Shock-Turbulence Interaction

Size: px
Start display at page:

Download "Shock-Turbulence Interaction"

Transcription

1 Shock-Turbulece Iteractio A.Sakurai ad M.Tsukamoto Tokyo Deki Uiversity, Nishikicho -, Kada, Chiyoda-ku, Tokyo, Japa Abstract. For the geeral purpose of ivestigatig pheomeo of shock-turbulece iteractio, we cosider here the problem of a plae shock wave propagatig i a turbulet flow field. We compute this by the kietic model approach with use of the Boltzma equatio i the BGK approimatio. We produce a plae shock wave by a shock tube flow type computatio ad ru this ito a prefabricated turbulet flow. We observe the shock thickess wideig ad compare it with the oe by a miture legth theory as well as data of a eperimetal study i [4]. Keywords: shock wave, shock iteractio, turbulece PACS: Ab, 5.. +y INTRODUCTION For the geeral purpose of ivestigatig pheomeo of shock-turbulece iteractio [], we cosider here the problem of a plae shock wave propagatig i a turbulet flow field. We compute this by the molecular kietic model theory approach of the Boltzma equatio with the BGK approimatio []. I practice, we prepare first a steady plae shock wave i uiform gas by a shock tube flow type computatio, ad the ru this ito a prefabricated two-dimesioal isotropic turbulet field []. Amog results, particular attetio is paid to the wideig of the shock frot thickess due to the iteractio with the turbulet flow. It is compared also with the shock thickess give by a miig legth theory [3] ad data by a correspodig eperimet [4]. BOLTZMANN-BGK EQUATION IN INTEGRAL FORM We cosider two-dimesioal flow field ad use the Boltzma BGK equatio i itegral form [] as f ( ξ, + ξ t, t+ t) f ( ξ,, t) =ν ( f f ) (), where f = f ( ξ,, t) is the molecular distributio fuctio, ξ= ( ξ, ξ, ξ ) is the molecular velocity, = (, y) is the y z spatial coordiate. ν = ν (, t) is the collisio frequecy ad f = f ( ξ,, t) is the local Mawellia: f = N T C T, C= ξ u () 3 ( π ) ep{ / } with the umber desity N, the temperature T ad flow velocity u which are epressed i o-dimesioal form based o a basic legth L ad the referecig umber desity N ad temperature T. Further we assume the Mawell molecular model to have ν = k / K. N, K= l / L, k = 8/ 5 π, where K, l represet Kudse umber ad mea free path respectively. For the coveiece of umerical computatio of two-dimesioal flow, we use the reduced distributio fuctios

2 g, h by = fdξ ad their local Mawellias g, h by ( g, h) (, ξz ) z g = ( N / πt )ep{ ( C + C ) / T}, h = Tg / (3) y So that we ca reduce the idepedet variables to ( ξ, ξ y,, y, t). PLANE SHOCK WAVE IN SHOCK TUBE TYPE COMPUTATION We produce first a steady plae shock wave i uiform gas by a shock tube flow type computatio. For this, we postulate a shock tube like cofiguratio as show i Fig, where two sectios separated by the membrae filled with gases of differet pressures p, p. Computatios are performed with use of the kietic model equatio above for the sudde removed of the separatig membrae. Oe of the results is show i Fig i pressure distributios at differet times where p p = P T N membrae P T N P R E S S U R E 4 3 t= FIGURE. Shock tube type cofiguratio. FIGURE. Plae shock wave profile propagatig i shock tube type computatio. TWO-DIMENSIONAL ISOTROPIC TURBULENT FLOW FIELD We produce a two-dimesioal isotropic turbulet flow[], that is space periodic i a square regio. A radom iitial coditio is set at time t=, as a local Mawellia f is set with their flow velocity u, umber desity N = ad temperature T = for = (, y) i a uit squire regio f N ( πt) 3 ep{ C / T} =, C= ξ u, (4) where u obeys the isotropic eergy spectrum E( k ) : 3 E( k) = π u( k) u( k ) = K k ep{ ( k / k) } (5) where u ( k) is the Fourier trasform of u defied as u ( k) = u ( ) ep( ik ) d. (6) where K is a adjustable costat for the ormalizatio, ad k (the wave umber magitude of eergy cotaiig eddies at the iitial state) is chose as k =. The idividual mode is give radomly as follows: Let

3 ad set with u k = π, = (, ), =,,, for i=, = ( u, v ) π i u = a (, )si { + y+ ε ( )}; a = E k, (7) ad similar epressios for v, where ε ( ) are radom umbers i [,]. Computatio is performed for K =.,time step t=., divisios for ad ξ = ξ =.5 for 5 < ξ, ξ < 5 i. The iitial Reyolds umber is R = 67 with M = 4.5 of the maimum value of the iitial velocity U = 6Kξ ad K =.6. Oe eample of results obtaied is show i Fig.3 for the desity cotours. e FIGURE 3. Desity cotours of the two-dimesioal turbulet flow field produced umerically by a radom iitial coditio havig a proper eergy spectrum. SHOCK WAVE IN TURBULENT FLOW FIELD We put the shock wave produced by the shock tube type computatio as above ito the turbulet flow as prefabricated as show above i Fig.3. I practice, we performed i the two ways (ⅰ),(ⅱ): (ⅰ) The shock wave is pushed ito the field from its left ed. (ⅱ) Place the wave stadig i the flow field Eamples of pressure distributio results are show i Fig.4 ad Fig.5 respectively for the cases (ⅰ) ad (ⅱ). A particular attetio is paid to the wideig of the shock frot thickess (TH) due to the iteractio with the turbulet flow, which is compared with the oe see i Fig.. The shock thickess TH see i Fig.5 is about.3 to the preset dimesioless scale. The wideig of the shock thickess due to turbulece is epected to be caused by the Reyolds stress ad it is aturally related to the scale of the miig legth i the turbulet flow field. The thickess give by a miig legth theory [3] is give as k M du TH =. log 9 k= u (8) e C M d

