado en la confeenca Wold Matme Technology Confeence, WTMC 006. Londes, Reno Undo, Mazo 006

3 A patcle-based Lagangan CFD tool fo fee-suface smulaton D. Muñoz Next Lmt Technologes V. Gonzalez Next Lmt Technologes M. Blan Next Lmt Technologes J. Valle CEHIPAR J C Díaz-Cuada NAVANTIA SYNOPSIS Computaton of flud moton n the pesence of fee sufaces s essental n many engneeng applcatons. Nowadays, howeve, t s dffcult to fnd technologes capable of obustly handlng ths type of scenao. Tadtonal mesh-based CFD codes often stuggle to povde meanngful solutons to poblems nvolvng lage fee suface defomaton and complex nteacton wth movng boundaes. Ths pape pesents a new tool fo flud dynamcs smulaton that focuses on complex flud moton wth lage fee suface defomaton, sloshng phenomena, beakng waves, floatng bodes and fully coupled flud-stuctue nteacton. INTRODUCTION Fom the pont of vew of ndusty, a tool capable of accuately solvng flud dynamcs poblems whee fee sufaces ae pesent s of geat value. Povdng ths type of tool to the engnee s a must fo detemnng the coect dmensons of engneeng stuctues at the desgn stage. Wth technologes cuently avalable, engnees ae not able to coectly take nto account loads due to fee flud mass moton wthn tanks patally flled and foced by an extenal exctaton. Futhemoe, unde some ccumstances, flud motons wth lage fee-sufaces nsde contanes could lead to mpotant stablty ssues. Wthn the doman of naval achtectue and mane engneeng, the sloshng poblem s of patcula elevance. The sloshng phenomena s a hghly nonlnea esonant effect that ases due to couplng between an extenal exctaton that moves a tank patally flled wth lqud and the ntenal foces geneated by the flud tself. Sloshng ases n all mane stuctues contanng lquds. The effects of sloshng loads ae of geat mpotance when, fo example, desgnng LNG and FPSO tankes. The mpotance of sloshng effects n these knds of shps s elated to the dmensons of the tanks. Ol tankes may have two o thee tanks along the beadth n ode to educe the effects of sloshng loads. Sloshng may also be a poblem encounteed by offshoe cago opeatons. In the case of LNG s the sloshng loads ae an mpotant subect as sloshng effects ntoduce sevee lmtatons on the level to whch tanks can be flled. DISCUSSION Famewok Tadtonal softwae fo flud dynamcs computaton typcally have at the heat the long-establshed fnte element method. Most of these sutes smply cannot smulate cases whee movng boundaes ase. Those who cate fo these knds of poblems, also usually have to make use of ndect appoaches to model the movng boundaes effect (as ntoducng netal foces)

4 The pncpal poblem wth the fnte element appoach s that t s necessay to compute a mesh that pattons the smulaton space. Typcally, fo smple steady cases the mesh geneaton step occupes ove eghty pecent of the tme of a flud dynamcs smulaton un. Moeove, mesh qualty s a ctcal facto detemnng the accuacy of the soluton. In addton, when teatng poblems whee fee sufaces ae pesent, the use of addtonal technques fo nteface tackng s essental. Fnte elements ae defntely not natually suted fo fee suface smulaton. X Thee ae two possble pespectves fo handlng mass tanspot poblems n contnuum mechancs: Eulean s the most common and most ntutve appoach n whch sensos that measue medum popetes ae placed at fxed locatons thoughout the smulaton space. By popely combnng these measues estmatons of seveal mass tanspot elated popetes can be obtaned. On the othe hand n a Lagangan appoach sensos follow the flud mass and consde the vaatons whch happen whle tackng the flow. Mesh-based fomulatons of the ncompessble Nave-Stokes equatons usually need atfcal numecal stablzaton due to the way n whch ncompessblty s enfoced (often a Posson equaton fo the pessue). In addton, fomulatons that take the Eulean appoach also encounte poblems due the pesence of a convectve tem n the equatons that whch descbes the tanspot of mass. Even fo small defomatons the dstoton ntoduced n the mesh leads to naccuaces and nstabltes that ae usually esolved by expensve emeshng pocedues. Futhemoe, attemptng to captue compessblty effects wth mesh-based technques aggavates of these poblems. Recently, geat stdes have been taken n the development of mesh-less technques able to cope wth mass tanspot equatons. Lagangan fomulatons do not eque the dscetzaton of a convectve tem as evoluton laws fo flud magntudes ae expessed n mateal devatves unlke mesh-based methods. The am of mesh-fee methods s to povde accuate and stable numecal solutons fo ntegal and patal dffeental equatons elyng solely upon a set of abtaly dstbuted nodes wthout any knd of mesh famewok. Ths new geneaton of computatonal mesh-fee methods pomses to be supeo to the conventonal gd-based fnte dffeences and fnte elements. In ode to mpove upon conventonal mesh-based methods effots have been pncpally focused on tyng to solve poblems fo whch these methods pefom pooly o ae dffcult to apply such as poblems wth fee sufaces, defomable boundaes, movng ntefaces and lage defomatons that would eque an extemely complex mesh geneaton pocedue. Smoothed Patcle Hydodynamcs (SPH) s one of the ealest mesh-fee methods. It was pesented as an appoxmaton of the Monte Calo method fo the esoluton of gas dynamcs poblems. It was fst appled by Lucy (1977) fo modellng astophyscal phenomena, and late wdely extended fo applcaton to poblems n contnuum sold and flud mechancs. The SPH method and ts vaants have been ncopoated nto many commecal codes. Smoothed Patcle Hydodynamcs uses an ntegal epesentaton fo feld functon appoxmaton and effcently epoduces the behavou of compessble and quas-ncompessble flow. The use of an ntegal epesentaton of feld functons tansfes dffeentaton opeatons on the feld functon to the smoothng (weght) functon. Ths elaxes equements egadng the ode of contnuty of the appoxmated feld functon. As a esult, SPH has been poved to be vey stable fo many poblems wth extemely lage defomatons. In ode to solve flud dynamcs poblems, the SPH fomalsm can easly be appled to the Nave-Stokes equatons. The pue Lagangan natue of SPH method handles flud dynamcs poblems wth extemely lage fee suface defomaton effotlessly snce patcles mplctly delneate the fee suface poston. In contast to fnte element methods thee s no need to explctly captue and tack the fee suface wth SPH. The classc SPH fomulaton povdes vey good consevaton popetes and has been poved vey stable unde hghly demandng ccumstances. On the othe hand a smple analyss of the epoducng condtons of the SPH fomulaton eveals a lack of consstency when the nodes ae not evenly dstbuted. The Nave-Stokes equatons ae second ode patal dffeental equatons and theefoe lnea consstency s a suffcent condton to ensue that n the lmt the numecal model conveges to the tue equatons. Lnea consstency s always a desable condton although t s not stctly necessay. Classc SPH wth andomly dstbuted nodes does not consttute even a patton of unty and thus SPH cannot even guaantee zeo-ode consstency. It s known that the lack of consstency wth SPH s a souce of eo and can lead to apd deteoaton n the soluton accuacy. Recently, movng least squaes coectons (MLS) have been appled to SPH n ode to ensue n-ode consstency. - -

