Simulation of Under Water Explosion using MSC.Dytran

Size: px
Start display at page:

Download "Simulation of Under Water Explosion using MSC.Dytran"

Transcription

1 Smulaton of Under Water Exploson usng MSC.Dytran Peran Dng rjaan Bujk MSC.Software Corporaton 2300 Traverwood Drve nn rbor, MI (734) Ths paper descrbes the numercal smulaton of a cylnder submerged under water subjected to exploson usng MSC.Dytran. The cylnder s modeled usng a Lagrangan mesh. Multple Euler domans are used to the ar nsde the cylnder, the surroundng ar, water and the explosve. Snce the model ncludes ar, water and explosve, a multmateral Euler solver s requred. fast general couplng s used to smulate the nteracton between the Lagrangan mesh and Euler mesh. When by the mpact of the shock wave and subsequent gas bubble, the cylndrcal structure deforms, fals and water flow nto the cylnder. INTRODUCTION When a submerged structure subjected to UNDer water EXploson (UNDEX) loadng, t s mportant to predct the structural response to the shock wave. Further more, n the case of the exploson occurrng close to the structure, a hgh velocty water jet penetratng the gas bubble occurs. Ths water jet s extremely effcent n producng damage. Shockwave Pressure 1 st Bubble Pulse 2 nd Bubble Pulse 3 rd Bubble Pulse Tme Fg. 1 Pressure waves and bubble phenomena of UNDEX

2 Fgure 1 [1] llustrates the pressure-tme hstory, whch s observed n the water at a fxed dstance from the pont of exploson. Upon arrval of the shock wave, the pressure rses nstantaneously to the peak value and decreases at nearly exponental rate. Subsequent to the shock wave, other pressure pulses occur. These pulses arse from a much slower phenomenon, namely the pulsatng of the gas bubble, whch contans the gaseous products of the exploson. The hgh pressure of the gas causes an ntally rapd expanson of the bubble and the nerta of the outward movng water carres t far beyond the pont of pressure equlbrum. The outward moton stops only after the gas pressure has fallen substantally below the ambent pressure. Now the hgher surroundng pressure reverse the moton. gan the flow overshoots the equlbrum and when the bubble reaches ts mnmum sze, the gas s recompressed to a pressure of several hundred atmospheres. t ths pont we have effectvely a second exploson and the whole process s repeated. The bubble oscllates n ths way several tmes. The poston and the sze of the bubble are shown n Fg. 1 for a few specfc moments, whch correspond to the pressure-tme curve as ndcated above. The pressure-tme hstory reflects the low gas pressure durng the phase where the bubble s large and t shows the pressure pulses, whch are emtted from the bubble near ts mnmum. The perod of the bubble pulsatons s very long when compared wth the shock wave porton of the pressure-tme hstory of an exploson. In partcular, ths duraton s long enough for gravty to become effectve. Such a bubble has great buoyancy and, therefore, mgrates upward. However, t does not float up lke a balloon, but shoots up n jumps. In order to be able to predct structural behavor under UNDEX loadng wthout gong nto destructve testng, a lot of fnte element computer analyss have been made. In ths knd of analyss the structural part of the problem has been modeled by a FEM package and the loadng functon of the UNDEX had to be devsed from one- or twodmenson explosve shockwave theory or from experments that were performed wthout a structure. In these approaches the three-dmensonal flud-structure nteracton s not take nto account, whch can lead to erroneous results. Ths s certanly true for near feld UNDEX problems where the nteracton s hghly three-dmensonal and very large deformatons of the structure can occur. MSC.Dytran [2] s a commercal software package for short-term transent analyses that nvolve structural parts and/or computatonal flud dynamcs (CFD) parts. The CFD solver of MSC.Dytran uses a Euleran approach and employs a fnte volume method to dscretze the governng equatons. These equatons are the conservaton laws and are ntegrated n tme by a frst-order explct dynamc procedure. The Euler mesh s statonary n the space whle the flud can flow through the mesh. CFD smulatons provde flud velocty, pressure felds and other varables. In smulatons wth flud-structure nteracton the flud nsde a fnte volume doman s bounded by a surface that represents the nteractng structure. Ths surface s called a couplng surface and enables the flud to exert a force on a deformable structure. MSC.Dytran has been used n UNDEX smulatons snce By usng MSC.Dytran, Chsum and Shn [3] studed the behavor of the bubbles for the charge type, charge wegh, and hydrostatc pressure. However, only Euler Solver (CFD) was used n ther analyss. Unemoto et al. [4] took nto account the flud-structure nteracton by usng LE technque of MSC.Dytran, whch requres detaled meshng by the user. unque daptve Multple Euler Domans [5, 6] technology had been developed n MSC.Dytran for sngle and mult-materal Euler solvers. Multple Euler domans are automatcally generated around a couplng surface, and each Euler doman automatcally adapts tself when the couplng surface moves and deforms. The Euler materals can be ether hydrodynamc or have shear strength. Materal n- and out-flow can be defned, as well as flow between the Euler domans across porous or open areas n the couplng surfaces. When the structure fals, the Euler materals flow through the holes, faled surfaces and ruptured areas. Ths daptve Multple Euler Domans technology makes effcent modelng of UNDEX usng MSC.Dytran possble. The purpose of ths paper s to demonstrate the applcaton of Multple-materal Euler solver wth daptve Multple Domans to the UNDEX process. The problem smulates a cylnder submerged under water subjected to exploson usng MSC.Dytran. The cylnder s modeled usng a Lagrangan mesh. Multple Euler domans are used to the ar nsde the cylnder, the surroundng ar, water and the explosve. fast general couplng s used to smulate the nteracton between the Lagrangan mesh and Euler mesh. When by the mpact of the shock wave and subsequent gas bubble, the cylndrcal structure deforms, ruptures due to plastc stran falure and water flow nto the cylnder. FORMULTION OF THE PHYSICL PROBLEM In a typcal UNDEX smulaton there are ar, water, explosve and the metal of the cylnder.