4 ,where C, k,m, u represet the velocity of soud, eddy kiematic viscosity, Mach umber of shock wave ad time average of the velocity, respectively. The TH value by eq (8) to the above eample case is comparable size of.7 to.3 above.. TH FIGURE 4. Plae shock wave pushed ito the turbulet flow field from its left ed FIGURE 5 Plae shock wave statioary i turbulet flow showig its thickess. The result is compared also with data by a correspodig eperimet [4] i which the iteractio betwee a shock wave produced by a shock tube with atmospheric grid turbulece i a low speed wid tuel is eamied. Its pressure data at various poits i the tuel is reproduced i Fig.6(a) ad it is compared with the temporal pressure data at =.5,y=.5 of the preset study i Fig.6(b). Notice the same kid of pressure value fluctuatios appearig i both cases. d e l t a P.5 (a) (b) FIGURE 6. (a) Reproductio of pressure data at various poits i wid tuel eperimet i [4]. (b) Preset umerical temporal pressure data at =.5, y=.5 SUMMARY Cosidered the problem of a plae shock wave propagatig i a turbulet flow field time Computed the flow field by the molecular kietic model approach of the Boltzma equatio with the BGK approimatio theory.

5 Ra a plae shock wave produced i a shock tube flow type computatio ito a prefabricated two dimesioal turbulet flow. Amog results, a particular attetio was paid to the wideig of shock frot thickess due to its iteractio with the turbulet flow, which is compared with the oe i the origial shock wave. Compared also with the shock thickess give by a miig legth theory[3], ad data by a correspodig eperimet[4]. REFERENCES. A. Hadjadi, High-fidelity umerical simulatio of shock/turbulece ad shock/vorte iteractios, ISSW7, Roue, 8, 5.. M.Tsukamoto ad A.Sakurai, Decayig isotropic turbulece i gas flow, ISCFD/CFD Joural, 6, 7, pp.4-47; A.Sakurai ad F.Takayama, Molecular kietic approach to the problem of compressible turbulece, Phys.Fluids, 5, 3, pp A.Sakurai, O the thickess of plae shock waves i a gas i turbulet motio, J.Phys.Soc.Japa, 5,95, pp D. Takagi, Nagoya Uivesity, Nagoya, Japa; A. Matsuda, A. Sasoh, S. Ito, K. Nagata ad Y. Sakai, "Pressure Modulatio of Weak Shock Waves Through Turbulet Flows," AIAA paper, AIAA--447,.

Last time: Moments of the Poisson distribution from its generating function. Example: Using telescope to measure intensity of an object

Last time: Moments of the Poisson distribution from its generating function. Example: Using telescope to measure intensity of an object 6.3 Stochastic Estimatio ad Cotrol, Fall 004 Lecture 7 Last time: Momets of the Poisso distributio from its geeratig fuctio. Gs () e dg µ e ds dg µ ( s) µ ( s) µ ( s) µ e ds dg X µ ds X s dg dg + ds ds

More information

MECHANICAL INTEGRITY DESIGN FOR FLARE SYSTEM ON FLOW INDUCED VIBRATION

MECHANICAL INTEGRITY DESIGN FOR FLARE SYSTEM ON FLOW INDUCED VIBRATION MECHANICAL INTEGRITY DESIGN FOR FLARE SYSTEM ON FLOW INDUCED VIBRATION Hisao Izuchi, Pricipal Egieerig Cosultat, Egieerig Solutio Uit, ChAS Project Operatios Masato Nishiguchi, Egieerig Solutio Uit, ChAS

More information

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL

More information

Research Article Health Monitoring for a Structure Using Its Nonstationary Vibration

Research Article Health Monitoring for a Structure Using Its Nonstationary Vibration Advaces i Acoustics ad Vibratio Volume 2, Article ID 69652, 5 pages doi:.55/2/69652 Research Article Health Moitorig for a Structure Usig Its Nostatioary Vibratio Yoshimutsu Hirata, Mikio Tohyama, Mitsuo

More information

THE NUMERICAL SOLUTION OF THE NEWTONIAN FLUIDS FLOW DUE TO A STRETCHING CYLINDER BY SOR ITERATIVE PROCEDURE ABSTRACT

THE NUMERICAL SOLUTION OF THE NEWTONIAN FLUIDS FLOW DUE TO A STRETCHING CYLINDER BY SOR ITERATIVE PROCEDURE ABSTRACT Europea Joural of Egieerig ad Techology Vol. 3 No., 5 ISSN 56-586 THE NUMERICAL SOLUTION OF THE NEWTONIAN FLUIDS FLOW DUE TO A STRETCHING CYLINDER BY SOR ITERATIVE PROCEDURE Atif Nazir, Tahir Mahmood ad

More information

The Sampling Distribution of the Maximum. Likelihood Estimators for the Parameters of. Beta-Binomial Distribution