5 Patcle methods usually also encounte dffcultes when handlng bounday condtons. A key aspect n ode to ensue coect teatment of bounday condtons s to be awae of the non delta-konecke popety of SPH and MLS-SPH shape functons. In classc fnte elements, nfomaton s easly ntepolated between nodes, and the value of nodal popetes match the values measued usng the shape functons. Howeve, n SPH o MLS-SPH, nodal popetes do not match the measued feld magntudes appoxmated by the shape functons. Ths pape pesents a new appoach fo soluton of the vscous Nave-stokes equatons that takes nto account ecent advances n mesh-fee patcle methods. Ths new technology explots the poweful capabltes of mesh-less patcle methods by usng a Lagangan fomulaton that handles compessblty effects n lquds, fee and foced floatng bodes, movng boundaes, multphase flow, and complex coupled flud-stuctue nteacton. Ths technology s also hghly applcable to the study of sloshng phenomena. Standad SPH Fomulatons The key dea of SPH s that any feld functon f ( ) can be appoxmated by ( ) f defned as: = ( ) ( ) ( ) f fw d Ω,h (1) whee W, the kenel o smoothng functon, s a scala functon of the dstance between patcles and h s efeed to as the smoothng length. The kenel must satsfy the followng condtons: lm W,h h 0 Ω ( ) = δ( ) ( ) W,hd= 1 () (3) A Gaussan smoothng functon nomalzed fo D computatons would have the followng fom ( ) W,h = The Gaussan s a C functon that fulfls all the kenel equements. Fom a computatonal pont of vew t s moe effcent to defne a kenel wth compact suppot that vanshes fo patcle sepaatons > h 1 h π e h (4) ( ) 4h π( 3 log( 16) ) W,h = + h 0 fo h ( 4) 1 h ( 4) fo 0 h ( ) ( < ) (5) Fg 1: Shape of the kenel fo D smulatons Equaton (1) can be appoxmated by the followng expesson: ( ) ( ) N f m f ( ) = W( -,h) ρ ( ) d f ( ) W( -,h) ρ Ω = 1 ρ (6)

6 Ths can used to measue feld popetes at any locaton wthn the smulaton doman by ust usng the nodal nfomaton stoed wth each patcle. Wtng equaton (1) fo the gadent of a functon f ( ) and ntegatng by pats gves: f = f W -,h d = f W -,h d + f W -,h n ds ( ) ( ) ( ) ( ) ( ) ( ) ( ) Ω Ω Ω (7) Whee Ω s the bounday of the flud doman Ω. The suface ntegal s usually neglected because the functon o the kenel s supposed to vansh at the bounday of the doman. Howeve, cae must be taken n the vcnty of sold boundaes. Standad SPH s geneally used to solve the Eule equaton whch s lmted to nvscd flows snce t s not easy to obtan expessons fo the second devatves n a staghtfowad manne usng SPH fomalsm. Howeve, the SPH fomalsm may be appled to the full Nave-Stokes equatons n ode to smulate geneal-pupose flow smulatons. The contnuty equaton n Lagangan fom s: Smlaly, the momentum equaton s: Dρ = ρ v Dt (8) Dv Dt α αβ 1 σ = + F β ρ x whee the supescpts α, β denote the coodnate dectons, v s the velocty and F s the extenal body foce pe unt mass and σ s the full ntenal stess tenso: σ = pδ + τ αβ αβ αβ Fo Newtonan fluds, the vscous shea stess s popotonal to the shea denoted by the stan tenso ε by a facto known as the dynamc vscosty µ : α (9) (10) whee: ε αβ αβ αβ τ = ε µ β α v v = + α β x x 3 ( v) δ αβ (11) (1) Fnally the mateal devatve fo the ntenal enegy may be expessed as the combnaton of two pats. The fst tem s the sotopc pessue contbuton multpled by the volumetc stan wheeas the second tem epesents the enegy dsspaton due to vscous shea foces. De p µ αβ = v + ε ε Dt ρ ρ αβ (13) Usng the equalty ρ v = ( ρv) + v ρ and applyng SPH fomalsm we can expess the mateal densty devatve fo each patcle as follows: Dρ Dt ( ) ( ) = m v W-,h v (14) Altenatvely, mass consevaton may be exactly enfoced by dectly applyng equaton [3] fo the densty: ρ = m W-,h ( ) (15)

7 Afte some manpulaton the SPH appoxmaton of the momentum equaton fo any gven patcle can be wtten n the followng dscetzed fom αβ αβ p + p W µε + µ ε W α β ρρ ρρ α Dv = m + m + F Dt x x (16) Usng equaton (1) SPH appoxmaton fo ε we fnally obtan: ε m W W = v + v δ v W 3 αβ β α αβ α β ρ x x (17) The enegy equaton can be obtaned by followng a smla pocedue to that of the momentum equaton. The dscetzed enegy equaton has the fnal fom: De Dt p 1 p + µ αβ αβ = m v W + ε ε ρρ ρ (18) Patcle postons ae easly updated by usng followng evoluton law: D Dt = v (19) In standad SPH fo compessble flows, the patcle moton s dven by the pessue gadent, whee the patcle pessue s calculated usng the local patcle densty and ntenal enegy n a state equaton. Fo ncompessble flows, howeve, thee s no equaton of state fo pessue. Moeove, the actual equaton of state fo the flud wll lead to pohbtvely small tmesteps. Although t s possble to nclude a constant densty constant nto the SPH fomulaton the esultant equatons ae too cumbesome to be solved. Usually an atfcal compessblty appoach s used. It s based n the fact that evey ncompessble flud s theoetcally compessble and theefoe t s feasble to use a quasncompessble equaton of state to model the ncompessble flow. The pupose of ntoducng the atfcal compessblty s to poduce a tme devatve of pessue. The followng atfcal equaton of state s wdely used γ ρc s ρ P = 1 γ ρ o (0) whee cs the sentopc speed of sound and ρ o s a nomnal efeence densty. Impovng consstency of SPH Although the tadtonal SPH fomulaton pesents vey good consevaton popetes and has been poved stable s wdely known that ths fomulaton loses ts consstency as soon as the nodes ae not unfomly dstbuted. Ths apdly deteoates the soluton qualty. MLS shape functons can be appled n ode to mpose lnea ode consstency. Ths mpoves stablty and accuacy of standad SPH algothms. Fo evenly dstbuted nodes, classc kenel appoxmatons epoduce constant and lnea scala felds povded a suffcent numbe of neghbous ae pesent. As soon as the nodes ae not placed unfomly wthn the doman we have n 1 = ( ) W x (1)

8 Ths means that SPH appoxmatons ae not able to epoduce even a constant scala feld. Ths poblem s magnfed at the boundaes whee the lack of nfomaton always ntoduces sevee eos n kenel appoxmatons even fo unfomly dstbuted nodes. Recent SPH coectons esolve ths stuaton makng use of movng least squaes (fst successfully appled by Dlts [3]). MLS coectons have made t possble to mpose an abtay ode of consstency n shape functon appoxmaton gven suffcent nfomaton (nodes). MLS exactly epoduces an abtay functonal base p = 1,x,y,z,x,y,... { } () The pocedue conssts of modfyng the kenel weght functon n the followng way Mls ( ) ( )( ( ) ( ) ) N x = N x p x β x,x ρ whee β( x ρ ) s a vecto of coeffcents that depends on the spatal dstbuton of Lagangan nodes. When the coeffcents have been computed, feld functons may be appoxmated by: a% a N x = ( ) MLS (3) (4) Fo example, n ode to mpose lnea consstency the followng base must be adopted p = { 1,x,y,z} (5) Thus, the MLS shape functon takes the followng fom ( ) = ( ( ) + ( )( ) + ( )( ) + ( )( )) N x β x β x x x β x y y β x z z N Mls 0 x y z (6) ρ β ρ The coeffcents vecto ( x) must be computed n the followng manne β0( x ) 1 βx( x) 1 0 β ( x) = = A ( x) β y( x) 0 β z( x) 0 Ax ( ) = AN % x ( ) 1 ( x x) ( y y) ( z z) ( x x) ( x x) ( x x)( y y) ( x x)( z z) A% = ( y y) ( x x)( y y) ( y y) ( y y)( z z) ( z z) ( x x)( z z) ( y y)( z z) ( z z) (7) (8) (9) As soon as n-ode consstency has been mposed va MLS coectons the epoducng condtons of MLS kenels ensue that any functon expessed as a lnea combnaton of the base functons wll be exactly epoduced. The fgue below shows the shape functons of standad SPH (Wo) wth Gaussan kenel functon n a 3 + x undmensonal bounded doman attemptng to epoduce a scala feld of the fom f (x) = (gey 4 lne) wth evenly dstbuted nodes. Followng ths the MLS-0 and MLS-1 esults ae shown