3 The ar s assumed to be deal and to satsfy the equaton of state: p = ( γ 1) ρe (1) Here p, ρ and e are respectvely the pressure, densty and specfc nternal energy and γ s the rato of the heat capactes of the gas. The explosve s modeled as a compressed hot gas n ths smulaton. The water s assumed to be compressble but nvscd and rrotatonal. It s modeled wth a polynomal equaton of state as follows: ρ p = k( 1) (2) ρ Here k s bulk modulus, and 0 are respectvely the overall densty and reference densty. The materal flow s descrbed by the conservaton laws for mass, momentum and energy, that read: d dt d dt V d dt 0 dv + ρ( u n) d = V ρ 0 (3) ρ u dv + ρu ( u n) d = pn d (4) V ρ edv + ρe( u n) d = u pn d (5) Here V s a volume, s the boundary of ths volume, n s the normal vector along the surface, u denotes the velocty vector n the volume. In applyng the conservaton law of mass, mass s transported from one element to the other. Both the donatng element as well as the recevng element can have multple materals. Euler elements can contan up to fve materals n one element. Frst the materals common to both elements are transported out of the donatng element and f no common materal s left n the donatng element other materals are transported as well. Ths approach mnmzes unphyscal mxng and preserves materal nterfaces between ar and water as much as possble. To apply the conservaton laws for Euler elements that are only partally nsde the couplng surface the boundary of that part of an Euler element that s nsde the couplng surface has to be determned. Ths boundary conssts of the nterfaces between Euler elements and the ntersecton of the couplng surface wth the Euler element. These ntersectons are called polpacks. The conservaton laws are appled to that part of the Euler element that s nsde the couplng surface and surface ntegrals are computed by summng across the Euleran nterfaces and the polpacks. Flow and other communcaton from one Euler mesh to the other take place through porous shell elements, that are common to both couplng surfaces [6]. The pressure computaton n elements that contan a mxture of ar and water s based on one of the thermodynamc equlbrum prncples that amounts to pressure equlbrum. In an Euler element wth both ar and water there s a dstnct pressure nsde the ar and a dstnct pressure nsde the water. lthough masses are fxed durng the pressure computaton the volume of the ar and the volume of the water are not fxed and they are adjusted teratvely untl the pressure n the water equals the pressure n the ar. The cylnder conssts of shell elements that deform under stresses and support falure models. n explct fnte element solver solves the shell dynamcs, and an explct Euler solver models the materal nsde and outsde the cylnder. The nteracton between these two solvers takes place n two steps: (1) The mass n the Euler elements exerts a pressure load on the cylnder surface. These loads consttute the boundary condtons for the fnte element solver, resultng n new grdpont acceleratons and veloctes for the cylnder. From the updated plastc stran or updated stresses of the shell elements t s determned whch elements are falng. Fnally the cylnder grd ponts are moved wth the new veloctes. (2) The cylnder grd ponts move and so the Euler mesh has a new boundary. Consequently, the volume of mass n each element may change. Snce densty s mass dvded by the volume of the mass, denstes also change, and so pressure. NUMERICL MODELS The relatve poston of the cylnder, water surface and explosve s shown n Fg. 2.

4 r Water 1.5 m Cylnder 1 m Explosves 1.5 m Fg. 2 Postons of cylnder, water surface and explosve To model the flud nsde and outsde of the cylnder, two Euler domans are used. The outer doman has the cylnder surface as part of the boundary, materal s outsde the cylnder surface and there s no materal nsde the cylnder surface. The contents nsde the cylnder are modeled n the nner doman and ths doman s also enclosed by the cylnder surface. Materal of the nner doman s nsde the cylnder surface and there s no materal outsde the cylnder surface. Therefore both Euler domans use the cylnder surface as part of ther enclosure. The outer Euler doman and ts enclosng surface are shown n Fg. 3. The outer boundary of the outer doman s gven by a suffcently large fxed box. Pressure at the outer boundary s set to the hydrostatc pressure. Ths behaves lke open boundary. The Euler mesh contans the water and the ar on the top of the water. The densty of water s 1000 Kg/ m 3. The bulk modulus s taken as 2.2E9 Pa. Water hydrostatc pressure s defned startng from 1.0E5 Pa at the surface and ncreasng gong down. mnmum pressure of zero s defned for the water, so that f a porton of water got a negatve pressure, all of the water would flow out of that regon and a vod would be created. The densty of ar s Kg/ m 3. The rato of the heat capactes of the gas s constant as 1.4. Specfc nternal energy s taken as 2.14E5 Kg-m 2 /s 2. Intal ar pressure s set to 1.0E5 Pa. Outer Euler doman: Large fxed box wth open boundary Inner Euler doman r Cylnder surface r Water Cylnder surface Fg. 3 Outer Euler doman and ts enclosng surface Fg. 4 Inner Euler doman and ts enclosng surface

