Airflow and Contaminant Simulation with CONTAM

Size: px
Start display at page:

Download "Airflow and Contaminant Simulation with CONTAM"

Transcription

1 Arflow and Contamnant Smulaton wth CONTAM George Walton, NIST CHAMPS Developers Workshop Syracuse Unversty June 19, 2006

2 Network Analogy Electrc Ppe, Duct & Ar Wre Ppe, Duct, or Openng Juncton Juncton or Room Battery Pump or Fan Voltage, V Pressure, P Current, I Mass flow, F

3 Network Analogy

4 Network Soluton (steady state) I by conservaton at each juncton, j I j, = 0 or wth j F j = 0, = V / R ( ) j, j, j or F = C P n j, j j, Solve smultaneous equatons for all V or P

5 Solve Smultaneous Non-lnear Equatons by Newton-Raphson teraton Relable soluton Atken s method (1982) under-relaxaton (1992) trust regon (1997) Speed for large networks skylne (or profle) (1987) equaton reorderng (1997) conjugate gradent (1997)

6 Transent Conservaton of Mass t m F F j j = +, m = mass of ar n zone ( ) t t t m R T PV t t m 1 deal gas: mrt PV =

7 Bernoull's Equaton Flow along a streamlne (wthn each arflow path) s governed by Bernoull's equaton: 2 2 ρ u 1 ρ u2 P = P ρ g z1 P2 + + ρ g z2 2 2 where P = total pressure drop between ponts 1 and 2 P 1, P 2 = entry and ext statc pressures u 1, u 2 = entry and ext veloctes ρ = ar densty g = acceleraton of gravty (9.81 m/s 2 ) z 1, z 2 = entry and ext elevatons.

8 Lmtatons We assume quescent zones Infltraton Sgnfcant flow veloctes wll mpact: * Resstance to flow n the zone * Flow coeffcent vares wth geometry * Momentum effects * Wnd pressure Pressure losses at duct junctons * Loss coeffcent C vares wth flow * Momentum negatve loss terms

9 User Interface Essental for: Complex Problems General Use

10 From Network Analogy to Interface

11 Draw Walls, Defne Zones

12 Add Flow Paths

13 Add a Duct

14 From Network Analogy to Interface

15 Case Study (~1997)

16

17 Bgger and More Complex Buldngs

18 Contamnants The transent conservaton of speces mass n a control volume s: (mass of speces α n c.v. at tme t+ t ) = (mass speces α n c.v. at tme t ) + t (rate of speces α gan rate of speces α loss) t t j j j j j j t t t C R C F C m G C F t VC VC δ α α α β β α β α α α α α κ η ρ ρ , ) (1 All contamnant concentratons can be determned by solvng a set of smultaneous lnear equatons.

19 Contamnant Smulaton Test Case

20 Contamnant Test Case Results Scheduled steady source Flow rate = 1/2 ACH per zone Tme step = 15 mn.

21 Contamnant Test Case Results Scheduled burst source Flow rate = 1/2 ACH per zone Tme step = 15 mn.

22 Lmtatons Works well f tme step > mxng tme of the zone. Tradtonal ar dffuson systems desgned to mx the ar, but mxng tme s on the order of several mnutes. * Transent contamnant convecton s poorly modeled. * Even systems desgned to mx sometmes don t. Many contamnant modelng features could be added. * Detaled flter model * Adsorpton desorpton models * Complex chemcal reactons * Aerosols

23 Fast Flow Through Zone & Duct Flow = 0.2 m^3/s; Volume = 20 m^3; 36 ACH

24 1-D Flow Through Zone & Duct Velocty = 0.2 m/s; Length = 20 m

25 Notes on above sldes Mxed case: duct dvded nto two nodes 1-D smulaton: Zone by Euleran method (Patankar hybrd) Duct by Lagrangan method Good convecton 100 s transt tme Questonable dffuson coeffcents Zones requre some geometry data Implct soluton not practcal

26 Explct Soluton for Contamnants Addng cells to each zone to model convecton would greatly ncrease the number of equatons. However, the need for a good model of convecton also requres a short tme step. If the tme step s suffcently short, concentratons can be determned by an explct numercal method: NO smultaneous equatons. Stable f t < zone ar exchange tme

27 Short Tme Step (STS) Smulaton Sequence Determne boundary condtons Determne control sgnals Both of above can be set va sockets Compute arflows Compute zone concentratons Compute juncton concentratons

28 Sequental Soluton n a Duct Network Duct junctons would lkely be unstable but can be solved explctly n order.

29 Processng Control Sgnals The sequence of computaton (from known to unknown values) s determned by the drecton of the lnks. Each control node ncludes ponters to the calculaton functon and parameters, ponters to the nput values, and the computed result. The nput ponters are set at program start-up. No data s transferred durng processng.