9 Fg : SPH and MLS kenels fo evenly dstbuted nodes The fgue clealy llustates that, fo evenly dstbuted nodes, the classc SPH appoxmaton epoduces the lnea functon eveywhee except at the boundaes due to lack of nfomaton. The fgue also shows that MLS-1 exactly epoduces the lnea scala functon acoss the whole doman. The fgue below shows the shape functons of standad SPH (Wo), MLS-0 and MLS-1 econstuctng the same feld wth nodes at andomly dstbuted postons. Fg 3: SPH and MLS kenels fo andomly dstbuted nodes It s clealy evdent that the classc SPH appoxmaton leads to sevee eos whle the MLS-1 shape functons exactly epoduce the lnea scala feld acoss the ente doman

10 Implementaton The new wok caed out by the authos mpoves the exstng mesh-less methods solvng most of the outstandng ssues elated to the teatment of bounday condtons. Ths technology also explots the mpoved consstency fully Lagangan fomulaton povded by the use of MLS-lke shape functons. New appoach takes specal cae n bounday condtons teatment. Bounday condtons play a decsve ole on the soluton of a flud dynamcs smulaton. In fnte elements, mposng these condtons s not vey dffcult. In most commecal pe-pocesso, uses can easly specfy these condtons ethe to the geometc enttes o dectly to the mesh. Howeve, smulate accuately bounday condtons wth actual engneeng systems eques expeence, knowledge, tme and accuate engneeng decson. Although all the pocedues developed n fnte elements ae applcable wth some modfcatons to mesh-less methods, bounday condtons mplementaton usually eques specal cae. In classc SPH fomulatons, thee s no dect bounday condton. Nodes nea the sold boundaes lack of nfomaton as thee s no patcles outsde the flud doman. Indect appoaches as bounday patcles whch exet cental foces on flud patcles ae the common choce fo modellng the sold bounday. But the defct of nfomaton nea the walls usually leads to ncoect solutons. Fnally, even usng MLS appoxmatons fo constuctng shape functons, specal technques ae equed to mpose essental bounday condtons, because the shape functons ceated do not satsfy the koneke delta condtons. The technology developed makes use of n-house specal technques that physcally mposes bounday condtons takng nto account these subtle ssues. Ths has been mplemented n both and 3 dmensons and solves the full vscous Nave-Stokes equatons wth compessblty effects. It povdes a pomsng soluton to easly cope wth complex poblems whch nclude fee sufaces, multple phases, abtay movng sold boundaes and coupled flud-stuctue nteacton. The authos have decded to call ths method XPH (Extended Patcle Hydodynamcs) due to the smltude wth SPH and elated wok. XPH has been tested n seveal scenaos elated to the sloshng phenomena. In the followng fgue, the smulaton (bght wate) has been supemposed ove the eal vdeo footage of the tank (dak wate). The fgue shows how the smulated esults match almost pefectly the pofle of the eal wate. Fg 4: smulaton wth XPH - 8 -

11 VALIDATION The new method has been extensvely compaed aganst both theoetcal and expemental data n seveal scenaos. Ou fst tests focus on the capabltes of the method to smulate sloshng phenomena. Sloshng tests In ode to test the method s capabltes fo solvng the sloshng poblem we stat wth a smple paallelepped tank. Ths tank s subected to seveal ollng motons of vaous ampltudes and fequences whlst flled to vaous levels. The goal s to captue fo each wate level the magntude and fequency of the esonant sloshng effects. In ths pape the tank dmensons ae (length x wdth x heght) 800mm x 400mm x 50mm. The followng sequence shows some snapshots fom a smulaton wth fllng level of 50mm subected to an exctaton of ampltude 10mm wth fequency 5 ad s -1. The numecal smulaton has been supemposed ove the expemental vdeo data to llustate the emakable coespondence between the numecal and expemental fee-sufaces. Fg 5: The expemental tank vdeo and the ovelad smulaton vsualzaton show emakable coespondence. In ode to poduce the foced moton of the tank a movable platfom has been constucted. Ths platfom estcts all degees of feedom except the angula otaton about an axs nomal to the longest sde of the tank. A compute contolled lnea actuato geneates the foced moton and also measues the angle of oscllaton and the magntude of the oveall ollng momentum on the tank due to the moton of the fee flud mass. Below we pesent the numecal and expemental esults fo a complete ange of fequences fo ampltude 10º and fllng level 100mm. The numecal smulatons ae fully 3 dmensonal. The fgues show the ampltude of the ollng momentum due to wate moton and the phase offset between exctaton and esponse of the ollng momentum. The esults fo ollng momentum confm that the numecal model closely matches the expemental data and that the esonant fequency s captued both qualtatvely and quanttatvely

12 Fg 6: ampltude of wate momentum (expemental vesus numecal) Fg 5: phase offset (expemental vesus numecal) Fg 7: expemental tank vesus smulaton

13 Wave geneaton Lnea wave geneaton has been tested and compaed wth analytcal models. Good ageement wth lnea wave theoy has been obseved. A b-dmensonal numecal wave tank 36 metes long flled wth patcles to a depth of 1.5 metes has been used fo wave geneaton smulatons. The waves ae geneated by usng a movng wall. A numecal beach dsspates the waves as appoach the channel end. Lnea wave theoy states that the elaton between wave numbe, channel depth and wave-make fequency s as follows: ( ) Tanh h k s ω =- kg s (30) Fg 8: wave geneaton test The above mage shows a wave geneated by a pston wth a 0.m stoke and a peod of 1.5 seconds. Equaton (30) pedcts a wavelength of.4 m that closely matches the smulated wavelength of.6m. Fg 9: wave geneaton test In ths case the peod s.13 seconds and the wave-make stoke s 0.4 m. The wavelength pedcted by lnea wave theoy s 6.1 m whle the smulated wave length s 6m

14 Shp sunk The method can easly deal wth the behavou of fee floatng bodes as they nteact wth fee sufaces. Below s a vsualzaton of a b-dmensonal smulaton of a 150 metes long tanke wth a beach ust aft of the bow. The smulaton contans moe that 800,000 patcles and s un at full-scale usng the tue speed of sound fo wate. The mage focuses on a subset of the numecal doman whch s thee tmes longe than the shp. Fg 10: snk smulaton The sequence shows below seveal snapshots fom the smulaton. Pessue waves can be obseved adatng fom the shp. Fg 11: snk smulaton sequence - 1 -

15 Multphase tests Ths sequence shows a coss-secton fom a full 3 dmensonal computaton of the evoluton of a bubble fully mmesed n a dense medum. A hgh densty ato was used wthout suface tenson effects. Fg 1: bubble smulaton Below we show anothe coss-secton, ths tme of a 3D Raylegh-Taylo nstablty smulaton. Once agan the model neglects suface tenson effects. Fg 13: Raylegh-Taylo nstablty

16 ACKNOWLEDGEMENTS The new methodology pesented n ths pape has been developed by the authos as pat of an offcal Spansh eseach and development pogam suppoted by the Mnsty of Industy, the Mnsty of Scence and Technology and the Mnsty of Defence. Next Lmt Technologes has povded the expetse fo the development of the smulaton and vsualzaton tools. Commecal applcatons of ths technology wll be suppoted by Next Lmt Technologes. The expemental valdaton of the sloshng cases has been pefomed n collaboaton wth CEHIPAR (El Pado Model Basn). CEHIPAR s an autonomous oganzaton belongng to the Spansh Mnsty of Defence. Its actvtes nclude shp and popelle desgn and model tests and eseach and development n hydodynamcs and Computatonal Flud Dynamcs (CFD) technologes all focused on obtanng of optmal shp hydodynamc behavou. NAVANTIA s the leadng Spansh company n the mltay shpbuldng secto. Fom the pespectve of sze and technologcal capablty t occupes a leadng poston n Euopean and Woldwde mltay shpbuldng. NAVANTIA s engnees have povded nfomaton esouces to the eseach and development team ncludng specfc techncal dscussons egadng applcatons n the mane ndusty. REFERENCES 1. J.J. Monaghan, Smulatng Fee Suface Flows wth SPH. Annu. Rev. Aston. Astophys., 30, ; 199. P.W. Randles, L.D. Lbesky, SPH: Some ecent mpovements and applcatons. Comput., Methods n Appl. Mech. And Engtg., 139, ; G.A. Dlts, Movng-Least-Squaes-Patcle Hydodynamcs. Int. J. Nume. Meth. Engng. Pat I 44, (1999), Pat II 48, 1503 (000)