The Sampling Distribution of the Maximum. Likelihood Estimators for the Parameters of. Beta-Binomial Distribution Iteratioal Mathematical Forum, Vol. 8, 2013, o. 26, 1263-1277 HIKARI Ltd, www.m-hikari.com http://d.doi.org/10.12988/imf.2013.3475 The Samplig Distributio of the Maimum Likelihood Estimators for the Parameters

More information

FREE VIBRATIONS OF SIMPLY SUPPORTED BEAMS USING FOURIER SERIES

FREE VIBRATIONS OF SIMPLY SUPPORTED BEAMS USING FOURIER SERIES Abdullah : FREE VIBRATIONS OF SIMPY SUPPORTED BEAMS FREE VIBRATIONS OF SIMPY SUPPORTED BEAMS USING FOURIER SERIES SAWA MUBARAK ABDUAH Assistat ecturer Uiversity of Mosul Abstract Fourier series will be

More information

Research Article Health Monitoring for a Structure Using Its Nonstationary Vibration

Research Article Health Monitoring for a Structure Using Its Nonstationary Vibration Hidawi Publishig Corporatio Advaces i Acoustics ad Vibratio Volume 2, Article ID 69652, 5 pages doi:.55/2/69652 Research Article Health Moitorig for a Structure Usig Its Nostatioary Vibratio Yoshimutsu

More information

Quantum Annealing for Heisenberg Spin Chains

Quantum Annealing for Heisenberg Spin Chains LA-UR # - Quatum Aealig for Heiseberg Spi Chais G.P. Berma, V.N. Gorshkov,, ad V.I.Tsifriovich Theoretical Divisio, Los Alamos Natioal Laboratory, Los Alamos, NM Istitute of Physics, Natioal Academy of

More information

CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS

CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS C.PRAX ad H.SADAT Laboratoire d'etudes Thermiques,URA CNRS 403 40, Aveue du Recteur Pieau 86022 Poitiers Cedex,

More information

Lecture 7: Polar representation of complex numbers

Lecture 7: Polar representation of complex numbers Lecture 7: Polar represetatio of comple umbers See FLAP Module M3.1 Sectio.7 ad M3. Sectios 1 ad. 7.1 The Argad diagram I two dimesioal Cartesia coordiates (,), we are used to plottig the fuctio ( ) with

More information

Physics Supplement to my class. Kinetic Theory

Physics Supplement to my class. Kinetic Theory Physics Supplemet to my class Leaers should ote that I have used symbols for geometrical figures ad abbreviatios through out the documet. Kietic Theory 1 Most Probable, Mea ad RMS Speed of Gas Molecules

More information

Finite Difference Approximation for Transport Equation with Shifts Arising in Neuronal Variability

Finite Difference Approximation for Transport Equation with Shifts Arising in Neuronal Variability Iteratioal Joural of Sciece ad Research (IJSR) ISSN (Olie): 39-764 Ide Copericus Value (3): 64 Impact Factor (3): 4438 Fiite Differece Approimatio for Trasport Equatio with Shifts Arisig i Neuroal Variability

More information

2. Fourier Series, Fourier Integrals and Fourier Transforms

2. Fourier Series, Fourier Integrals and Fourier Transforms Mathematics IV -. Fourier Series, Fourier Itegrals ad Fourier Trasforms The Fourier series are used for the aalysis of the periodic pheomea, which ofte appear i physics ad egieerig. The Fourier itegrals

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

(c) Write, but do not evaluate, an integral expression for the volume of the solid generated when R is

(c) Write, but do not evaluate, an integral expression for the volume of the solid generated when R is Calculus BC Fial Review Name: Revised 7 EXAM Date: Tuesday, May 9 Remiders:. Put ew batteries i your calculator. Make sure your calculator is i RADIAN mode.. Get a good ight s sleep. Eat breakfast. Brig:

More information

Problem 1. Problem Engineering Dynamics Problem Set 9--Solution. Find the equation of motion for the system shown with respect to:

Problem 1. Problem Engineering Dynamics Problem Set 9--Solution. Find the equation of motion for the system shown with respect to: 2.003 Egieerig Dyamics Problem Set 9--Solutio Problem 1 Fid the equatio of motio for the system show with respect to: a) Zero sprig force positio. Draw the appropriate free body diagram. b) Static equilibrium

More information

Exercises and Problems

Exercises and Problems HW Chapter 4: Oe-Dimesioal Quatum Mechaics Coceptual Questios 4.. Five. 4.4.. is idepedet of. a b c mu ( E). a b m( ev 5 ev) c m(6 ev ev) Exercises ad Problems 4.. Model: Model the electro as a particle

More information

Finite Difference Approximation for First- Order Hyperbolic Partial Differential Equation Arising in Neuronal Variability with Shifts

Finite Difference Approximation for First- Order Hyperbolic Partial Differential Equation Arising in Neuronal Variability with Shifts Iteratioal Joural of Scietific Egieerig ad Research (IJSER) wwwiseri ISSN (Olie): 347-3878, Impact Factor (4): 35 Fiite Differece Approimatio for First- Order Hyperbolic Partial Differetial Equatio Arisig