30 CONTROLS Fan, damper, openngs, controlled by temperature, pressure, concentraton

31

32 END

MATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018

MATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018 MATH 5630: Dscrete Tme-Space Model Hung Phan, UMass Lowell March, 08 Newton s Law of Coolng Consder the coolng of a well strred coffee so that the temperature does not depend on space Newton s law of collng

More information

EN40: Dynamics and Vibrations. Homework 4: Work, Energy and Linear Momentum Due Friday March 1 st

EN40: Dynamics and Vibrations. Homework 4: Work, Energy and Linear Momentum Due Friday March 1 st EN40: Dynamcs and bratons Homework 4: Work, Energy and Lnear Momentum Due Frday March 1 st School of Engneerng Brown Unversty 1. The fgure (from ths publcaton) shows the energy per unt area requred to

More information

Interconnect Modeling

Interconnect Modeling Interconnect Modelng Modelng of Interconnects Interconnect R, C and computaton Interconnect models umped RC model Dstrbuted crcut models Hgher-order waveform n dstrbuted RC trees Accuracy and fdelty Prepared

More information

Tracking with Kalman Filter

Tracking with Kalman Filter Trackng wth Kalman Flter Scott T. Acton Vrgna Image and Vdeo Analyss (VIVA), Charles L. Brown Department of Electrcal and Computer Engneerng Department of Bomedcal Engneerng Unversty of Vrgna, Charlottesvlle,

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

9.2 Seismic Loads Using ASCE Standard 7-93

9.2 Seismic Loads Using ASCE Standard 7-93 CHAPER 9: Wnd and Sesmc Loads on Buldngs 9.2 Sesmc Loads Usng ASCE Standard 7-93 Descrpton A major porton of the Unted States s beleved to be subject to sesmc actvty suffcent to cause sgnfcant structural

More information

ESA modelling and cycle design

ESA modelling and cycle design ESA modellng and cycle desgn WP and WP 5 Unversty of Belgrade MATESA Dssemnaton day, Oslo 16.6.016 Motvaton Develop rgorous 3D models (CFD) to understand the processes, examne the nfluence of condtons

More information

Mass Transfer Processes

Mass Transfer Processes Mass Transfer Processes S. Majd Hassanzadeh Department of Earth Scences Faculty of Geoscences Utrecht Unversty Outlne: 1. Measures of Concentraton 2. Volatlzaton and Dssoluton 3. Adsorpton Processes 4.

More information

Thermodynamics General

Thermodynamics General Thermodynamcs General Lecture 1 Lecture 1 s devoted to establshng buldng blocks for dscussng thermodynamcs. In addton, the equaton of state wll be establshed. I. Buldng blocks for thermodynamcs A. Dmensons,

More information

GeoSteamNet: 2. STEAM FLOW SIMULATION IN A PIPELINE

GeoSteamNet: 2. STEAM FLOW SIMULATION IN A PIPELINE PROCEEDINGS, Thrty-Ffth Workshop on Geothermal Reservor Engneerng Stanford Unversty, Stanford, Calforna, February 1-3, 010 SGP-TR-188 GeoSteamNet:. STEAM FLOW SIMULATION IN A PIPELINE Mahendra P. Verma

More information

Electrical Circuits 2.1 INTRODUCTION CHAPTER

Electrical Circuits 2.1 INTRODUCTION CHAPTER CHAPTE Electrcal Crcuts. INTODUCTION In ths chapter, we brefly revew the three types of basc passve electrcal elements: resstor, nductor and capactor. esstance Elements: Ohm s Law: The voltage drop across

More information

1.4 Small-signal models of BJT

1.4 Small-signal models of BJT 1.4 Small-sgnal models of J Analog crcuts often operate wth sgnal levels that are small compared to the bas currents and voltages n the crcut. Under ths condton, ncremental or small-sgnal models can be

More information

ChE 512: Topic 1 Reactions at a fluid non-porous solid interface. P.A. Ramachandran

ChE 512: Topic 1 Reactions at a fluid non-porous solid interface. P.A. Ramachandran he 512: Topc 1 Reactons at a flud non-porous sold nterface P.. Ramachandran rama@wustl.edu OUTLIE External Transport: Flm oncept Mass transfer coeffcents Effect of transport on reacton multaneous heat

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

CHEMICAL ENGINEERING

CHEMICAL ENGINEERING Postal Correspondence GATE & PSUs -MT To Buy Postal Correspondence Packages call at 0-9990657855 1 TABLE OF CONTENT S. No. Ttle Page no. 1. Introducton 3 2. Dffuson 10 3. Dryng and Humdfcaton 24 4. Absorpton

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluton to the Heat Equaton ME 448/548 Notes Gerald Recktenwald Portland State Unversty Department of Mechancal Engneerng gerry@pdx.edu ME 448/548: FTCS Soluton to the Heat Equaton Overvew 1. Use

More information

CHAPTER 7 ENERGY BALANCES SYSTEM SYSTEM. * What is energy? * Forms of Energy. - Kinetic energy (KE) - Potential energy (PE) PE = mgz