5 The explosve TNT s created n ths Euler mesh, too. The densty of the explosve s 1700 Kg/ m 3 and the mass s Kg. The specfc nternal energy s 4.765E6 Kg-m 2 /s 2. The explosve can be modeled by a JWL or IG (Ignton and Growth) equaton of state n MSC.Dytran. However f we assume that the explosve s a ball, the radus of the ball s only 0.04 m. fner mesh has to be created to smulate ths small ball. In ths smulaton the explosve s defned as a compressed hot gas (γ=1.4). The mass and specfc nternal energy are those of the explosve charge. The radus of the gas ball s taken as 0.1m and the densty s adjusted to 105 Kg/ m 3 to keep equvalent mass of the explosve. Intal ar pressure s calculated from Eq. (1) to be 2.0E8 Pa. The nner Euler doman s shown n Fg. 4. The surface presents the outer boundary of the doman. The nner doman s ntalzed by ar. The outer and the nner domans have meshes that do not concde. The element sze for each doman s the same as 0.1 m n ths smulaton. Snce the purpose of ths paper s just to demonstrate the new technology n MSC.Dytran, the model has been 0.1 s 0.2 s s 0.38 s 0.45 s 0.5 s Fg. 5 Isosurfaces of materal fractons

6 smplfed and no detals of the cylnder are modeled. The cylnder s modeled wth Lagrangan shell elements ncorporatng both a plastcty model as well as a falure model. It s 0.6 m long wth dameter of 1.0 m. The end covers are modeled as rgd bodes havng the approprate mass and center of gravty. Once any of these elements exceeds some falure crteron t fals. Snce the boundary of the fnte volume doman s provded by the shell elements of the cylnder, once shell element fal flow takes place between the nner Euleran doman and the outer Euleran doman. Gravty load s appled to the whole model. 0.1 s 0.2 s s 0.38 s 0.45 s 0.5 s Fg. 6a Effectve stress plotted on the deformed shapes of the cylnder

7 0.1 s 0.2 s s 0.38 s 0.45 s 0.5 s Fg. 6b Effectve plastc stran plotted on the deformed shapes of the cylnder

8 RESULTS ND DISCUSSION The smulaton s carred out 0.5 seconds for the duraton of the formaton and collapse of the frst and second bubble untl begnnng of formaton of the thrd bubble. The CPU tme to run ths model s 34 hours on a Wndows GHz. Plots of the water bubble shapes are shown n Fg. 5. The frst bubble came n touch wth the structure and collapsed on causng a bubble jet. Damages on the cylnder caused by ths jet are observed. Then the second bubble collapsed on the cylnder and the formed bubble jet enlarge the damages. The effectve stress and plastc stran are plotted on the deformed and damaged shapes of the cylnder as shown n Fg. 6. Fgure 7 shows velocty dstrbuton of the flud. The frst and second bubble jets emtted near the bubble mnmum radus are clearly seen n the plot at 0.2 s and 0.38 s, respectvely. 0.2 s 0.38 s Fg. 7 Velocty dstrbuton of flud Sne the explosve s defned as a compressed hot gas, t may affect the shock wave characterstcs. However, t models the bubble formaton and collapse correctly together wth bubble pulse loadng. Wth regard to the purpose of ths smulaton, no attempt s made to study effect of the shock wave on the structure, whch s also very mportant. However, the method presented does not put any restrcton on ths knd of smulaton. CONCLUSION It s now possble to accurately smulate UNDEX, usng the Mult-materal Euler Solver of MSC.Dytran. The unque daptve Multple Euler Domans technology makes t possble to model effcently. lthough expermental data s not avalable, the smulaton results confrm expectatons. CKNOWLEDGMENTS Fgure 5-7 s made wth CEI-Ensght. The authors apprecate Wolter van der Veen and Paul Bus for ther valuable dscusson and suggeston.

9 REFERENCES 1. Swsdak, M. M., 1978, Exploson effects and propertes: PRT II - Exploson effect n water, Naval Surface Weapons Center. 2. lnk to the webste of MSC.Dytran can be found at the followng URL: 3. Chsum, J.E. and Shn, Y.S., Exploson Gas Bubble Near Smple Boundares, Shock and Vbraton, 1997, Vol. 4, No. 1, pp Umemoto, K., Sakaue, H. and Gefken, P., Comparson of Numercal Smulaton by a Multmateral LE Flud-structure Interacton nalyss Code wth Interface Pressure Measurements, the 70 th Shock and Vbraton Symposum, van der Veen, W.., Smulaton of a compartmented arbag deployment usng an explct, coupled Euler/Lagrange method wth adaptve Euler domans, NFEMS, March 2003, Florda. 5. van der Veen, W.., Crushng smulaton of a partally flled Fuel Tank beyond falure, 2005 SE World Congress, prl 2005, Detrot. (to appear) 6. Hrsch, C., 1990, Numercal Computaton of Internal and External Flows, John Wley&Sons.