More information

Objective Mathematics

Objective Mathematics 6. If si () + cos () =, the is equal to :. If <

More information

Chapter 10 Partial Differential Equations and Fourier Series

Chapter 10 Partial Differential Equations and Fourier Series Math-33 Chapter Partial Differetial Equatios November 6, 7 Chapter Partial Differetial Equatios ad Fourier Series Math-33 Chapter Partial Differetial Equatios November 6, 7. Boudary Value Problems for

More information

Review of Discrete-time Signals. ELEC 635 Prof. Siripong Potisuk

Review of Discrete-time Signals. ELEC 635 Prof. Siripong Potisuk Review of Discrete-time Sigals ELEC 635 Prof. Siripog Potisuk 1 Discrete-time Sigals Discrete-time, cotiuous-valued amplitude (sampled-data sigal) Discrete-time, discrete-valued amplitude (digital sigal)

More information

Streamfunction-Vorticity Formulation

Streamfunction-Vorticity Formulation Streamfuctio-Vorticity Formulatio A. Salih Departmet of Aerospace Egieerig Idia Istitute of Space Sciece ad Techology, Thiruvaathapuram March 2013 The streamfuctio-vorticity formulatio was amog the first

More information

CHAPTER 8 SYSTEMS OF PARTICLES

CHAPTER 8 SYSTEMS OF PARTICLES CHAPTER 8 SYSTES OF PARTICLES CHAPTER 8 COLLISIONS 45 8. CENTER OF ASS The ceter of mass of a system of particles or a rigid body is the poit at which all of the mass are cosidered to be cocetrated there

More information

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015 Uiversity of Wasigto Departmet of Cemistry Cemistry 453 Witer Quarter 15 Lecture 14. /11/15 Recommeded Text Readig: Atkis DePaula: 9.1, 9., 9.3 A. Te Equipartitio Priciple & Eergy Quatizatio Te Equipartio

More information

Free Surface Hydrodynamics

Free Surface Hydrodynamics Water Sciece ad Egieerig Free Surface Hydrodyamics y A part of Module : Hydraulics ad Hydrology Water Sciece ad Egieerig Dr. Shreedhar Maskey Seior Lecturer UNESCO-IHE Istitute for Water Educatio S. Maskey

More information

3 Balance equations ME338A CONTINUUM MECHANICS

3 Balance equations ME338A CONTINUUM MECHANICS ME338A CONTINUUM MECHANICS lecture otes 1 thursy, may 1, 28 Basic ideas util ow: kiematics, i.e., geeral statemets that characterize deformatio of a material body B without studyig its physical cause ow:

More information

Microscopic Theory of Transport (Fall 2003) Lecture 6 (9/19/03) Static and Short Time Properties of Time Correlation Functions

Microscopic Theory of Transport (Fall 2003) Lecture 6 (9/19/03) Static and Short Time Properties of Time Correlation Functions .03 Microscopic Theory of Trasport (Fall 003) Lecture 6 (9/9/03) Static ad Short Time Properties of Time Correlatio Fuctios Refereces -- Boo ad Yip, Chap There are a umber of properties of time correlatio

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION DOI: 10.1038/NPHYS309 O the reality of the quatum state Matthew F. Pusey, 1, Joatha Barrett, ad Terry Rudolph 1 1 Departmet of Physics, Imperial College Lodo, Price Cosort Road, Lodo SW7 AZ, Uited Kigdom

More information

Random Variables, Sampling and Estimation

Random Variables, Sampling and Estimation Chapter 1 Radom Variables, Samplig ad Estimatio 1.1 Itroductio This chapter will cover the most importat basic statistical theory you eed i order to uderstad the ecoometric material that will be comig

More information

Numerical Astrophysics: hydrodynamics

Numerical Astrophysics: hydrodynamics Numerical Astrophysics: hydrodyamics Part 1: Numerical solutios to the Euler Equatios Outlie Numerical eperimets are a valuable tool to study astrophysical objects (where we ca rarely do direct eperimets).

More information

Two or more points can be used to describe a rigid body. This will eliminate the need to define rotational coordinates for the body!

Two or more points can be used to describe a rigid body. This will eliminate the need to define rotational coordinates for the body! OINTCOORDINATE FORMULATION Two or more poits ca be used to describe a rigid body. This will elimiate the eed to defie rotatioal coordiates for the body i z r i i, j r j j rimary oits: The coordiates of

More information

GROUND MOTION OF NON-CIRCULAR ALLUVIAL VALLEY FOR INCIDENT PLANE SH-WAVE. Hui QI, Yong SHI, Jingfu NAN

GROUND MOTION OF NON-CIRCULAR ALLUVIAL VALLEY FOR INCIDENT PLANE SH-WAVE. Hui QI, Yong SHI, Jingfu NAN The th World Coferece o Earthquake Egieerig October -7, 8, Beiig, Chia GROUND MOTION OF NON-CIRCULAR ALLUVIAL VALLEY FOR INCIDENT PLANE SH-WAVE Hui QI, Yog SHI, Jigfu NAN ABSTRACT : Professor, Dept. of

More information

Spectral Analysis. This week in lab. Next classes: 3/26 and 3/28. Your next experiment Homework is to prepare

Spectral Analysis. This week in lab. Next classes: 3/26 and 3/28. Your next experiment Homework is to prepare Spectral Aalysis This week i lab Your ext experimet Homework is to prepare Next classes: 3/26 ad 3/28 Aero Testig, Fracture Toughess Testig Read the Experimets 5 ad 7 sectios of the course maual Spectral

More information

Finite-Difference Time-Domain Simulation of Light Propagation in 2D Periodic and Quasi-Periodic Photonic Structures