CHAPTER 7 ENERGY BALANCES SYSTEM SYSTEM. * What is energy? * Forms of Energy. - Kinetic energy (KE) - Potential energy (PE) PE = mgz SYSTM CHAPTR 7 NRGY BALANCS 1 7.1-7. SYSTM nergy & 1st Law of Thermodynamcs * What s energy? * Forms of nergy - Knetc energy (K) K 1 mv - Potental energy (P) P mgz - Internal energy (U) * Total nergy,

More information

Computer-Aided Circuit Simulation and Verification. CSE245 Fall 2004 Professor:Chung-Kuan Cheng

Computer-Aided Circuit Simulation and Verification. CSE245 Fall 2004 Professor:Chung-Kuan Cheng Computer-Aded Crcut Smulaton and Verfcaton CSE245 Fall 24 Professor:Chung-Kuan Cheng Admnstraton Lectures: 5:pm ~ 6:2pm TTH HSS 252 Offce Hours: 4:pm ~ 4:45pm TTH APM 4256 Textbook Electronc Crcut and

More information

Application of the Adjoint Method for Vehicle Aerodynamic Optimization. Dr. Thomas Blacha, Audi AG

Application of the Adjoint Method for Vehicle Aerodynamic Optimization. Dr. Thomas Blacha, Audi AG Applcaton of the Adjont Method for Vehcle Aerodynamc Optmzaton Dr. Thomas Blacha, Aud AG GoFun, Braunschweg 22.3.2017 2 AUDI AG, Dr. Thomas Blacha, Applcaton of the Adjont Method for Vehcle Aerodynamc

More information

Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850)

Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850) hermal-fluds I Chapter 18 ransent heat conducton Dr. Prmal Fernando prmal@eng.fsu.edu Ph: (850) 410-6323 1 ransent heat conducton In general, he temperature of a body vares wth tme as well as poston. In

More information

Physics 4B. A positive value is obtained, so the current is counterclockwise around the circuit.

Physics 4B. A positive value is obtained, so the current is counterclockwise around the circuit. Physcs 4B Solutons to Chapter 7 HW Chapter 7: Questons:, 8, 0 Problems:,,, 45, 48,,, 7, 9 Queston 7- (a) no (b) yes (c) all te Queston 7-8 0 μc Queston 7-0, c;, a;, d; 4, b Problem 7- (a) Let be the current

More information

Lecture 12. Modeling of Turbulent Combustion

Lecture 12. Modeling of Turbulent Combustion Lecture 12. Modelng of Turbulent Combuston X.S. Ba Modelng of TC Content drect numercal smulaton (DNS) Statstcal approach (RANS) Modelng of turbulent non-premxed flames Modelng of turbulent premxed flames

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

Basic concept of reactive flows. Basic concept of reactive flows Combustion Mixing and reaction in high viscous fluid Application of Chaos

Basic concept of reactive flows. Basic concept of reactive flows Combustion Mixing and reaction in high viscous fluid Application of Chaos Introducton to Toshhsa Ueda School of Scence for Open and Envronmental Systems Keo Unversty, Japan Combuston Mxng and reacton n hgh vscous flud Applcaton of Chaos Keo Unversty 1 Keo Unversty 2 What s reactve

More information

MAE140 - Linear Circuits - Winter 16 Final, March 16, 2016

MAE140 - Linear Circuits - Winter 16 Final, March 16, 2016 ME140 - Lnear rcuts - Wnter 16 Fnal, March 16, 2016 Instructons () The exam s open book. You may use your class notes and textbook. You may use a hand calculator wth no communcaton capabltes. () You have

More information

Lecture 5.8 Flux Vector Splitting

Lecture 5.8 Flux Vector Splitting Lecture 5.8 Flux Vector Splttng 1 Flux Vector Splttng The vector E n (5.7.) can be rewrtten as E = AU (5.8.1) (wth A as gven n (5.7.4) or (5.7.6) ) whenever, the equaton of state s of the separable form

More information

Turbulent Transport in Single-Phase Flow. Peter Bernard, University of Maryland

Turbulent Transport in Single-Phase Flow. Peter Bernard, University of Maryland Turbulent Transport n Sngle-Phase Flow Peter Bernard, Unversty of Maryland Assume that our goal s to compute mean flow statstcs such as U and One can ether: 1 u where U Pursue DNS (.e. the "honest" approach)

More information

A Computational Viewpoint on Classical Density Functional Theory

A Computational Viewpoint on Classical Density Functional Theory A Computatonal Vewpont on Classcal Densty Functonal Theory Matthew Knepley and Drk Gllespe Computaton Insttute Unversty of Chcago Department of Molecular Bology and Physology Rush Unversty Medcal Center

More information

Diffusion Mass Transfer

Diffusion Mass Transfer Dffuson Mass Transfer General onsderatons Mass transfer refers to mass n transt due to a speces concentraton gradent n a mture. Must have a mture of two or more speces for mass transfer to occur. The speces