Damage detection in composite laminates using coin-tap method

Damage detection in composite laminates using coin-tap method Damage detecton n composte lamnates usng con-tap method S.J. Km Korea Aerospace Research Insttute, 45 Eoeun-Dong, Youseong-Gu, 35-333 Daejeon, Republc of Korea yaeln@kar.re.kr 45 The con-tap test has the

More information

SIMULATION OF THERMAL AND CHEMICAL RELAXATION IN A POST-DISCHARGE AIR CORONA REACTOR

SIMULATION OF THERMAL AND CHEMICAL RELAXATION IN A POST-DISCHARGE AIR CORONA REACTOR XVIII Internatonal Conference on Gas Dscharges and Ther Applcatons (GD 2010) Grefswald - Germany SIMULATION OF THERMAL AND CHEMICAL RELAXATION IN A POST-DISCHARGE AIR CORONA REACTOR M. Mezane, J.P. Sarrette,

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

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

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

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

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

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

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background: SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and

More information

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP)

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP) 6.3 / -- Communcaton Networks II (Görg) SS20 -- www.comnets.un-bremen.de Communcaton Networks II Contents. Fundamentals of probablty theory 2. Emergence of communcaton traffc 3. Stochastc & Markovan Processes

More information

An Interest-Oriented Network Evolution Mechanism for Online Communities

An Interest-Oriented Network Evolution Mechanism for Online Communities An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne

More information

Rotation Kinematics, Moment of Inertia, and Torque

Rotation Kinematics, Moment of Inertia, and Torque Rotaton Knematcs, Moment of Inerta, and Torque Mathematcally, rotaton of a rgd body about a fxed axs s analogous to a lnear moton n one dmenson. Although the physcal quanttes nvolved n rotaton are qute

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

) of the Cell class is created containing information about events associated with the cell. Events are added to the Cell instance

) of the Cell class is created containing information about events associated with the cell. Events are added to the Cell instance Calbraton Method Instances of the Cell class (one nstance for each FMS cell) contan ADC raw data and methods assocated wth each partcular FMS cell. The calbraton method ncludes event selecton (Class Cell

More information

What is Candidate Sampling

What is Candidate Sampling What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble

More information

Inner core mantle gravitational locking and the super-rotation of the inner core

Inner core mantle gravitational locking and the super-rotation of the inner core Geophys. J. Int. (2010) 181, 806 817 do: 10.1111/j.1365-246X.2010.04563.x Inner core mantle gravtatonal lockng and the super-rotaton of the nner core Matheu Dumberry 1 and Jon Mound 2 1 Department of Physcs,

More information

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 7. Root Dynamcs 7.2 Intro to Root Dynamcs We now look at the forces requred to cause moton of the root.e. dynamcs!!

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

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

TECHNICAL NOTES 3. Hydraulic Classifiers

TECHNICAL NOTES 3. Hydraulic Classifiers TECHNICAL NOTES 3 Hydraulc Classfers 3.1 Classfcaton Based on Dfferental Settlng - The Hydrocyclone 3.1.1 General prncples of the operaton of the hydrocyclone The prncple of operaton of the hydrocyclone

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

An Overview of Computational Fluid Dynamics

An Overview of Computational Fluid Dynamics An Overvew of Computatonal Flud Dynamcs Joel Ducoste Assocate Professor Department of Cvl, Constructon, and Envronmental Engneerng MBR Tranng Semnar Ghent Unversty July 15 17, 2008 Outlne CFD? What s that?

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

Imperial College London

Imperial College London F. Fang 1, C.C. Pan 1, I.M. Navon 2, M.D. Pggott 1, G.J. Gorman 1, P.A. Allson 1 and A.J.H. Goddard 1 1 Appled Modellng and Computaton Group Department of Earth Scence and Engneerng Imperal College London,

More information

Faraday's Law of Induction

Faraday's Law of Induction Introducton Faraday's Law o Inducton In ths lab, you wll study Faraday's Law o nducton usng a wand wth col whch swngs through a magnetc eld. You wll also examne converson o mechanc energy nto electrc energy

More information

Mean Molecular Weight

Mean Molecular Weight Mean Molecular Weght The thermodynamc relatons between P, ρ, and T, as well as the calculaton of stellar opacty requres knowledge of the system s mean molecular weght defned as the mass per unt mole of

More information

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence 1 st Internatonal Symposum on Imprecse Probabltes and Ther Applcatons, Ghent, Belgum, 29 June 2 July 1999 How Sets of Coherent Probabltes May Serve as Models for Degrees of Incoherence Mar J. Schervsh

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

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

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by 6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng

More information

Calculating the high frequency transmission line parameters of power cables

Calculating the high frequency transmission line parameters of power cables < ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,

More information

INVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMA-HDR NETWORKS

INVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMA-HDR NETWORKS 21 22 September 2007, BULGARIA 119 Proceedngs of the Internatonal Conference on Informaton Technologes (InfoTech-2007) 21 st 22 nd September 2007, Bulgara vol. 2 INVESTIGATION OF VEHICULAR USERS FAIRNESS

More information

Computational Modelling of Free Surface Flows: wave interaction with fixed and floating bodies

Computational Modelling of Free Surface Flows: wave interaction with fixed and floating bodies Computatonal Modellng of Free Surface Flows: wave nteracton wth fxed and floatng bodes Dere Causon, Clve Mngham, Lng Qan Zheng Zheng Hu and Hanbn Gu Department of Computng & Mathematcs Centre for Mathematcal

More information

The Effect of Mean Stress on Damage Predictions for Spectral Loading of Fiberglass Composite Coupons 1

The Effect of Mean Stress on Damage Predictions for Spectral Loading of Fiberglass Composite Coupons 1 EWEA, Specal Topc Conference 24: The Scence of Makng Torque from the Wnd, Delft, Aprl 9-2, 24, pp. 546-555. The Effect of Mean Stress on Damage Predctons for Spectral Loadng of Fberglass Composte Coupons

More information

Viscosity of Solutions of Macromolecules

Viscosity of Solutions of Macromolecules Vscosty of Solutons of Macromolecules When a lqud flows, whether through a tube or as the result of pourng from a vessel, layers of lqud slde over each other. The force f requred s drectly proportonal