Perturbation Theory and Celestial Mechanics

Perturbation Theory and Celestial Mechanics Copyght 004 9 Petubaton Theoy and Celestal Mechancs In ths last chapte we shall sketch some aspects of petubaton theoy and descbe a few of ts applcatons to celestal mechancs. Petubaton theoy s a vey boad

More information

Bending Stresses for Simple Shapes

Bending Stresses for Simple Shapes -6 Bendng Stesses fo Smple Sapes In bendng, te maxmum stess and amount of deflecton can be calculated n eac of te followng stuatons. Addtonal examples ae avalable n an engneeng andbook. Secton Modulus

More information

AREA COVERAGE SIMULATIONS FOR MILLIMETER POINT-TO-MULTIPOINT SYSTEMS USING STATISTICAL MODEL OF BUILDING BLOCKAGE

AREA COVERAGE SIMULATIONS FOR MILLIMETER POINT-TO-MULTIPOINT SYSTEMS USING STATISTICAL MODEL OF BUILDING BLOCKAGE Radoengneeng Aea Coveage Smulatons fo Mllmete Pont-to-Multpont Systems Usng Buldng Blockage 43 Vol. 11, No. 4, Decembe AREA COVERAGE SIMULATIONS FOR MILLIMETER POINT-TO-MULTIPOINT SYSTEMS USING STATISTICAL

More information

Gravitation. Definition of Weight Revisited. Newton s Law of Universal Gravitation. Newton s Law of Universal Gravitation. Gravitational Field

Gravitation. Definition of Weight Revisited. Newton s Law of Universal Gravitation. Newton s Law of Universal Gravitation. Gravitational Field Defnton of Weght evsted Gavtaton The weght of an object on o above the eath s the gavtatonal foce that the eath exets on the object. The weght always ponts towad the cente of mass of the eath. On o above

More information

Additional File 1 - A model-based circular binary segmentation algorithm for the analysis of array CGH data

Additional File 1 - A model-based circular binary segmentation algorithm for the analysis of array CGH data 1 Addtonal Fle 1 - A model-based ccula bnay segmentaton algothm fo the analyss of aay CGH data Fang-Han Hsu 1, Hung-I H Chen, Mong-Hsun Tsa, Lang-Chuan La 5, Ch-Cheng Huang 1,6, Shh-Hsn Tu 6, Ec Y Chuang*

More information

Orbit dynamics and kinematics with full quaternions

Orbit dynamics and kinematics with full quaternions bt dynamcs and knematcs wth full quatenons Davde Andes and Enco S. Canuto, Membe, IEEE Abstact Full quatenons consttute a compact notaton fo descbng the genec moton of a body n the space. ne of the most

More information

Drag force acting on a bubble in a cloud of compressible spherical bubbles at large Reynolds numbers

Drag force acting on a bubble in a cloud of compressible spherical bubbles at large Reynolds numbers Euopean Jounal of Mechancs B/Fluds 24 2005 468 477 Dag foce actng on a bubble n a cloud of compessble sphecal bubbles at lage Reynolds numbes S.L. Gavlyuk a,b,,v.m.teshukov c a Laboatoe de Modélsaton en

More information

Electric Potential. otherwise to move the object from initial point i to final point f

Electric Potential. otherwise to move the object from initial point i to final point f PHY2061 Enched Physcs 2 Lectue Notes Electc Potental Electc Potental Dsclame: These lectue notes ae not meant to eplace the couse textbook. The content may be ncomplete. Some topcs may be unclea. These

More information

Green's function integral equation methods for plasmonic nanostructures

Green's function integral equation methods for plasmonic nanostructures Geens functon ntegal equaton methods fo plasmonc nanostuctues (Ph Couse: Optcal at the Nanoscale) Thomas Søndegaad epatment of Phscs and Nanotechnolog, Aalbog Unvest, Senve 4A, K-9 Aalbog Øst, enma. Intoducton

More information

Molecular Dynamics. r F. r dt. What is molecular dynamics?

Molecular Dynamics. r F. r dt. What is molecular dynamics? What s molecula dynamcs? Molecula Dynamcs Molecula dynamcs (MD) s a compute smulaton technque that allows one to pedct the tme evoluton of a system of nteactng patcles (atoms, molecules, ganules, etc.).

More information

A Novel Lightweight Algorithm for Secure Network Coding

A Novel Lightweight Algorithm for Secure Network Coding A Novel Lghtweght Algothm fo Secue Netwok Codng A Novel Lghtweght Algothm fo Secue Netwok Codng State Key Laboatoy of Integated Sevce Netwoks, Xdan Unvesty, X an, Chna, E-mal: {wangxaoxao,wangmeguo}@mal.xdan.edu.cn

More information

Efficient Evolutionary Data Mining Algorithms Applied to the Insurance Fraud Prediction

Efficient Evolutionary Data Mining Algorithms Applied to the Insurance Fraud Prediction Intenatonal Jounal of Machne Leanng and Computng, Vol. 2, No. 3, June 202 Effcent Evolutonay Data Mnng Algothms Appled to the Insuance Faud Pedcton Jenn-Long Lu, Chen-Lang Chen, and Hsng-Hu Yang Abstact

More information

TRUCK ROUTE PLANNING IN NON- STATIONARY STOCHASTIC NETWORKS WITH TIME-WINDOWS AT CUSTOMER LOCATIONS

TRUCK ROUTE PLANNING IN NON- STATIONARY STOCHASTIC NETWORKS WITH TIME-WINDOWS AT CUSTOMER LOCATIONS TRUCK ROUTE PLANNING IN NON- STATIONARY STOCHASTIC NETWORKS WITH TIME-WINDOWS AT CUSTOMER LOCATIONS Hossen Jula α, Maged Dessouky β, and Petos Ioannou γ α School of Scence, Engneeng and Technology, Pennsylvana

More information

Keywords: Transportation network, Hazardous materials, Risk index, Routing, Network optimization.

Keywords: Transportation network, Hazardous materials, Risk index, Routing, Network optimization. IUST Intenatonal Jounal of Engneeng Scence, Vol. 19, No.3, 2008, Page 57-65 Chemcal & Cvl Engneeng, Specal Issue A ROUTING METHODOLOGY FOR HAARDOUS MATIALS TRANSPORTATION TO REDUCE THE RISK OF ROAD NETWORK

More information

An Algorithm For Factoring Integers

An Algorithm For Factoring Integers An Algothm Fo Factong Integes Yngpu Deng and Yanbn Pan Key Laboatoy of Mathematcs Mechanzaton, Academy of Mathematcs and Systems Scence, Chnese Academy of Scences, Bejng 100190, People s Republc of Chna

More information

PCA vs. Varimax rotation

PCA vs. Varimax rotation PCA vs. Vamax otaton The goal of the otaton/tansfomaton n PCA s to maxmze the vaance of the new SNP (egensnp), whle mnmzng the vaance aound the egensnp. Theefoe the dffeence between the vaances captued

More information

Modeling and computing constrained

Modeling and computing constrained F EAURE A RICLE HE COMPUAION OF CONSRAINED DYNAMICAL SYSEMS: MACHING PHYSICAL MODELING WIH NUMERICAL MEHODS Reseaches have nvestgated modelng and computaton of constaned dynamcal systems, but scentsts

More information

(Semi)Parametric Models vs Nonparametric Models

(Semi)Parametric Models vs Nonparametric Models buay, 2003 Pobablty Models (Sem)Paametc Models vs Nonpaametc Models I defne paametc, sempaametc, and nonpaametc models n the two sample settng My defnton of sempaametc models s a lttle stonge than some