More information

HYBRID LBM-FVM AND LBM-MCM METHODS FOR FLUID FLOW AND HEAT TRANSFER SIMULATION

HYBRID LBM-FVM AND LBM-MCM METHODS FOR FLUID FLOW AND HEAT TRANSFER SIMULATION HYBRID LBM-FVM AND LBM-MCM METHODS FOR FLUID FLOW AND HEAT TRANSFER SIMULATION Zheng L a,b, Mo Yang b and Yuwen Zhang a* a Department of Mechancal and Aerospace Engneerng, Unversty of Mssour, Columba,

More information

Ph.D. Qualifying Examination in Kinetics and Reactor Design

Ph.D. Qualifying Examination in Kinetics and Reactor Design Knetcs and Reactor Desgn Ph.D.Qualfyng Examnaton January 2006 Instructons Ph.D. Qualfyng Examnaton n Knetcs and Reactor Desgn January 2006 Unversty of Texas at Austn Department of Chemcal Engneerng 1.

More information

DO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED.

DO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED. EE 539 Homeworks Sprng 08 Updated: Tuesday, Aprl 7, 08 DO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED. For full credt, show all work. Some problems requre hand calculatons.

More information

Electrochemistry Thermodynamics

Electrochemistry Thermodynamics CHEM 51 Analytcal Electrochemstry Chapter Oct 5, 016 Electrochemstry Thermodynamcs Bo Zhang Department of Chemstry Unversty of Washngton Seattle, WA 98195 Former SEAC presdent Andy Ewng sellng T-shrts

More information

Development of Numerical Simulation Capabilities for In Situ Heating of Oil Shale

Development of Numerical Simulation Capabilities for In Situ Heating of Oil Shale Development of Numercal Smulaton Capabltes for In Stu Heatng of Ol Shale Sharad Kelkar, Rajesh Pawar Los Alamos Natonal Laboratory Nazsh Hoda, Chen Fang ExxonMobl Upstream Research Company Presented at

More information

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity 1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum

More information

Problem adapted reduced models based on Reaction-Diffusion Manifolds (REDIMs)

Problem adapted reduced models based on Reaction-Diffusion Manifolds (REDIMs) Problem adapted reduced models based on Reacton-Dffuson Manfolds (REDIMs) V Bykov, U Maas Thrty-Second Internatonal Symposum on ombuston, Montreal, anada, 3-8 August, 8 Problem Statement: Smulaton of reactng

More information

ELE B7 Power Systems Engineering. Power Flow- Introduction

ELE B7 Power Systems Engineering. Power Flow- Introduction ELE B7 Power Systems Engneerng Power Flow- Introducton Introducton to Load Flow Analyss The power flow s the backbone of the power system operaton, analyss and desgn. It s necessary for plannng, operaton,

More information

2010 Black Engineering Building, Department of Mechanical Engineering. Iowa State University, Ames, IA, 50011

2010 Black Engineering Building, Department of Mechanical Engineering. Iowa State University, Ames, IA, 50011 Interface Energy Couplng between -tungsten Nanoflm and Few-layered Graphene Meng Han a, Pengyu Yuan a, Jng Lu a, Shuyao S b, Xaolong Zhao b, Yanan Yue c, Xnwe Wang a,*, Xangheng Xao b,* a 2010 Black Engneerng

More information

Physics 141. Lecture 14. Frank L. H. Wolfs Department of Physics and Astronomy, University of Rochester, Lecture 14, Page 1

Physics 141. Lecture 14. Frank L. H. Wolfs Department of Physics and Astronomy, University of Rochester, Lecture 14, Page 1 Physcs 141. Lecture 14. Frank L. H. Wolfs Department of Physcs and Astronomy, Unversty of Rochester, Lecture 14, Page 1 Physcs 141. Lecture 14. Course Informaton: Lab report # 3. Exam # 2. Mult-Partcle

More information

Numerical Transient Heat Conduction Experiment

Numerical Transient Heat Conduction Experiment Numercal ransent Heat Conducton Experment OBJECIVE 1. o demonstrate the basc prncples of conducton heat transfer.. o show how the thermal conductvty of a sold can be measured. 3. o demonstrate the use

More information

Principles of Food and Bioprocess Engineering (FS 231) Solutions to Example Problems on Heat Transfer

Principles of Food and Bioprocess Engineering (FS 231) Solutions to Example Problems on Heat Transfer Prncples of Food and Boprocess Engneerng (FS 31) Solutons to Example Problems on Heat Transfer 1. We start wth Fourer s law of heat conducton: Q = k A ( T/ x) Rearrangng, we get: Q/A = k ( T/ x) Here,

More information

Lecture #06 Hotwire anemometry: Fundamentals and instrumentation

Lecture #06 Hotwire anemometry: Fundamentals and instrumentation AerE 344 Lecture otes Lecture #06 Hotwre anemometry: Fundamentals and nstrumentaton Dr. Hu Hu Department of Aerospace Engneerng Iowa State Unversty Ames, Iowa 500, U.S.A Thermal anemometers: Techncal Fundamentals

More information

DC Circuits. Crossing the emf in this direction +ΔV

DC Circuits. Crossing the emf in this direction +ΔV DC Crcuts Delverng a steady flow of electrc charge to a crcut requres an emf devce such as a battery, solar cell or electrc generator for example. mf stands for electromotve force, but an emf devce transforms

More information

( ) = ( ) + ( 0) ) ( )

( ) = ( ) + ( 0) ) ( ) EETOMAGNETI OMPATIBIITY HANDBOOK 1 hapter 9: Transent Behavor n the Tme Doman 9.1 Desgn a crcut usng reasonable values for the components that s capable of provdng a tme delay of 100 ms to a dgtal sgnal.