Finite-Difference Time-Domain Simulation of Light Propagation in 2D Periodic and Quasi-Periodic Photonic Structures JNS 3 (213) 359-364 Fiite-Differece Time-Domai Simulatio of Light Propagatio i 2D Periodic ad Quasi-Periodic Photoic Structures N. Dadashadeh a,b*, O.G. Romaov b a Islamic Aad Uiversity of Hadishahr, Hadishahr,

More information

Run-length & Entropy Coding. Redundancy Removal. Sampling. Quantization. Perform inverse operations at the receiver EEE

Run-length & Entropy Coding. Redundancy Removal. Sampling. Quantization. Perform inverse operations at the receiver EEE Geeral e Image Coder Structure Motio Video (s 1,s 2,t) or (s 1,s 2 ) Natural Image Samplig A form of data compressio; usually lossless, but ca be lossy Redudacy Removal Lossless compressio: predictive

More information

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j. Eigevalue-Eigevector Istructor: Nam Su Wag eigemcd Ay vector i real Euclidea space of dimesio ca be uiquely epressed as a liear combiatio of liearly idepedet vectors (ie, basis) g j, j,,, α g α g α g α

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information

1the 1it is said to be overdamped. When 1, the roots of

1the 1it is said to be overdamped. When 1, the roots of Homework 3 AERE573 Fall 08 Due 0/8(M) ame PROBLEM (40pts) Cosider a D order uderdamped system trasfer fuctio H( s) s ratio 0 The deomiator is the system characteristic polyomial P( s) s s (a)(5pts) Use

More information

17 Phonons and conduction electrons in solids (Hiroshi Matsuoka)

17 Phonons and conduction electrons in solids (Hiroshi Matsuoka) 7 Phoos ad coductio electros i solids Hiroshi Matsuoa I this chapter we will discuss a miimal microscopic model for phoos i a solid ad a miimal microscopic model for coductio electros i a simple metal.

More information

Question 1: The magnetic case

Question 1: The magnetic case September 6, 018 Corell Uiversity, Departmet of Physics PHYS 337, Advace E&M, HW # 4, due: 9/19/018, 11:15 AM Questio 1: The magetic case I class, we skipped over some details, so here you are asked to

More information

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t Itroductio to Differetial Equatios Defiitios ad Termiolog Differetial Equatio: A equatio cotaiig the derivatives of oe or more depedet variables, with respect to oe or more idepedet variables, is said

More information

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series Applied Mathematical Scieces, Vol. 7, 03, o. 6, 3-337 HIKARI Ltd, www.m-hikari.com http://d.doi.org/0.988/ams.03.3430 Compariso Study of Series Approimatio ad Covergece betwee Chebyshev ad Legedre Series

More information

Author(s) Kimura, Masayuki; Matsushita, Yasuo.

Author(s) Kimura, Masayuki; Matsushita, Yasuo. A study o bifurcatios ad Titlecocerig itrisic localized structu mode mechaical lattice Author(s) Kimura, Masayuki; Matsushita, Yasuo Citatio AIP Coferece Proceedigs: NONLINE State-of-the-Art ad Perspectives

More information

Introduction to Computational Molecular Biology. Gibbs Sampling

Introduction to Computational Molecular Biology. Gibbs Sampling 18.417 Itroductio to Computatioal Molecular Biology Lecture 19: November 16, 2004 Scribe: Tushara C. Karuarata Lecturer: Ross Lippert Editor: Tushara C. Karuarata Gibbs Samplig Itroductio Let s first recall

More information

Deterministic Model of Multipath Fading for Circular and Parabolic Reflector Patterns

Deterministic Model of Multipath Fading for Circular and Parabolic Reflector Patterns To appear i the Proceedigs of the 5 IEEE outheastco, (Ft. Lauderdale, FL), April 5 Determiistic Model of Multipath Fadig for Circular ad Parabolic Reflector Patters Dwight K. Hutcheso dhutche@clemso.edu

More information

Topic 5 [434 marks] (i) Find the range of values of n for which. (ii) Write down the value of x dx in terms of n, when it does exist.

Topic 5 [434 marks] (i) Find the range of values of n for which. (ii) Write down the value of x dx in terms of n, when it does exist. Topic 5 [44 marks] 1a (i) Fid the rage of values of for which eists 1 Write dow the value of i terms of 1, whe it does eist Fid the solutio to the differetial equatio 1b give that y = 1 whe = π (cos si

More information

TIME-CORRELATION FUNCTIONS

TIME-CORRELATION FUNCTIONS p. 8 TIME-CORRELATION FUNCTIONS Time-correlatio fuctios are a effective way of represetig the dyamics of a system. They provide a statistical descriptio of the time-evolutio of a variable for a esemble

More information

Castiel, Supernatural, Season 6, Episode 18

Castiel, Supernatural, Season 6, Episode 18 13 Differetial Equatios the aswer to your questio ca best be epressed as a series of partial differetial equatios... Castiel, Superatural, Seaso 6, Episode 18 A differetial equatio is a mathematical equatio

More information

: Transforms and Partial Differential Equations

: Transforms and Partial Differential Equations Trasforms ad Partial Differetial Equatios 018 SUBJECT NAME : Trasforms ad Partial Differetial Equatios SUBJECT CODE : MA 6351 MATERIAL NAME : Part A questios REGULATION : R013 WEBSITE : wwwharigaeshcom