More information

Section C2: BJT Structure and Operational Modes

Section C2: BJT Structure and Operational Modes Secton 2: JT Structure and Operatonal Modes Recall that the semconductor dode s smply a pn juncton. Dependng on how the juncton s based, current may easly flow between the dode termnals (forward bas, v

More information

Extending Probabilistic Dynamic Epistemic Logic

Extending Probabilistic Dynamic Epistemic Logic Extendng Probablstc Dynamc Epstemc Logc Joshua Sack May 29, 2008 Probablty Space Defnton A probablty space s a tuple (S, A, µ), where 1 S s a set called the sample space. 2 A P(S) s a σ-algebra: a set

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

Calculation of Sampling Weights

Calculation of Sampling Weights Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample

More information

CFD MODELLING BY DHI. Statement of Qualifications

CFD MODELLING BY DHI. Statement of Qualifications Statement of Qualfcatons CFD Modellng by DHI/hkh/hec-ybr/pot/ShortDescrptons 08/10 CFD Modellng by DHI The capablty of understandng and nvestgatng the motons of lquds and gasses n detal s of great mportance

More information

Performance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application

Performance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application Internatonal Journal of mart Grd and lean Energy Performance Analyss of Energy onsumpton of martphone Runnng Moble Hotspot Applcaton Yun on hung a chool of Electronc Engneerng, oongsl Unversty, 511 angdo-dong,

More information

Time Domain simulation of PD Propagation in XLPE Cables Considering Frequency Dependent Parameters

Time Domain simulation of PD Propagation in XLPE Cables Considering Frequency Dependent Parameters Internatonal Journal of Smart Grd and Clean Energy Tme Doman smulaton of PD Propagaton n XLPE Cables Consderng Frequency Dependent Parameters We Zhang a, Jan He b, Ln Tan b, Xuejun Lv b, Hong-Je L a *

More information

Topical Workshop for PhD students Adsorption and Diffusion in MOFs Institut für Nichtklassische Chemie, Germany, www.uni-leipzig.

Topical Workshop for PhD students Adsorption and Diffusion in MOFs Institut für Nichtklassische Chemie, Germany, www.uni-leipzig. Gas Separaton and Purfcaton Measurement of Breakthrough Curves Topcal Workshop for PhD students Adsorpton and Dffuson n MOFs Adsorpton on Surfaces / Separaton effects Useful features Thermodynamc effect

More information

Actuator forces in CFD: RANS and LES modeling in OpenFOAM

Actuator forces in CFD: RANS and LES modeling in OpenFOAM Home Search Collectons Journals About Contact us My IOPscence Actuator forces n CFD: RANS and LES modelng n OpenFOAM Ths content has been downloaded from IOPscence. Please scroll down to see the full text.

More information

VoIP Playout Buffer Adjustment using Adaptive Estimation of Network Delays

VoIP Playout Buffer Adjustment using Adaptive Estimation of Network Delays VoIP Playout Buffer Adjustment usng Adaptve Estmaton of Network Delays Mroslaw Narbutt and Lam Murphy* Department of Computer Scence Unversty College Dubln, Belfeld, Dubln, IRELAND Abstract The poor qualty

More information

Goals Rotational quantities as vectors. Math: Cross Product. Angular momentum

Goals Rotational quantities as vectors. Math: Cross Product. Angular momentum Physcs 106 Week 5 Torque and Angular Momentum as Vectors SJ 7thEd.: Chap 11.2 to 3 Rotatonal quanttes as vectors Cross product Torque expressed as a vector Angular momentum defned Angular momentum as a

More information

TECHNICAL NOTES 8 GRINDING. R. P. King

TECHNICAL NOTES 8 GRINDING. R. P. King TECHNICAL NOTES 8 GRINDING R. P. Kng Copyrght R P kng 000 8. Grndng 8.. Grndng acton Industral grndng machnes used n the mneral processng ndustres are mostly of the tumblng mll type. These mlls exst n

More information

Inter-Ing 2007. INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007.

Inter-Ing 2007. INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007. Inter-Ing 2007 INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007. UNCERTAINTY REGION SIMULATION FOR A SERIAL ROBOT STRUCTURE MARIUS SEBASTIAN

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

DECOMPOSITION OF MEASURED GROUND VIBRATIONS INTO BASIC SOIL WAVES

DECOMPOSITION OF MEASURED GROUND VIBRATIONS INTO BASIC SOIL WAVES DECOMPOSITION OF MEASURED GROUND VIBRATIONS INTO BASIC SOIL WAVES D. Macjausas Department of Scence & Technology, Unversty of Luembourg, Luembourg S. Van Baars Department of Scence & Technology, Unversty

More information

Lecture 2: Single Layer Perceptrons Kevin Swingler

Lecture 2: Single Layer Perceptrons Kevin Swingler Lecture 2: Sngle Layer Perceptrons Kevn Sngler kms@cs.str.ac.uk Recap: McCulloch-Ptts Neuron Ths vastly smplfed model of real neurons s also knon as a Threshold Logc Unt: W 2 A Y 3 n W n. A set of synapses

More information

How To Understand The Results Of The German Meris Cloud And Water Vapour Product

How To Understand The Results Of The German Meris Cloud And Water Vapour Product Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller

More information

1 Example 1: Axis-aligned rectangles

1 Example 1: Axis-aligned rectangles COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture # 6 Scrbe: Aaron Schld February 21, 2013 Last class, we dscussed an analogue for Occam s Razor for nfnte hypothess spaces that, n conjuncton