More information

Amplification and Relaxation of Electron Spin Polarization in Semiconductor Devices

Amplification and Relaxation of Electron Spin Polarization in Semiconductor Devices Amplfcaton and Relaxaton of Electron Spn Polarzaton n Semconductor Devces Yury V. Pershn and Vladmr Prvman Center for Quantum Devce Technology, Clarkson Unversty, Potsdam, New York 13699-570, USA Spn Relaxaton

More information

Lab session: numerical simulations of sponateous polarization

Lab session: numerical simulations of sponateous polarization Lab sesson: numercal smulatons of sponateous polarzaton Emerc Boun & Vncent Calvez CNRS, ENS Lyon, France CIMPA, Hammamet, March 2012 Spontaneous cell polarzaton: the 1D case The Hawkns-Voturez model for

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

More information

and Statistical Mechanics Material Properties

and Statistical Mechanics Material Properties Statstcal Mechancs and Materal Propertes By Kuno TAKAHASHI Tokyo Insttute of Technology, Tokyo 15-855, JAPA Phone/Fax +81-3-5734-3915 takahak@de.ttech.ac.jp http://www.de.ttech.ac.jp/~kt-lab/ Only for

More information

Tensor Smooth Length for SPH Modelling of High Speed Impact

Tensor Smooth Length for SPH Modelling of High Speed Impact Tensor Smooth Length for SPH Modellng of Hgh Speed Impact Roman Cherepanov and Alexander Gerasmov Insttute of Appled mathematcs and mechancs, Tomsk State Unversty 634050, Lenna av. 36, Tomsk, Russa RCherepanov82@gmal.com,Ger@npmm.tsu.ru

More information

TIME OF COMPLETION NAME SOLUTION DEPARTMENT OF NATURAL SCIENCES. PHYS 2211, Exam 2 Section 1 Version 1 October 18, 2013 Total Weight: 100 points

TIME OF COMPLETION NAME SOLUTION DEPARTMENT OF NATURAL SCIENCES. PHYS 2211, Exam 2 Section 1 Version 1 October 18, 2013 Total Weight: 100 points TIME OF COMPLETION NAME SOLUTION DEPARTMENT OF NATURAL SCIENCES PHYS, Exam Secton Verson October 8, 03 Total Weght: 00 ponts. Check your examnaton or completeness pror to startng. There are a total o nne

More information

Electrostatic Potential from Transmembrane Currents

Electrostatic Potential from Transmembrane Currents Electrostatc Potental from Transmembrane Currents Let s assume that the current densty j(r, t) s ohmc;.e., lnearly proportonal to the electrc feld E(r, t): j = σ c (r)e (1) wth conductvty σ c = σ c (r).

More information

CHEM 112 Exam 3 Practice Test Solutions

CHEM 112 Exam 3 Practice Test Solutions CHEM 11 Exam 3 Practce Test Solutons 1A No matter what temperature the reacton takes place, the product of [OH-] x [H+] wll always equal the value of w. Therefore, f you take the square root of the gven

More information

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient 58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),

More information

coordinates. Then, the position vectors are described by

coordinates. Then, the position vectors are described by Revewng, what we have dscussed so far: Generalzed coordnates Any number of varables (say, n) suffcent to specfy the confguraton of the system at each nstant to tme (need not be the mnmum number). In general,

More information

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,

More information

2 Finite difference basics

2 Finite difference basics Numersche Methoden 1, WS 11/12 B.J.P. Kaus 2 Fnte dfference bascs Consder the one- The bascs of the fnte dfference method are best understood wth an example. dmensonal transent heat conducton equaton T

More information

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton

More information

Lecture 21: Numerical methods for pricing American type derivatives

Lecture 21: Numerical methods for pricing American type derivatives Lecture 21: Numercal methods for prcng Amercan type dervatves Xaoguang Wang STAT 598W Aprl 10th, 2014 (STAT 598W) Lecture 21 1 / 26 Outlne 1 Fnte Dfference Method Explct Method Penalty Method (STAT 598W)

More information

Implicit Integration Henyey Method

Implicit Integration Henyey Method Implct Integraton Henyey Method In realstc stellar evoluton codes nstead of a drect ntegraton usng for example the Runge-Kutta method one employs an teratve mplct technque. Ths s because the structure