More information

Joint Probability Distributions and Random Samples. Jointly Distributed Random Variables. Chapter { }

Joint Probability Distributions and Random Samples. Jointly Distributed Random Variables. Chapter { } UCLA STAT A Applied Probability & Statistics for Egieers Istructor: Ivo Diov, Asst. Prof. I Statistics ad Neurology Teachig Assistat: Neda Farziia, UCLA Statistics Uiversity of Califoria, Los Ageles, Sprig

More information

Fluid Physics 8.292J/12.330J % (1)

Fluid Physics 8.292J/12.330J % (1) Fluid Physics 89J/133J Problem Set 5 Solutios 1 Cosider the flow of a Euler fluid i the x directio give by for y > d U = U y 1 d for y d U + y 1 d for y < This flow does ot vary i x or i z Determie the

More information

Map as Outcomes of Processes. Outline. Map as Outcomes of Processes

Map as Outcomes of Processes. Outline. Map as Outcomes of Processes Map as Outcomes of Processes Outlie Defiitios: processes & patters A Startig poit: Complete Spatial Radomess More defiitio: Statioary Map as Outcomes of Processes The basic assumptio of Spatial Aalysis:

More information

TECHNIQUES OF INTEGRATION

TECHNIQUES OF INTEGRATION 7 TECHNIQUES OF INTEGRATION Simpso s Rule estimates itegrals b approimatig graphs with parabolas. Because of the Fudametal Theorem of Calculus, we ca itegrate a fuctio if we kow a atiderivative, that is,

More information

THE LEVEL SET METHOD APPLIED TO THREE-DIMENSIONAL DETONATION WAVE PROPAGATION. Wen Shanggang, Sun Chengwei, Zhao Feng, Chen Jun

THE LEVEL SET METHOD APPLIED TO THREE-DIMENSIONAL DETONATION WAVE PROPAGATION. Wen Shanggang, Sun Chengwei, Zhao Feng, Chen Jun THE LEVEL SET METHOD APPLIED TO THREE-DIMENSIONAL DETONATION WAVE PROPAGATION We Shaggag, Su Chegwei, Zhao Feg, Che Ju Laboratory for Shock Wave ad Detoatio Physics Research, Southwest Istitute of Fluid

More information

The Relative Angle Distribution Function in the Langevin Theory of Dilute Dipoles. Robert D. Nielsen

The Relative Angle Distribution Function in the Langevin Theory of Dilute Dipoles. Robert D. Nielsen The Relative Agle Distributio Fuctio i the agevi Theory of Dilute Dipoles Robert D. Nielse ExxoMobil Research ad Egieerig Co., Clito Towship, 545 Route East, Aadale, NJ 0880 robert.ielse@exxomobil.com

More information

Modeling and Performance Analysis with Discrete-Event Simulation

Modeling and Performance Analysis with Discrete-Event Simulation Simulatio Modelig ad Performace Aalysis with Discrete-Evet Simulatio Chapter 5 Statistical Models i Simulatio Cotets Basic Probability Theory Cocepts Useful Statistical Models Discrete Distributios Cotiuous

More information

Approximating the ruin probability of finite-time surplus process with Adaptive Moving Total Exponential Least Square

Approximating the ruin probability of finite-time surplus process with Adaptive Moving Total Exponential Least Square WSEAS TRANSACTONS o BUSNESS ad ECONOMCS S. Khotama, S. Boothiem, W. Klogdee Approimatig the rui probability of fiite-time surplus process with Adaptive Movig Total Epoetial Least Square S. KHOTAMA, S.

More information

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS.

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS. ICSV4 Cairs Australia 9- July 7 DTRMINATION OF MCHANICAL PROPRTIS OF A NON- UNIFORM BAM USING TH MASURMNT OF TH XCITD LONGITUDINAL LASTIC VIBRATIONS Pavel Aokhi ad Vladimir Gordo Departmet of the mathematics

More information

A hybrid kinetic-fluid model for solving the Vlasov-BGK equation.

A hybrid kinetic-fluid model for solving the Vlasov-BGK equation. A hybrid kietic-fluid model for solvig the Vlasov- equatio. Nicolas Crouseilles Pierre Degod Mohammed Lemou Abstract Our purpose is to derive a model for charged particles which combies a kietic descriptio

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

More information

Numerical Solution of the First-Order Hyperbolic Partial Differential Equation with Point-Wise Advance

Numerical Solution of the First-Order Hyperbolic Partial Differential Equation with Point-Wise Advance Iteratioal oural of Sciece ad Research (ISR) ISSN (Olie): 39-74 Ide Copericus Value (3): 4 Impact Factor (3): 4438 Numerical Solutio of the First-Order Hyperbolic Partial Differetial Equatio with Poit-Wise

More information

3-D hybrid LES-RANS model for simulation of open-channel T-diversion flows

3-D hybrid LES-RANS model for simulation of open-channel T-diversion flows Water Sciece ad Egieerig, 009, (3): 3-6 doi:0.388/j.iss.674-370.009.03.00 http://kkb.hhu.edu.c e-mail: wse@hhu.edu.c 3-D hybrid LES-RANS model for simulatio of ope-chael T-diversio flows Jie ZHOU, Cheg

More information

Office: JILA A709; Phone ;

Office: JILA A709; Phone ; Office: JILA A709; Phoe 303-49-7841; email: weberjm@jila.colorado.edu Problem Set 5 To be retured before the ed of class o Wedesday, September 3, 015 (give to me i perso or slide uder office door). 1.