More information

A Mathematical Model for Selecting Third-Party Reverse Logistics Providers

A Mathematical Model for Selecting Third-Party Reverse Logistics Providers A Mathematcal Model fo Selectng Thd-Pat Revese Logstcs Povdes Reza Fazpoo Saen Depatment of Industal Management, Facult of Management and Accountng, Islamc Azad Unvest - Kaaj Banch, Kaaj, Ian, P. O. Box:

More information

Joint Virtual Machine and Bandwidth Allocation in Software Defined Network (SDN) and Cloud Computing Environments

Joint Virtual Machine and Bandwidth Allocation in Software Defined Network (SDN) and Cloud Computing Environments IEEE ICC 2014 - Next-Geneaton Netwokng Symposum 1 Jont Vtual Machne and Bandwdth Allocaton n Softwae Defned Netwok (SDN) and Cloud Computng Envonments Jonathan Chase, Rakpong Kaewpuang, Wen Yonggang, and

More information

REAL TIME MONITORING OF DISTRIBUTION NETWORKS USING INTERNET BASED PMU. Akanksha Eknath Pachpinde

REAL TIME MONITORING OF DISTRIBUTION NETWORKS USING INTERNET BASED PMU. Akanksha Eknath Pachpinde REAL TME MONTORNG OF DSTRBUTON NETWORKS USNG NTERNET BASED PMU by Akanksha Eknath Pachpnde A Thess submtted to the Faculty of the Gaduate School of the Unvesty at Buffalo, State Unvesty of New Yok n patal

More information

A New replenishment Policy in a Two-echelon Inventory System with Stochastic Demand

A New replenishment Policy in a Two-echelon Inventory System with Stochastic Demand A ew eplenshment Polcy n a wo-echelon Inventoy System wth Stochastc Demand Rasoul Haj, Mohammadal Payesh eghab 2, Amand Babol 3,2 Industal Engneeng Dept, Shaf Unvesty of echnology, ehan, Ian (haj@shaf.edu,

More information

Institut für Halle Institute for Economic Research Wirtschaftsforschung Halle

Institut für Halle Institute for Economic Research Wirtschaftsforschung Halle Insttut fü Halle Insttute fo Economc Reseach Wtschaftsfoschung Halle A Smple Repesentaton of the Bea-Jaque-Lee Test fo Pobt Models Joachm Wlde Dezembe 2007 No. 13 IWH-Dskussonspapee IWH-Dscusson Papes

More information

Mixed Task Scheduling and Resource Allocation Problems

Mixed Task Scheduling and Resource Allocation Problems Task schedulng and esouce allocaton 1 Mxed Task Schedulng and Resouce Allocaton Poblems Mae-José Huguet 1,2 and Pee Lopez 1 1 LAAS-CNRS, 7 av. du Colonel Roche F-31077 Toulouse cedex 4, Fance {huguet,lopez}@laas.f

More information

A Coverage Gap Filling Algorithm in Hybrid Sensor Network

A Coverage Gap Filling Algorithm in Hybrid Sensor Network A Coveage Ga Fllng Algothm n Hybd Senso Netwok Tan L, Yang Mnghua, Yu Chongchong, L Xuanya, Cheng Bn A Coveage Ga Fllng Algothm n Hybd Senso Netwok 1 Tan L, 2 Yang Mnghua, 3 Yu Chongchong, 4 L Xuanya,

More information

A Resource Scheduling Algorithms Based on the Minimum Relative Degree of Load Imbalance

A Resource Scheduling Algorithms Based on the Minimum Relative Degree of Load Imbalance Jounal of Communcatons Vol. 10, No. 10, Octobe 2015 A Resouce Schedulng Algothms Based on the Mnmum Relatve Degee of Load Imbalance Tao Xue and Zhe Fan Depatment of Compute Scence, X an Polytechnc Unvesty,

More information

On the Efficiency of Equilibria in Generalized Second Price Auctions

On the Efficiency of Equilibria in Generalized Second Price Auctions On the Effcency of Equlba n Genealzed Second Pce Auctons Ioanns Caaganns Panagots Kanellopoulos Chstos Kaklamans Maa Kyopoulou Depatment of Compute Engneeng and Infomatcs Unvesty of Patas and RACTI, Geece

More information

CONSTRUCTION PROJECT SCHEDULING WITH IMPRECISELY DEFINED CONSTRAINTS

CONSTRUCTION PROJECT SCHEDULING WITH IMPRECISELY DEFINED CONSTRAINTS Management an Innovaton fo a Sustanable Bult Envonment ISBN: 9789052693958 20 23 June 2011, Amsteam, The Nethelans CONSTRUCTION PROJECT SCHEDULING WITH IMPRECISELY DEFINED CONSTRAINTS JANUSZ KULEJEWSKI

More information

Strength Analysis and Optimization Design about the key parts of the Robot

Strength Analysis and Optimization Design about the key parts of the Robot Intenational Jounal of Reseach in Engineeing and Science (IJRES) ISSN (Online): 2320-9364, ISSN (Pint): 2320-9356 www.ijes.og Volume 3 Issue 3 ǁ Mach 2015 ǁ PP.25-29 Stength Analysis and Optimization Design

More information

Simultaneous Detection and Estimation, False Alarm Prediction for a Continuous Family of Signals in Gaussian Noise

Simultaneous Detection and Estimation, False Alarm Prediction for a Continuous Family of Signals in Gaussian Noise Sultaneous Detecton and Estaton, False Ala Pedcton fo a Contnuous Faly of Sgnals n Gaussan Nose D Mchael Mlde, Robet G Lndgen, and Mos M Bean Abstact New pobles ase when the standad theoy of jont detecton

More information

AN EQUILIBRIUM ANALYSIS OF THE INSURANCE MARKET WITH VERTICAL DIFFERENTIATION

AN EQUILIBRIUM ANALYSIS OF THE INSURANCE MARKET WITH VERTICAL DIFFERENTIATION QUIIRIUM YI OF T IUR MRKT WIT VRTI IFFRTITIO Mahto Okua Faculty of conomcs, agasak Unvesty, 4-- Katafuch, agasak, 8508506, Japan okua@net.nagasak-u.ac.p TRT ach nsuance poduct pe se s dentcal but the nsuance

More information

econstor zbw www.econstor.eu

econstor zbw www.econstor.eu econsto www.econsto.eu De Open-Access-Publkatonsseve de ZBW Lebnz-Infomatonszentum Wtschaft The Open Access Publcaton Seve of the ZBW Lebnz Infomaton Cente fo Economcs Babazadeh, Reza; Razm, Jafa; Ghods,

More information

4. SHAFT SENSORLESS FORCED DYNAMICS CONTROL OF RELUCTANCE SYNCHRONOUS MOTOR DRIVES

4. SHAFT SENSORLESS FORCED DYNAMICS CONTROL OF RELUCTANCE SYNCHRONOUS MOTOR DRIVES 4. SHAFT SENSORLESS FORCED DYNAMICS CONTROL OF RELUCTANCE SYNCHRONOUS MOTOR DRIVES 4.. VECTOR CONTROLLED RELUCTANCE SYNCHRONOUS MOTOR DRIVES WITH PRESCRIBED CLOSED-LOOP SPEED DYNAMICS Abstact: A new spee

More information

The transport performance evaluation system building of logistics enterprises

The transport performance evaluation system building of logistics enterprises Jounal of Industial Engineeing and Management JIEM, 213 6(4): 194-114 Online ISSN: 213-953 Pint ISSN: 213-8423 http://dx.doi.og/1.3926/jiem.784 The tanspot pefomance evaluation system building of logistics

More information

A New Estimation Model for Small Organic Software Project

A New Estimation Model for Small Organic Software Project 8 03 ACADEMY PUBLISHER A New Estmaton Model o Small Oganc Sotwae Poject Wan-Jang Han, Tan-Bo Lu, and Xao-Yan Zhang School O Sotwae Engneeng, Bejng Unvesty o Posts and Telecommuncaton, Bejng, Chna Emal:

More information

Security of Full-State Keyed Sponge and Duplex: Applications to Authenticated Encryption

Security of Full-State Keyed Sponge and Duplex: Applications to Authenticated Encryption Secuty of Full-State Keyed Sponge and uplex: Applcatons to Authentcated Encypton Bat Mennnk 1 Reza Reyhantaba 2 aman Vzá 2 1 ept. Electcal Engneeng, ESAT/COSIC, KU Leuven, and Mnds, Belgum bat.mennnk@esat.kuleuven.be

More information

Keyframe Control of Smoke Simulations SIGGRAPH 2003. 2005 Roland Angst

Keyframe Control of Smoke Simulations SIGGRAPH 2003. 2005 Roland Angst Keyfame Contol of Smoke Smulatons SIGGRAPH 2003 Keyfame Contol of Smoke Smulatons SIGGRAPH 2003 Authos: Aden eulle (Unesty of Washngton) Antone McNamaa (Unesty of Washngton) Zoan Popoc (Unesty of Washngton)

More information

REAL INTERPOLATION OF SOBOLEV SPACES

REAL INTERPOLATION OF SOBOLEV SPACES REAL INTERPOLATION OF SOBOLEV SPACES NADINE BADR Abstact We pove that W p s a eal ntepolaton space between W p and W p 2 fo p > and p < p < p 2 on some classes of manfolds and geneal metc spaces, whee

More information

"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *

Research Note APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES * Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789-794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC

More information

Pessu Behavior Analysis for Autologous Fluidations

Pessu Behavior Analysis for Autologous Fluidations EXPERIENCE OF USING A CFD CODE FOR ESTIMATING THE NOISE GENERATED BY GUSTS ALONG THE SUN- ROOF OF A CAR Liang S. Lai* 1, Geogi S. Djambazov 1, Choi -H. Lai 1, Koulis A. Peicleous 1, and Fédéic Magoulès

More information

FAIR VALUATION OF VARIOUS PARTICIPATION SCHEMES IN LIFE INSURANCE ABSTRACT

FAIR VALUATION OF VARIOUS PARTICIPATION SCHEMES IN LIFE INSURANCE ABSTRACT FAIR VALUAION OF VARIOUS PARIIPAION SHEMES IN LIFE INSURANE PIERRE DEVOLDER AND INMAULADA DOMÍNGUEZ-FABIÁN BY Insttut des Scences Actuaelles, Unvesté atholque de Louvan, 6 ue des Wallons, 348 Louvan la

More information

Prejudice and the Economics of Discrimination

Prejudice and the Economics of Discrimination Pelmnay Pejudce and the Economcs of Dscmnaton Kewn Kof Chales Unvesty of Chcago and NB Jonathan Guyan Unvesty of Chcago GSB and NB Novembe 17, 2006 Abstact Ths pape e-examnes the ole of employe pejudce

More information

Simulating injection moulding of microfeatured components

Simulating injection moulding of microfeatured components Smulatng njecton mouldng of mcrofeatured components T. Tofteberg 1 * and E. Andreassen 1 1 SINTEF Materals and Chemstry, Oslo, Norway terje.tofteberg@sntef.no; erk.andreassen@sntef.no Numercal smulaton

More information

PREVENTIVE AND CORRECTIVE SECURITY MARKET MODEL

PREVENTIVE AND CORRECTIVE SECURITY MARKET MODEL REVENTIVE AND CORRECTIVE SECURITY MARKET MODEL Al Ahmad-hat Rachd Cheaou and Omd Alzadeh Mousav Ecole olytechnque Fédéale de Lausanne Lausanne Swzeland al.hat@epfl.ch achd.cheaou@epfl.ch omd.alzadeh@epfl.ch

More information

LINES ON BRIESKORN-PHAM SURFACES

LINES ON BRIESKORN-PHAM SURFACES LIN ON BRIKORN-PHAM URFAC GUANGFNG JIANG, MUTUO OKA, DUC TAI PHO, AND DIRK IRMA Abstact By usng toc modfcatons and a esult of Gonzalez-pnbeg and Lejeune- Jalabet, we answe the followng questons completely

More information

Statistical modelling of gambling probabilities

Statistical modelling of gambling probabilities Ttle Statstcal modellng of gamblng pobabltes Autho(s) Lo, Su-yan, Vcto.; 老 瑞 欣 Ctaton Issued Date 992 URL http://hdl.handle.net/0722/3525 Rghts The autho etans all popetay ghts, (such as patent ghts) and

More information

IMPACT ANALYSIS OF A CELLULAR PHONE

IMPACT ANALYSIS OF A CELLULAR PHONE 4 th ASA & μeta Internatonal Conference IMPACT AALYSIS OF A CELLULAR PHOE We Lu, 2 Hongy L Bejng FEAonlne Engneerng Co.,Ltd. Bejng, Chna ABSTRACT Drop test smulaton plays an mportant role n nvestgatng

More information

IBM Research Smarter Transportation Analytics

IBM Research Smarter Transportation Analytics IBM Reseach Smate Tanspotation Analytics Laua Wynte PhD, Senio Reseach Scientist, IBM Watson Reseach Cente lwynte@us.ibm.com INSTRUMENTED We now have the ability to measue, sense and see the exact condition

More information

International Business Cycles and Exchange Rates

International Business Cycles and Exchange Rates Revew of Intenatonal Economcs, 7(4), 682 698, 999 Intenatonal Busness Cycles and Exchange Rates Chstan Zmmemann* Abstact Models of ntenatonal eal busness cycles ae not able to account fo the hgh volatlty

More information

Charging the Internet Without Bandwidth Reservation: An Overview and Bibliography of Mathematical Approaches

Charging the Internet Without Bandwidth Reservation: An Overview and Bibliography of Mathematical Approaches JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 9, -xxx (2003) Chagng the Intenet Wthout Bandwdth Resevaton: An Ovevew and Bblogaphy of Mathematcal Appoaches IRISA-INRIA Campus Unvestae de Beauleu 35042

More information

AN IMPLEMENTATION OF BINARY AND FLOATING POINT CHROMOSOME REPRESENTATION IN GENETIC ALGORITHM

AN IMPLEMENTATION OF BINARY AND FLOATING POINT CHROMOSOME REPRESENTATION IN GENETIC ALGORITHM AN IMPLEMENTATION OF BINARY AND FLOATING POINT CHROMOSOME REPRESENTATION IN GENETIC ALGORITHM Main Golub Faculty of Electical Engineeing and Computing, Univesity of Zageb Depatment of Electonics, Micoelectonics,

More information

The Can-Order Policy for One-Warehouse N-Retailer Inventory System: A Heuristic Approach

The Can-Order Policy for One-Warehouse N-Retailer Inventory System: A Heuristic Approach Atcle Te Can-Ode Polcy fo One-Waeouse N-Retale Inventoy ystem: A Heustc Appoac Vaapon Pukcanon, Paveena Caovaltongse, and Naagan Pumcus Depatment of Industal Engneeng, Faculty of Engneeng, Culalongkon

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.

More information

Design and Implementation of a Smart LED Lighting System Using a Self Adaptive Weighted Data Fusion Algorithm

Design and Implementation of a Smart LED Lighting System Using a Self Adaptive Weighted Data Fusion Algorithm Sensos 2013, 13, 16915-16939; do:10.3390/s131216915 Atcle OPEN ACCESS sensos ISSN 1424-8220 www.mdp.com/jounal/sensos Desgn and Implementaton of a Smat LED Lghtng System Usng a Self Adaptve Weghted Data

More information

Statistical Discrimination or Prejudice? A Large Sample Field Experiment. Michael Ewens, Bryan Tomlin, and Liang Choon Wang.