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

Turbulent Flow. Turbulent Flow

Turbulent Flow. Turbulent Flow http://www.youtube.com/watch?v=xoll2kedog&feature=related http://br.youtube.com/watch?v=7kkftgx2any http://br.youtube.com/watch?v=vqhxihpvcvu 1. Caothc fluctuatons wth a wde range of frequences and

More information

55:141 Advanced Circuit Techniques Two-Port Theory

55:141 Advanced Circuit Techniques Two-Port Theory 55:4 Adanced Crcut Technques Two-Port Theory Materal: Lecture Notes A. Kruger 55:4: Adanced Crcut Technques The Unersty of Iowa, 205 Two-Port Theory, Slde Two-Port Networks Note, the BJT s all are hghly

More information

Formal solvers of the RT equation

Formal solvers of the RT equation Formal solvers of the RT equaton Formal RT solvers Runge- Kutta (reference solver) Pskunov N.: 979, Master Thess Long characterstcs (Feautrer scheme) Cannon C.J.: 970, ApJ 6, 55 Short characterstcs (Hermtan

More information

Solution of the Navier-Stokes Equations

Solution of the Navier-Stokes Equations Numercal Flud Mechancs Fall 2011 Lecture 25 REVIEW Lecture 24: Soluton of the Naver-Stokes Equatons Dscretzaton of the convectve and vscous terms Dscretzaton of the pressure term Conservaton prncples Momentum

More information

Macroscopic Momentum Balances

Macroscopic Momentum Balances Lecture 13 F. Morrson CM3110 2013 10/22/2013 CM3110 Transport I Part I: Flud Mechancs Macroscopc Momentum Balances Professor Fath Morrson Department of Chemcal Engneerng Mchgan Technologcal Unersty 1 Macroscopc

More information

Normally, in one phase reservoir simulation we would deal with one of the following fluid systems:

Normally, in one phase reservoir simulation we would deal with one of the following fluid systems: TPG4160 Reservor Smulaton 2017 page 1 of 9 ONE-DIMENSIONAL, ONE-PHASE RESERVOIR SIMULATION Flud systems The term sngle phase apples to any system wth only one phase present n the reservor In some cases

More information

A NEW FILTERED DYNAMIC SUBGRID-SCALE MODEL FOR LARGE EDDY SIMULATION OF INDOOR AIRFLOW

A NEW FILTERED DYNAMIC SUBGRID-SCALE MODEL FOR LARGE EDDY SIMULATION OF INDOOR AIRFLOW A NEW FILTERED DYNAMIC SUBGRID-SCALE MODEL FOR LARGE EDDY SIMULATION OF INDOOR AIRFLOW We Zhang and Qngyan Chen Buldng Technology Program Massachusetts Insttute of Technology 77 Mass. Ave., Cambrdge, MA

More information

11. Dynamics in Rotating Frames of Reference

11. Dynamics in Rotating Frames of Reference Unversty of Rhode Island DgtalCommons@URI Classcal Dynamcs Physcs Course Materals 2015 11. Dynamcs n Rotatng Frames of Reference Gerhard Müller Unversty of Rhode Island, gmuller@ur.edu Creatve Commons

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

1.3 Hence, calculate a formula for the force required to break the bond (i.e. the maximum value of F)

1.3 Hence, calculate a formula for the force required to break the bond (i.e. the maximum value of F) EN40: Dynacs and Vbratons Hoework 4: Work, Energy and Lnear Moentu Due Frday March 6 th School of Engneerng Brown Unversty 1. The Rydberg potental s a sple odel of atoc nteractons. It specfes the potental

More information

APPLICATION OF CFD TOOLS FOR INDOOR AND OUTDOOR ENVIRONMENT DESIGN

APPLICATION OF CFD TOOLS FOR INDOOR AND OUTDOOR ENVIRONMENT DESIGN , Volume 1, Number 1, p.14-9, 000 APPLICATION OF CFD TOOLS FOR INDOOR AND OUTDOOR ENVIRONMENT DESIGN Q. Chen and J. Srebrc Buldng Technology Program, Department of Archtecture, Massachusetts Insttute of

More information

As it can be observed from Fig. a) and b), applying Newton s Law for the tangential force component results into: mg sin mat

As it can be observed from Fig. a) and b), applying Newton s Law for the tangential force component results into: mg sin mat PHY4HF Exercse : Numercal ntegraton methods The Pendulum Startng wth small angles of oscllaton, you wll get expermental data on a smple pendulum and wll wrte a Python program to solve the equaton of moton.