More information

Numerical Analysis on Rapid Decompression in Conventional Dry Gases using One- Dimensional Mathematical Modeling

Numerical Analysis on Rapid Decompression in Conventional Dry Gases using One- Dimensional Mathematical Modeling World Academy of Scence, Engneerng and Technology Internatonal Journal of Mathematcal, Computatonal, Physcal, Electrcal and Computer Engneerng Vol:6, o:3, 01 umercal Analyss on Rapd Decompresson n Conventonal

More information

On the Optimal Control of a Cascade of Hydro-Electric Power Stations

On the Optimal Control of a Cascade of Hydro-Electric Power Stations On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;

More information

A machine vision approach for detecting and inspecting circular parts

A machine vision approach for detecting and inspecting circular parts A machne vson approach for detectng and nspectng crcular parts Du-Mng Tsa Machne Vson Lab. Department of Industral Engneerng and Management Yuan-Ze Unversty, Chung-L, Tawan, R.O.C. E-mal: edmtsa@saturn.yzu.edu.tw

More information

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College Feature selecton for ntruson detecton Slobodan Petrovć NISlab, Gjøvk Unversty College Contents The feature selecton problem Intruson detecton Traffc features relevant for IDS The CFS measure The mrmr measure

More information

Numerical Simulation of Explosive Combustion Following Ignition of a Fuel Vapor Cloud

Numerical Simulation of Explosive Combustion Following Ignition of a Fuel Vapor Cloud Numercal Smulaton of Explosve Combuston Followng Ignton of a Fuel Vapor Cloud ZHIXIN HU and ARNAUD TROUVE Department of Fre Protecton Engneerng Unversty of Maryland College Park, Maryland 074, USA ABSTRACT

More information

Traffic State Estimation in the Traffic Management Center of Berlin

Traffic State Estimation in the Traffic Management Center of Berlin Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D-763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,

More information

Statistical Methods to Develop Rating Models

Statistical Methods to Develop Rating Models Statstcal Methods to Develop Ratng Models [Evelyn Hayden and Danel Porath, Österrechsche Natonalbank and Unversty of Appled Scences at Manz] Source: The Basel II Rsk Parameters Estmaton, Valdaton, and

More information

RELIABILITY, RISK AND AVAILABILITY ANLYSIS OF A CONTAINER GANTRY CRANE ABSTRACT

RELIABILITY, RISK AND AVAILABILITY ANLYSIS OF A CONTAINER GANTRY CRANE ABSTRACT Kolowrock Krzysztof Joanna oszynska MODELLING ENVIRONMENT AND INFRATRUCTURE INFLUENCE ON RELIABILITY AND OPERATION RT&A # () (Vol.) March RELIABILITY RIK AND AVAILABILITY ANLYI OF A CONTAINER GANTRY CRANE

More information

STANDING WAVE TUBE TECHNIQUES FOR MEASURING THE NORMAL INCIDENCE ABSORPTION COEFFICIENT: COMPARISON OF DIFFERENT EXPERIMENTAL SETUPS.

STANDING WAVE TUBE TECHNIQUES FOR MEASURING THE NORMAL INCIDENCE ABSORPTION COEFFICIENT: COMPARISON OF DIFFERENT EXPERIMENTAL SETUPS. STADIG WAVE TUBE TECHIQUES FOR MEASURIG THE ORMAL ICIDECE ABSORPTIO COEFFICIET: COMPARISO OF DIFFERET EXPERIMETAL SETUPS. Angelo Farna (*), Patrzo Faust (**) (*) Dpart. d Ing. Industrale, Unverstà d Parma,

More information

TECHNICAL NOTES 4 VIBRATING SCREENS

TECHNICAL NOTES 4 VIBRATING SCREENS TECHNICAL NOTES 4 VIBRATING SCREENS Copyrght R P Kng 2000 SIZE CLASSIFICATION It s always necessary to control the sze characterstcs of partculate materal that s fed to process equpment that separates

More information

Parallelization of a 3-D SPH code for massive HPC simulations

Parallelization of a 3-D SPH code for massive HPC simulations Parallelzaton of a 3-D SPH code for massve HPC smulatons G. Oger a, D. Gubert b, M. de Leffe b, J.-G. Pccnal c a. LHEEA Ecole Centrale de Nantes b. Hydrocean c. CSCS-Swss Natonal Supercomputng Centre Résumé

More information

NUMERICAL HYDRO- MORPHODINAMIC 2DH MODEL FOR THE SHALLOW WATERS

NUMERICAL HYDRO- MORPHODINAMIC 2DH MODEL FOR THE SHALLOW WATERS Unverstà Poltecnca delle Marche Dpartmento d Idraulca Strade Ambente e Chmca Scuola d Dottorato d Rcerca n Scenze dell Ingegnera Currculum n Ingegnera de Materal delle Acque e de Terren ----------------------------------------------------------------------------------------

More information

Efficient Striping Techniques for Variable Bit Rate Continuous Media File Servers æ

Efficient Striping Techniques for Variable Bit Rate Continuous Media File Servers æ Effcent Strpng Technques for Varable Bt Rate Contnuous Meda Fle Servers æ Prashant J. Shenoy Harrck M. Vn Department of Computer Scence, Department of Computer Scences, Unversty of Massachusetts at Amherst

More information

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo

More information

We are now ready to answer the question: What are the possible cardinalities for finite fields?