More information

Journal of Computational Physics 149, (1999) Article ID jcph , available online at

Journal of Computational Physics 149, (1999) Article ID jcph , available online at Joural of Computatioal Physics 149, 418 422 (1999) Article ID jcph.1998.6131, available olie at http://www.idealibrary.com o NOTE Defiig Wave Amplitude i Characteristic Boudary Coditios Key Words: Euler

More information

d dx where k is a spring constant

d dx where k is a spring constant Vorlesug IX Harmoic Oscillator 1 Basic efiitios a properties a classical mechaics Oscillator is efie as a particle subject to a liear force fiel The force F ca be epresse i terms of potetial fuctio V F

More information

Taylor Polynomials and Taylor Series

Taylor Polynomials and Taylor Series Taylor Polyomials ad Taylor Series Cotets Taylor Polyomials... Eample.... Eample.... 4 Eample.3... 5 Eercises... 6 Eercise Solutios... 8 Taylor s Iequality... Eample.... Eample.... Eercises... 3 Eercise

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 5

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 5 CS434a/54a: Patter Recogitio Prof. Olga Veksler Lecture 5 Today Itroductio to parameter estimatio Two methods for parameter estimatio Maimum Likelihood Estimatio Bayesia Estimatio Itroducto Bayesia Decisio

More information

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall Iteratioal Mathematical Forum, Vol. 9, 04, o. 3, 465-475 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/0.988/imf.04.48 Similarity Solutios to Usteady Pseudoplastic Flow Near a Movig Wall W. Robi Egieerig

More information

Numerical Solution of the Taylor-Quette Flow Problem: A Commodious Statistical Approach

Numerical Solution of the Taylor-Quette Flow Problem: A Commodious Statistical Approach Physics Iteratioal (): 8-44, ISSN 948-98 Sciece Publicatios Numerical Solutio of the Taylor-Quette Flow Problem: A Commodious Statistical Approach Ayoob Karimi, Hassa Zeytooia ad Shahi Navardi Departmet

More information

Practical Spectral Anaysis (continue) (from Boaz Porat s book) Frequency Measurement

Practical Spectral Anaysis (continue) (from Boaz Porat s book) Frequency Measurement Practical Spectral Aaysis (cotiue) (from Boaz Porat s book) Frequecy Measuremet Oe of the most importat applicatios of the DFT is the measuremet of frequecies of periodic sigals (eg., siusoidal sigals),

More information

Kinetics of Complex Reactions

Kinetics of Complex Reactions Kietics of Complex Reactios by Flick Colema Departmet of Chemistry Wellesley College Wellesley MA 28 wcolema@wellesley.edu Copyright Flick Colema 996. All rights reserved. You are welcome to use this documet

More information

Fundamental Concepts: Surfaces and Curves

Fundamental Concepts: Surfaces and Curves UNDAMENTAL CONCEPTS: SURACES AND CURVES CHAPTER udametal Cocepts: Surfaces ad Curves. INTRODUCTION This chapter describes two geometrical objects, vi., surfaces ad curves because the pla a ver importat

More information

6. Kalman filter implementation for linear algebraic equations. Karhunen-Loeve decomposition

6. Kalman filter implementation for linear algebraic equations. Karhunen-Loeve decomposition 6. Kalma filter implemetatio for liear algebraic equatios. Karhue-Loeve decompositio 6.1. Solvable liear algebraic systems. Probabilistic iterpretatio. Let A be a quadratic matrix (ot obligatory osigular.

More information

Numerical Solutions of Second Order Boundary Value Problems by Galerkin Residual Method on Using Legendre Polynomials

Numerical Solutions of Second Order Boundary Value Problems by Galerkin Residual Method on Using Legendre Polynomials IOSR Joural of Mathematics (IOSR-JM) e-issn: 78-578, p-issn: 319-765X. Volume 11, Issue 6 Ver. IV (Nov. - Dec. 15), PP 1-11 www.iosrjourals.org Numerical Solutios of Secod Order Boudary Value Problems

More information

THE SYSTEMATIC AND THE RANDOM. ERRORS - DUE TO ELEMENT TOLERANCES OF ELECTRICAL NETWORKS

THE SYSTEMATIC AND THE RANDOM. ERRORS - DUE TO ELEMENT TOLERANCES OF ELECTRICAL NETWORKS R775 Philips Res. Repts 26,414-423, 1971' THE SYSTEMATIC AND THE RANDOM. ERRORS - DUE TO ELEMENT TOLERANCES OF ELECTRICAL NETWORKS by H. W. HANNEMAN Abstract Usig the law of propagatio of errors, approximated

More information

Stochastic Simulation

Stochastic Simulation Stochastic Simulatio 1 Itroductio Readig Assigmet: Read Chapter 1 of text. We shall itroduce may of the key issues to be discussed i this course via a couple of model problems. Model Problem 1 (Jackso

More information

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001.