More information

Applying control volume finite element for modelling. Direct injection boom spraying flow

Applying control volume finite element for modelling. Direct injection boom spraying flow Applyng control volume fnte element for modellng Drect njecton boom sprayng flow Abdellah El Assaou Natonal Insttute of Agrcultural Research, Dryland Research Center, PO Box 589 Settat 6, Morocco Frederc

More information

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products modelng of equlbrum and dynamc mult-component adsorpton n a two-layered fxed bed for purfcaton of hydrogen from methane reformng products Mohammad A. Ebrahm, Mahmood R. G. Arsalan, Shohreh Fatem * Laboratory

More information

Arbitrary Lagrangian Eulerian Electromechanics in 3D

Arbitrary Lagrangian Eulerian Electromechanics in 3D Progress In Electromagnetcs Research Symposum 2006, Cambrdge, USA, March 26-29 265 Arbtrary Lagrangan Euleran Electromechancs n 3D R. Reben, B. Walln, and D. Whte Lawrence Lvermore Natonal Laboratory,

More information

Suppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl

Suppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl RECURSIVE SPLINE INTERPOLATION METHOD FOR REAL TIME ENGINE CONTROL APPLICATIONS A. Stotsky Volvo Car Corporaton Engne Desgn and Development Dept. 97542, HA1N, SE- 405 31 Gothenburg Sweden. Emal: astotsky@volvocars.com

More information

ONE-DIMENSIONAL COLLISIONS

ONE-DIMENSIONAL COLLISIONS Purpose Theory ONE-DIMENSIONAL COLLISIONS a. To very the law o conservaton o lnear momentum n one-dmensonal collsons. b. To study conservaton o energy and lnear momentum n both elastc and nelastc onedmensonal

More information

High resolution entropy stable scheme for shallow water equations

High resolution entropy stable scheme for shallow water equations Internatonal Symposum on Computers & Informatcs (ISCI 05) Hgh resoluton entropy stable scheme for shallow water equatons Xaohan Cheng,a, Yufeng Ne,b, Department of Appled Mathematcs, Northwestern Polytechncal

More information

INTERROGATING THE FLOW BEHAVIOUR IN A NOVEL MAGNETIC DESICCANT VENTILATION SYSTEM USING COMPUTATIONAL FLUID DYNAMICS (CFD)

INTERROGATING THE FLOW BEHAVIOUR IN A NOVEL MAGNETIC DESICCANT VENTILATION SYSTEM USING COMPUTATIONAL FLUID DYNAMICS (CFD) INTERROGATING THE FLOW BEHAVIOUR IN A NOVEL MAGNETIC DESICCANT VENTILATION SYSTEM USING COMPUTATIONAL FLUID DYNAMICS (CFD) Auwal Dodo*, Valente Hernandez-Perez, Je Zhu and Saffa Rffat Faculty of Engneerng,

More information

Computational Astrophysics

Computational Astrophysics Computatonal Astrophyscs Solvng for Gravty Alexander Knebe, Unversdad Autonoma de Madrd Computatonal Astrophyscs Solvng for Gravty the equatons full set of equatons collsonless matter (e.g. dark matter

More information

Process Modeling. Improving or understanding chemical process operation is a major objective for developing a dynamic process model

Process Modeling. Improving or understanding chemical process operation is a major objective for developing a dynamic process model Process Modelng Improvng or understandng chemcal process operaton s a major objectve for developng a dynamc process model Balance equatons Steady-state balance equatons mass or energy mass or energy enterng

More information

Physics 207: Lecture 20. Today s Agenda Homework for Monday

Physics 207: Lecture 20. Today s Agenda Homework for Monday Physcs 207: Lecture 20 Today s Agenda Homework for Monday Recap: Systems of Partcles Center of mass Velocty and acceleraton of the center of mass Dynamcs of the center of mass Lnear Momentum Example problems

More information

Abstract. 1 Introduction

Abstract. 1 Introduction Numercal models for unsteady flow n ppe dvdng systems R. Klasnc," H. Knoblauch," R. Mader* ^ Department of Hydraulc Structures and Water Resources Management, Graz Unversty of Technology, A-8010, Graz,

More information

Survey of applications of discrete vortex method in civil engineering

Survey of applications of discrete vortex method in civil engineering Budownctwo Archtektura 5 (2009) 29-38 Survey of applcatons of dscrete vortex method n cvl engneerng Tomasz Nowck Lubln Unversty of Technology, Faculty of Cvl Engneerng and Archtecture, Department of Structural

More information

A Particle Dispersion Model For Analysis Of Two- Dimensional Mixing In Open Channels

A Particle Dispersion Model For Analysis Of Two- Dimensional Mixing In Open Channels Cty Unversty of New Yor (CUNY) CUNY Academc Wors Internatonal Conference on Hydronformatcs 8-1-2014 A Partcle Dsperson Model For Analyss Of Two- Dmensonal Mxng In Open Channels Il Won Seo In Hwan Par Follow

More information

Design Equations. ν ij r i V R. ν ij r i. Q n components. = Q f c jf Qc j + Continuous Stirred Tank Reactor (steady-state and constant phase)

Design Equations. ν ij r i V R. ν ij r i. Q n components. = Q f c jf Qc j + Continuous Stirred Tank Reactor (steady-state and constant phase) Desgn Equatons Batch Reactor d(v R c j ) dt = ν j r V R n dt dt = UA(T a T) r H R V R ncomponents V R c j C pj j Plug Flow Reactor d(qc j ) dv = ν j r 2 dt dv = R U(T a T) n r H R Q n components j c j