We are now ready to answer the question: What are the possible cardinalities for finite fields? Chapter 3 Fnte felds We have seen, n the prevous chapters, some examples of fnte felds. For example, the resdue class rng Z/pZ (when p s a prme) forms a feld wth p elements whch may be dentfed wth the

More information

Cloud-based Social Application Deployment using Local Processing and Global Distribution

Cloud-based Social Application Deployment using Local Processing and Global Distribution Cloud-based Socal Applcaton Deployment usng Local Processng and Global Dstrbuton Zh Wang *, Baochun L, Lfeng Sun *, and Shqang Yang * * Bejng Key Laboratory of Networked Multmeda Department of Computer

More information

Realistic Image Synthesis

Realistic Image Synthesis Realstc Image Synthess - Combned Samplng and Path Tracng - Phlpp Slusallek Karol Myszkowsk Vncent Pegoraro Overvew: Today Combned Samplng (Multple Importance Samplng) Renderng and Measurng Equaton Random

More information

Parallel Numerical Simulation of Visual Neurons for Analysis of Optical Illusion

Parallel Numerical Simulation of Visual Neurons for Analysis of Optical Illusion 212 Thrd Internatonal Conference on Networkng and Computng Parallel Numercal Smulaton of Vsual Neurons for Analyss of Optcal Illuson Akra Egashra, Shunj Satoh, Hdetsugu Ire and Tsutomu Yoshnaga Graduate

More information

Fault tolerance in cloud technologies presented as a service

Fault tolerance in cloud technologies presented as a service Internatonal Scentfc Conference Computer Scence 2015 Pavel Dzhunev, PhD student Fault tolerance n cloud technologes presented as a servce INTRODUCTION Improvements n technques for vrtualzaton and performance

More information

Enterprise Master Patient Index

Enterprise Master Patient Index Enterprse Master Patent Index Healthcare data are captured n many dfferent settngs such as hosptals, clncs, labs, and physcan offces. Accordng to a report by the CDC, patents n the Unted States made an

More information

Period and Deadline Selection for Schedulability in Real-Time Systems

Period and Deadline Selection for Schedulability in Real-Time Systems Perod and Deadlne Selecton for Schedulablty n Real-Tme Systems Thdapat Chantem, Xaofeng Wang, M.D. Lemmon, and X. Sharon Hu Department of Computer Scence and Engneerng, Department of Electrcal Engneerng

More information

Formulating & Solving Integer Problems Chapter 11 289

Formulating & Solving Integer Problems Chapter 11 289 Formulatng & Solvng Integer Problems Chapter 11 289 The Optonal Stop TSP If we drop the requrement that every stop must be vsted, we then get the optonal stop TSP. Ths mght correspond to a ob sequencng

More information

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits Lnear Crcuts Analyss. Superposton, Theenn /Norton Equalent crcuts So far we hae explored tmendependent (resste) elements that are also lnear. A tmendependent elements s one for whch we can plot an / cure.

More information

Portfolio Loss Distribution

Portfolio Loss Distribution Portfolo Loss Dstrbuton Rsky assets n loan ortfolo hghly llqud assets hold-to-maturty n the bank s balance sheet Outstandngs The orton of the bank asset that has already been extended to borrowers. Commtment

More information

BERNSTEIN POLYNOMIALS

BERNSTEIN POLYNOMIALS On-Lne Geometrc Modelng Notes BERNSTEIN POLYNOMIALS Kenneth I. Joy Vsualzaton and Graphcs Research Group Department of Computer Scence Unversty of Calforna, Davs Overvew Polynomals are ncredbly useful

More information

Final Draft of the original manuscript:

Final Draft of the original manuscript: Fnal Draft of the orgnal manuscrpt: Hegadekatte, V.; Kurzenhaeser, S.; Huber, N.; Kraft, O.: A predctve modelng scheme for wear n pn-on-dsc and twn-dsc trbometers In: Trbology Internatonal (2008) Elsever

More information

A DATA MINING APPLICATION IN A STUDENT DATABASE

A DATA MINING APPLICATION IN A STUDENT DATABASE JOURNAL OF AERONAUTICS AND SPACE TECHNOLOGIES JULY 005 VOLUME NUMBER (53-57) A DATA MINING APPLICATION IN A STUDENT DATABASE Şenol Zafer ERDOĞAN Maltepe Ünversty Faculty of Engneerng Büyükbakkalköy-Istanbul

More information

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW.

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. Lucía Isabel García Cebrán Departamento de Economía y Dreccón de Empresas Unversdad de Zaragoza Gran Vía, 2 50.005 Zaragoza (Span) Phone: 976-76-10-00

More information

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT Toshhko Oda (1), Kochro Iwaoka (2) (1), (2) Infrastructure Systems Busness Unt, Panasonc System Networks Co., Ltd. Saedo-cho

More information

How To Analyze The Flow Patterns Of A Fracture Network

How To Analyze The Flow Patterns Of A Fracture Network Flud Flow Complexty n Fracture Networks: Analyss wth Graph Theory and LBM Ghaffar, H.O. Department of Cvl Engneerng and Lassonde Insttute, Unversty of Toronto, Toronto, Canada Nasser, M.H.B. Department

More information

Section 2 Introduction to Statistical Mechanics

Section 2 Introduction to Statistical Mechanics Secton 2 Introducton to Statstcal Mechancs 2.1 Introducng entropy 2.1.1 Boltzmann s formula A very mportant thermodynamc concept s that of entropy S. Entropy s a functon of state, lke the nternal energy.