Statistical Discrimination or Prejudice? A Large Sample Field Experiment. Michael Ewens, Bryan Tomlin, and Liang Choon Wang. Statstcal Dscmnaton o Pejudce? A Lage Sample Feld Expement Mchael Ewens, yan Tomln, and Lang Choon ang Abstact A model of acal dscmnaton povdes testable mplcatons fo two featues of statstcal dscmnatos:

More information

Recurrence. 1 Definitions and main statements

Recurrence. 1 Definitions and main statements Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.

More information

+ + + - - This circuit than can be reduced to a planar circuit

+ + + - - This circuit than can be reduced to a planar circuit MeshCurrent Method The meshcurrent s analog of the nodeoltage method. We sole for a new set of arables, mesh currents, that automatcally satsfy KCLs. As such, meshcurrent method reduces crcut soluton to

More information

Questions & Answers Chapter 10 Software Reliability Prediction, Allocation and Demonstration Testing

Questions & Answers Chapter 10 Software Reliability Prediction, Allocation and Demonstration Testing M13914 Questions & Answes Chapte 10 Softwae Reliability Pediction, Allocation and Demonstation Testing 1. Homewok: How to deive the fomula of failue ate estimate. λ = χ α,+ t When the failue times follow

More information

Chapter 3 Savings, Present Value and Ricardian Equivalence

Chapter 3 Savings, Present Value and Ricardian Equivalence Chapte 3 Savings, Pesent Value and Ricadian Equivalence Chapte Oveview In the pevious chapte we studied the decision of households to supply hous to the labo maket. This decision was a static decision,

More information

Research on Cloud Computing Load Balancing Based on Virtual Machine Migration

Research on Cloud Computing Load Balancing Based on Virtual Machine Migration Send Odes fo Repnts to epnts@benthascence.ae 334 The Open Cybenetcs & Systecs Jounal, 205, 9, 334-340 Open Access Reseach on Cloud Coputng Load Balancng Based on Vtual Machne Mgaton Lu Kun,*, Xu Gaochao

More information

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo. ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract

More information

Chapter 4: Fluid Kinematics

Chapter 4: Fluid Kinematics Oveview Fluid kinematics deals with the motion of fluids without consideing the foces and moments which ceate the motion. Items discussed in this Chapte. Mateial deivative and its elationship to Lagangian

More information

Physics 235 Chapter 5. Chapter 5 Gravitation

Physics 235 Chapter 5. Chapter 5 Gravitation Chapte 5 Gavitation In this Chapte we will eview the popeties of the gavitational foce. The gavitational foce has been discussed in geat detail in you intoductoy physics couses, and we will pimaily focus

More information

2 r2 θ = r2 t. (3.59) The equal area law is the statement that the term in parentheses,

2 r2 θ = r2 t. (3.59) The equal area law is the statement that the term in parentheses, 3.4. KEPLER S LAWS 145 3.4 Keple s laws You ae familia with the idea that one can solve some mechanics poblems using only consevation of enegy and (linea) momentum. Thus, some of what we see as objects

More information

Statistical Discrimination or Prejudice? A Large Sample Field Experiment

Statistical Discrimination or Prejudice? A Large Sample Field Experiment DEPARTMENT OF ECONOMICS ISSN 1441-5429 DISCUSSION PAPER 23/12 Statstcal Dscmnaton o Pejudce? A Lage Sample Feld Expement Mchael Ewens, yan Tomln, and Lang Choon ang * Abstact A model of acal dscmnaton

More information

est using the formula I = Prt, where I is the interest earned, P is the principal, r is the interest rate, and t is the time in years.

est using the formula I = Prt, where I is the interest earned, P is the principal, r is the interest rate, and t is the time in years. 9.2 Inteest Objectives 1. Undestand the simple inteest fomula. 2. Use the compound inteest fomula to find futue value. 3. Solve the compound inteest fomula fo diffeent unknowns, such as the pesent value,

More information

Converting knowledge Into Practice

Converting knowledge Into Practice Conveting knowledge Into Pactice Boke Nightmae srs Tend Ride By Vladimi Ribakov Ceato of Pips Caie 20 of June 2010 2 0 1 0 C o p y i g h t s V l a d i m i R i b a k o v 1 Disclaime and Risk Wanings Tading

More information

DYNAMICS AND STRUCTURAL LOADING IN WIND TURBINES

DYNAMICS AND STRUCTURAL LOADING IN WIND TURBINES DYNAMIS AND STRUTURAL LOADING IN WIND TURBINES M. Ragheb 12/30/2008 INTRODUTION The loading egimes to which wind tubines ae subject to ae extemely complex equiing special attention in thei design, opeation

More information

VISCOSITY OF BIO-DIESEL FUELS

VISCOSITY OF BIO-DIESEL FUELS VISCOSITY OF BIO-DIESEL FUELS One of the key assumptions fo ideal gases is that the motion of a given paticle is independent of any othe paticles in the system. With this assumption in place, one can use

More information

Determinants of Borrowing Limits on Credit Cards Shubhasis Dey and Gene Mumy

Determinants of Borrowing Limits on Credit Cards Shubhasis Dey and Gene Mumy Bank of Canada Banque du Canada Wokng Pape 2005-7 / Document de taval 2005-7 Detemnants of Boowng mts on Cedt Cads by Shubhass Dey and Gene Mumy ISSN 1192-5434 Pnted n Canada on ecycled pape Bank of Canada

More information

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008 Rsk-based Fatgue Estmate of Deep Water Rsers -- Course Project for EM388F: Fracture Mechancs, Sprng 2008 Chen Sh Department of Cvl, Archtectural, and Envronmental Engneerng The Unversty of Texas at Austn

More information

The Role of Gravity in Orbital Motion

The Role of Gravity in Orbital Motion ! The Role of Gavity in Obital Motion Pat of: Inquiy Science with Datmouth Developed by: Chistophe Caoll, Depatment of Physics & Astonomy, Datmouth College Adapted fom: How Gavity Affects Obits (Ohio State

More information

Discussion Papers. Thure Traber Claudia Kemfert

Discussion Papers. Thure Traber Claudia Kemfert Dscusson Papes Thue Tabe Clauda Kemfet Impacts of the Geman Suppot fo Renewable Enegy on Electcty Pces, Emssons and Pofts: An Analyss Based on a Euopean Electcty Maket Model Beln, July 2007 Opnons expessed

More information

Epdf Sulf petroleum, Eflecti and Eeflecti

Epdf Sulf petroleum, Eflecti and Eeflecti ANALYSIS OF GLOBAL WARMING MITIGATION BY WHITE REFLECTING SURFACES Fedeico Rossi, Andea Nicolini Univesity of Peugia, CIRIAF Via G.Duanti 67 0615 Peugia, Italy T: +9-075-585846; F: +9-075-5848470; E: fossi@unipg.it

More information

Questions for Review. By buying bonds This period you save s, next period you get s(1+r)

Questions for Review. By buying bonds This period you save s, next period you get s(1+r) MACROECONOMICS 2006 Week 5 Semina Questions Questions fo Review 1. How do consumes save in the two-peiod model? By buying bonds This peiod you save s, next peiod you get s() 2. What is the slope of a consume

More information

Tracking/Fusion and Deghosting with Doppler Frequency from Two Passive Acoustic Sensors

Tracking/Fusion and Deghosting with Doppler Frequency from Two Passive Acoustic Sensors Tacking/Fusion and Deghosting with Dopple Fequency fom Two Passive Acoustic Sensos Rong Yang, Gee Wah Ng DSO National Laboatoies 2 Science Pak Dive Singapoe 11823 Emails: yong@dso.og.sg, ngeewah@dso.og.sg

More information

ON THE (Q, R) POLICY IN PRODUCTION-INVENTORY SYSTEMS

ON THE (Q, R) POLICY IN PRODUCTION-INVENTORY SYSTEMS ON THE R POLICY IN PRODUCTION-INVENTORY SYSTEMS Saifallah Benjaafa and Joon-Seok Kim Depatment of Mechanical Engineeing Univesity of Minnesota Minneapolis MN 55455 Abstact We conside a poduction-inventoy