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate Internatonal Journal of Mathematcs and Systems Scence (018) Volume 1 do:10.494/jmss.v1.815 (Onlne Frst)A Lattce Boltzmann Scheme for Dffuson Equaton n Sphercal Coordnate Debabrata Datta 1 *, T K Pal 1

More information

Outline. Communication. Bellman Ford Algorithm. Bellman Ford Example. Bellman Ford Shortest Path [1]

Outline. Communication. Bellman Ford Algorithm. Bellman Ford Example. Bellman Ford Shortest Path [1] DYNAMIC SHORTEST PATH SEARCH AND SYNCHRONIZED TASK SWITCHING Jay Wagenpfel, Adran Trachte 2 Outlne Shortest Communcaton Path Searchng Bellmann Ford algorthm Algorthm for dynamc case Modfcatons to our algorthm

More information

1-Dimensional Advection-Diffusion Finite Difference Model Due to a Flow under Propagating Solitary Wave

1-Dimensional Advection-Diffusion Finite Difference Model Due to a Flow under Propagating Solitary Wave 014 4th Internatonal Conference on Future nvronment and nergy IPCB vol.61 (014) (014) IACSIT Press, Sngapore I: 10.776/IPCB. 014. V61. 6 1-mensonal Advecton-ffuson Fnte fference Model ue to a Flow under

More information

Lecture 14: Forces and Stresses

Lecture 14: Forces and Stresses The Nuts and Bolts of Frst-Prncples Smulaton Lecture 14: Forces and Stresses Durham, 6th-13th December 2001 CASTEP Developers Group wth support from the ESF ψ k Network Overvew of Lecture Why bother? Theoretcal

More information

The Discretization Process

The Discretization Process FMIA F Moukalled L Mangan M Darwsh An Advanced Introducton wth OpenFOAM and Matlab Ths textbook explores both the theoretcal foundaton of the Fnte Volume Method (FVM) and ts applcatons n Computatonal Flud

More information

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform Ths chapter deals wth chemcal reactons (system) wth lttle or no consderaton on the surroundngs. Chemcal Equlbrum Chapter 6 Spontanety of eactve Mxtures (gases) eactants generatng products would proceed

More information

MOLECULAR DYNAMICS ,..., What is it? 2 = i i

MOLECULAR DYNAMICS ,..., What is it? 2 = i i MOLECULAR DYNAMICS What s t? d d x t 2 m 2 = F ( x 1,..., x N ) =1,,N r ( x1 ( t),..., x ( t)) = v = ( x& 1 ( t ),..., x& ( t )) N N What are some uses of molecular smulatons and modelng? Conformatonal

More information

Electrochemical Equilibrium Electromotive Force

Electrochemical Equilibrium Electromotive Force CHM465/865, 24-3, Lecture 5-7, 2 th Sep., 24 lectrochemcal qulbrum lectromotve Force Relaton between chemcal and electrc drvng forces lectrochemcal system at constant T and p: consder Gbbs free energy

More information

ECE559VV Project Report

ECE559VV Project Report ECE559VV Project Report (Supplementary Notes Loc Xuan Bu I. MAX SUM-RATE SCHEDULING: THE UPLINK CASE We have seen (n the presentaton that, for downlnk (broadcast channels, the strategy maxmzng the sum-rate

More information

Homework 2: Kinematics and Dynamics of Particles Due Friday Feb 7, 2014 Max Score 45 Points + 8 Extra Credit

Homework 2: Kinematics and Dynamics of Particles Due Friday Feb 7, 2014 Max Score 45 Points + 8 Extra Credit EN40: Dynamcs and Vbratons School of Engneerng Brown Unversty Homework : Knematcs and Dynamcs of Partcles Due Frday Feb 7, 014 Max Score 45 Ponts + 8 Extra Credt 1. An expermental mcro-robot (see a descrpton

More information

Introduction to circuit analysis. Classification of Materials

Introduction to circuit analysis. Classification of Materials Introducton to crcut analyss OUTLINE Electrcal quanttes Charge Current Voltage Power The deal basc crcut element Sgn conventons Current versus voltage (I-V) graph Readng: 1.2, 1.3,1.6 Lecture 2, Slde 1

More information

Note 10. Modeling and Simulation of Dynamic Systems

Note 10. Modeling and Simulation of Dynamic Systems Lecture Notes of ME 475: Introducton to Mechatroncs Note 0 Modelng and Smulaton of Dynamc Systems Department of Mechancal Engneerng, Unversty Of Saskatchewan, 57 Campus Drve, Saskatoon, SK S7N 5A9, Canada

More information

V. Electrostatics. Lecture 25: Diffuse double layer structure

V. Electrostatics. Lecture 25: Diffuse double layer structure V. Electrostatcs Lecture 5: Dffuse double layer structure MIT Student Last tme we showed that whenever λ D L the electrolyte has a quas-neutral bulk (or outer ) regon at the geometrcal scale L, where there

More information