More information

- 573 A Possible Detector for the Study of Weak Interactions at Fermi Clash R. Singer Argonne National Laboratory

- 573 A Possible Detector for the Study of Weak Interactions at Fermi Clash R. Singer Argonne National Laboratory - 573 A Possble Detector for the Study of Weak nteractons at Ferm Clash R. Snger Argonne Natonal Laboratory The purpose of ths paper s to pont out what weak nteracton phenomena may exst for center-of-mass

More information

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña Proceedngs of the 2008 Wnter Smulaton Conference S. J. Mason, R. R. Hll, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler eds. A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION

More information

Modelling of Hot Water Flooding

Modelling of Hot Water Flooding Unversty of Readng Modellng of Hot Water Floodng as an Enhanced Ol Recovery Method by Zenab Zargar August 013 Department of Mathematcs Submtted to the Department of Mathematcs, Unversty of Readng, n Partal

More information

Basic Equations of Fluid Dynamics

Basic Equations of Fluid Dynamics Basc Equatons of Flud Dynamcs Sergey Pankratov A lecture to the Practcal Course Scentfc Computng and Vsualzaton (June 17, 2004) Sergey Pankratov, TU München 1 Focus areas Euler and Lagrange descrptons

More information

A Replication-Based and Fault Tolerant Allocation Algorithm for Cloud Computing

A Replication-Based and Fault Tolerant Allocation Algorithm for Cloud Computing A Replcaton-Based and Fault Tolerant Allocaton Algorthm for Cloud Computng Tork Altameem Dept of Computer Scence, RCC, Kng Saud Unversty, PO Box: 28095 11437 Ryadh-Saud Araba Abstract The very large nfrastructure

More information

POLYSA: A Polynomial Algorithm for Non-binary Constraint Satisfaction Problems with and

POLYSA: A Polynomial Algorithm for Non-binary Constraint Satisfaction Problems with and POLYSA: A Polynomal Algorthm for Non-bnary Constrant Satsfacton Problems wth and Mguel A. Saldo, Federco Barber Dpto. Sstemas Informátcos y Computacón Unversdad Poltécnca de Valenca, Camno de Vera s/n

More information

Form-finding of grid shells with continuous elastic rods

Form-finding of grid shells with continuous elastic rods Page of 0 Form-fndng of grd shells wth contnuous elastc rods Jan-Mn L PhD student Insttute of Buldng Structures and Structural Desgn (tke), Unversty Stuttgart Stuttgar, Germany quantumamn@gmal.com Jan

More information

How To Solve An Onlne Control Polcy On A Vrtualzed Data Center

How To Solve An Onlne Control Polcy On A Vrtualzed Data Center Dynamc Resource Allocaton and Power Management n Vrtualzed Data Centers Rahul Urgaonkar, Ulas C. Kozat, Ken Igarash, Mchael J. Neely urgaonka@usc.edu, {kozat, garash}@docomolabs-usa.com, mjneely@usc.edu

More information

914 IEEE TRANSACTIONS ON ROBOTICS, VOL. 26, NO. 5, OCTOBER 2010

914 IEEE TRANSACTIONS ON ROBOTICS, VOL. 26, NO. 5, OCTOBER 2010 914 IEEE TRANSACTIONS ON ROBOTICS, VOL. 26, NO. 5, OCTOBER 2010 Modelng of Transmsson Characterstcs Across a Cable-Condut System Varun Agrawal, Student Member, IEEE, Wllam J. Pene, Member, IEEE, andbnyao,

More information

Self-Consistent Proteomic Field Theory of Stochastic Gene Switches

Self-Consistent Proteomic Field Theory of Stochastic Gene Switches 88 Bophyscal Journal Volume 88 February 005 88 850 Self-Consstent Proteomc Feld Theory of Stochastc Gene Swtches Aleksandra M. Walczak,* Masak Sasa, y and Peter G. Wolynes* z *Department of Physcs, Center

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

Effect of a spectrum of relaxation times on the capillary thinning of a filament of elastic liquid

Effect of a spectrum of relaxation times on the capillary thinning of a filament of elastic liquid J. Non-Newtonan Flud Mech., 72 (1997) 31 53 Effect of a spectrum of relaxaton tmes on the capllary thnnng of a flament of elastc lqud V.M. Entov a, E.J. Hnch b, * a Laboratory of Appled Contnuum Mechancs,

More information

Numerical Analysis of the Natural Gas Combustion Products

Numerical Analysis of the Natural Gas Combustion Products Energy and Power Engneerng, 2012, 4, 353-357 http://dxdoorg/104236/epe201245046 Publshed Onlne September 2012 (http://wwwscrporg/journal/epe) Numercal Analyss of the Natural Gas Combuston Products Fernando

More information

Detecting Global Motion Patterns in Complex Videos

Detecting Global Motion Patterns in Complex Videos Detectng Global Moton Patterns n Complex Vdeos Mn Hu, Saad Al, Mubarak Shah Computer Vson Lab, Unversty of Central Florda {mhu,sal,shah}@eecs.ucf.edu Abstract Learnng domnant moton patterns or actvtes

More information

Analysis of Reactivity Induced Accident for Control Rods Ejection with Loss of Cooling

Analysis of Reactivity Induced Accident for Control Rods Ejection with Loss of Cooling Analyss of Reactvty Induced Accdent for Control Rods Ejecton wth Loss of Coolng Hend Mohammed El Sayed Saad 1, Hesham Mohammed Mohammed Mansour 2 Wahab 1 1. Nuclear and Radologcal Regulatory Authorty,

More information