More information

Voltage ( = Electric Potential )

Voltage ( = Electric Potential ) V-1 of 9 Voltage ( = lectic Potential ) An electic chage altes the space aound it. Thoughout the space aound evey chage is a vecto thing called the electic field. Also filling the space aound evey chage

More information

A Glossary Of Complex Envelope Vectoization And Its Working Principle

A Glossary Of Complex Envelope Vectoization And Its Working Principle Complex Envelope Vectoization fo the solution of mid-high fequency acoustic poblems A. Sestiei Depatment of Mechanical and Aeospace Engineeing Univesity of Rome la Sapienza Pesentation layout - Low fequency

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

Ilona V. Tregub, ScD., Professor

Ilona V. Tregub, ScD., Professor Investment Potfolio Fomation fo the Pension Fund of Russia Ilona V. egub, ScD., Pofesso Mathematical Modeling of Economic Pocesses Depatment he Financial Univesity unde the Govenment of the Russian Fedeation

More information

where the coordinates are related to those in the old frame as follows.

where the coordinates are related to those in the old frame as follows. Chapter 2 - Cartesan Vectors and Tensors: Ther Algebra Defnton of a vector Examples of vectors Scalar multplcaton Addton of vectors coplanar vectors Unt vectors A bass of non-coplanar vectors Scalar product

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

Trading Volume and Serial Correlation in Stock Returns in Pakistan. Abstract

Trading Volume and Serial Correlation in Stock Returns in Pakistan. Abstract Tading Volume and Seial Coelation in Stock Retuns in Pakistan Khalid Mustafa Assistant Pofesso Depatment of Economics, Univesity of Kaachi e-mail: khalidku@yahoo.com and Mohammed Nishat Pofesso and Chaiman,

More information

Electronic Structure Methods

Electronic Structure Methods Electonc Stuctue Methods One-electon models e.g., Huckel theoy Semempcal methods e.g., AM, PM3, MNDO Sngle-efeence based ab nto methods Hatee-Fock Petubaton theoy MP, MP3, MP4 Coupled cluste theoy e.g.,

More information

Software Engineering and Development

Software Engineering and Development I T H E A 67 Softwae Engineeing and Development SOFTWARE DEVELOPMENT PROCESS DYNAMICS MODELING AS STATE MACHINE Leonid Lyubchyk, Vasyl Soloshchuk Abstact: Softwae development pocess modeling is gaining

More information

Give me all I pay for Execution Guarantees in Electronic Commerce Payment Processes

Give me all I pay for Execution Guarantees in Electronic Commerce Payment Processes Give me all I pay fo Execution Guaantees in Electonic Commece Payment Pocesses Heiko Schuldt Andei Popovici Hans-Jög Schek Email: Database Reseach Goup Institute of Infomation Systems ETH Zentum, 8092

More information

STUDENT RESPONSE TO ANNUITY FORMULA DERIVATION

STUDENT RESPONSE TO ANNUITY FORMULA DERIVATION Page 1 STUDENT RESPONSE TO ANNUITY FORMULA DERIVATION C. Alan Blaylock, Hendeson State Univesity ABSTRACT This pape pesents an intuitive appoach to deiving annuity fomulas fo classoom use and attempts

More information

Carter-Penrose diagrams and black holes

Carter-Penrose diagrams and black holes Cate-Penose diagams and black holes Ewa Felinska The basic intoduction to the method of building Penose diagams has been pesented, stating with obtaining a Penose diagam fom Minkowski space. An example

More information

Project Networks With Mixed-Time Constraints

Project Networks With Mixed-Time Constraints Project Networs Wth Mxed-Tme Constrants L Caccetta and B Wattananon Western Australan Centre of Excellence n Industral Optmsaton (WACEIO) Curtn Unversty of Technology GPO Box U1987 Perth Western Australa

More information

UNIVERSIDAD DE LA REPÚBLICA Facultad de Ingeniería RESOURCE ALLOCATION IN NETWORKS FROM A CONNECTION-LEVEL PERSPECTIVE

UNIVERSIDAD DE LA REPÚBLICA Facultad de Ingeniería RESOURCE ALLOCATION IN NETWORKS FROM A CONNECTION-LEVEL PERSPECTIVE UNIVERSIDAD DE LA REPÚBLICA Facultad de Ingeneía Tess paa opta al Título de Docto en Ingeneía Eléctca RESOURCE ALLOCATION IN NETWORKS FROM A CONNECTION-LEVEL PERSPECTIVE (ASIGNACIÓN DE RECURSOS EN REDES

More information

Order-Degree Curves for Hypergeometric Creative Telescoping

Order-Degree Curves for Hypergeometric Creative Telescoping Ode-Degee Cuves fo Hyegeometc Ceatve Telescong ABSTRACT Shaosh Chen Deatment of Mathematcs NCSU Ralegh, NC 7695, USA schen@ncsuedu Ceatve telescong aled to a bvaate oe hyegeometc tem oduces lnea ecuence

More information

A Markov Chain Grey Forecasting Model: A Case Study of Energy Demand of Industry Sector in Iran

A Markov Chain Grey Forecasting Model: A Case Study of Energy Demand of Industry Sector in Iran 0 3d Iteatoal Cofeece o Ifomato ad Facal Egeeg IED vol. (0) (0) IACSIT ess, Sgapoe A Makov Cha Gey Foecastg Model: A Case Study of Eegy Demad of Idusty Secto Ia A. Kazem +, M. Modaes, M.. Mehega, N. Neshat

More information

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research, 2014, 6(7):1884-1889 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 A hybrd global optmzaton algorthm based on parallel

More information

YARN PROPERTIES MEASUREMENT: AN OPTICAL APPROACH

YARN PROPERTIES MEASUREMENT: AN OPTICAL APPROACH nd INTERNATIONAL TEXTILE, CLOTHING & ESIGN CONFERENCE Magic Wold of Textiles Octobe 03 d to 06 th 004, UBROVNIK, CROATIA YARN PROPERTIES MEASUREMENT: AN OPTICAL APPROACH Jana VOBOROVA; Ashish GARG; Bohuslav

More information

The impact of migration on the provision. of UK public services (SRG.10.039.4) Final Report. December 2011

The impact of migration on the provision. of UK public services (SRG.10.039.4) Final Report. December 2011 The impact of migation on the povision of UK public sevices (SRG.10.039.4) Final Repot Decembe 2011 The obustness The obustness of the analysis of the is analysis the esponsibility is the esponsibility

More information

Comparing Availability of Various Rack Power Redundancy Configurations

Comparing Availability of Various Rack Power Redundancy Configurations Compaing Availability of Vaious Rack Powe Redundancy Configuations By Victo Avela White Pape #48 Executive Summay Tansfe switches and dual-path powe distibution to IT equipment ae used to enhance the availability

More information

Impact on inventory costs with consolidation of distribution centers

Impact on inventory costs with consolidation of distribution centers IIE Tansactons (2) 33, 99± Imact on nventoy costs wth consoldaton of dstbuton centes CHUNG PIAW TEO, JIHONG OU and MARK GOH Deatment of Decson Scences, Faculty of Busness Admnstaton, Natonal Unvesty of

More information

Spirotechnics! September 7, 2011. Amanda Zeringue, Michael Spannuth and Amanda Zeringue Dierential Geometry Project

Spirotechnics! September 7, 2011. Amanda Zeringue, Michael Spannuth and Amanda Zeringue Dierential Geometry Project Spiotechnics! Septembe 7, 2011 Amanda Zeingue, Michael Spannuth and Amanda Zeingue Dieential Geomety Poject 1 The Beginning The geneal consensus of ou goup began with one thought: Spiogaphs ae awesome.

More information

Computational Fluid Dynamics II

Computational Fluid Dynamics II Computatonal Flud Dynamcs II Eercse 2 1. Gven s the PDE: u tt a 2 ou Formulate the CFL-condton for two possble eplct schemes. 2. The Euler equatons for 1-dmensonal, unsteady flows s dscretsed n the followng

More information