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001. Physics 324, Fall 2002 Dirac Notatio These otes were produced by David Kapla for Phys. 324 i Autum 2001. 1 Vectors 1.1 Ier product Recall from liear algebra: we ca represet a vector V as a colum vector;

More information

A Negative Result. We consider the resolvent problem for the scalar Oseen equation

A Negative Result. We consider the resolvent problem for the scalar Oseen equation O Osee Resolvet Estimates: A Negative Result Paul Deurig Werer Varhor 2 Uiversité Lille 2 Uiversität Kassel Laboratoire de Mathématiques BP 699, 62228 Calais cédex Frace paul.deurig@lmpa.uiv-littoral.fr

More information

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering CEE 5 Autum 005 Ucertaity Cocepts for Geotechical Egieerig Basic Termiology Set A set is a collectio of (mutually exclusive) objects or evets. The sample space is the (collectively exhaustive) collectio

More information

Solution to problem set 2, Phys 210A

Solution to problem set 2, Phys 210A Solutio to problem set 2, Phys 20A Zhiyua Su Dated: April 27, 206 I. INFORMATION ENTROPY AND BOLTZMANN DISTRIBUTION a Usig Lagrage multipliers, we wat to maximize f p lp λe α From p f 0, we get p p lp

More information

x x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0,

x x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0, Math Activity 9( Due with Fial Eam) Usig first ad secod Taylor polyomials with remaider, show that for, 8 Usig a secod Taylor polyomial with remaider, fid the best costat C so that for, C 9 The th Derivative

More information

Salmon: Lectures on partial differential equations. 3. First-order linear equations as the limiting case of second-order equations

Salmon: Lectures on partial differential equations. 3. First-order linear equations as the limiting case of second-order equations 3. First-order liear equatios as the limitig case of secod-order equatios We cosider the advectio-diffusio equatio (1) v = 2 o a bouded domai, with boudary coditios of prescribed. The coefficiets ( ) (2)

More information

1988 AP Calculus BC: Section I

1988 AP Calculus BC: Section I 988 AP Calculus BC: Sectio I 9 Miutes No Calculator Notes: () I this eamiatio, l deotes the atural logarithm of (that is, logarithm to the base e). () Uless otherwise specified, the domai of a fuctio f

More information

Example 2. Find the upper bound for the remainder for the approximation from Example 1.

Example 2. Find the upper bound for the remainder for the approximation from Example 1. Lesso 8- Error Approimatios 0 Alteratig Series Remaider: For a coverget alteratig series whe approimatig the sum of a series by usig oly the first terms, the error will be less tha or equal to the absolute

More information

Similarity between quantum mechanics and thermodynamics: Entropy, temperature, and Carnot cycle

Similarity between quantum mechanics and thermodynamics: Entropy, temperature, and Carnot cycle Similarity betwee quatum mechaics ad thermodyamics: Etropy, temperature, ad Carot cycle Sumiyoshi Abe 1,,3 ad Shiji Okuyama 1 1 Departmet of Physical Egieerig, Mie Uiversity, Mie 514-8507, Japa Istitut

More information

Guiding-center transformation 1. δf = q ( c v f 0, (1) mc (v B 0) v f 0. (3)

Guiding-center transformation 1. δf = q ( c v f 0, (1) mc (v B 0) v f 0. (3) Guidig-ceter trasformatio 1 This is my otes whe readig Liu Che s book[1]. 1 Vlasov equatio The liearized Vlasov equatio is [ t + v x + q m E + v B c ] δf = q v m δe + v δb c v f, 1 where f ad δf are the

More information

3D Numerical Analysis of the Unsteady Turbulent Swirling Flow in a Conical Diffuser using FLUENT and OpenFOAM

3D Numerical Analysis of the Unsteady Turbulent Swirling Flow in a Conical Diffuser using FLUENT and OpenFOAM 3D Numerical Aalysis of the Usteady Turbulet Swirlig Flow i a Coical Diffuser usig FLUENT ad OpeFOAM Sebastia Mutea, Seior Researcher, Håka Nilsso, Associate Professor, Chalmers Techology, Gotheburg Romeo

More information

METHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS

METHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS Please cite this article as: Staisław Kula, Method of fudametal solutios for Helmholtz eigevalue problems i elliptical domais, Scietific Research of the Istitute of Mathematics ad Computer Sciece, 009,

More information

Molecular Mechanisms of Gas Diffusion in CO 2 Hydrates

Molecular Mechanisms of Gas Diffusion in CO 2 Hydrates Supportig Iformatio Molecular Mechaisms of Gas Diffusio i CO Hydrates Shuai Liag, * Deqig Liag, Negyou Wu,,3 Lizhi Yi, ad Gaowei Hu,3 Key Laboratory of Gas Hydrate, Guagzhou Istitute of Eergy Coversio,

More information

A hybrid kinetic-fluid model for solving the Vlasov-BGK equation.

A hybrid kinetic-fluid model for solving the Vlasov-BGK equation. A hybrid kietic-fluid model for solig the Vlaso- equatio. Nicolas Crouseilles Pierre Degod Mohammed Lemou st September 4 Abstract Our purpose is to derie a model for charged particles which combies a kietic

More information

Hauptman and Karle Joint and Conditional Probability Distributions. Robert H. Blessing, HWI/UB Structural Biology Department, January 2003 ( )

Hauptman and Karle Joint and Conditional Probability Distributions. Robert H. Blessing, HWI/UB Structural Biology Department, January 2003 ( ) Hauptma ad Karle Joit ad Coditioal Probability Distributios Robert H Blessig HWI/UB Structural Biology Departmet Jauary 00 ormalized crystal structure factors are defied by E h = F h F h = f a hexp ihi

More information

Section 1 of Unit 03 (Pure Mathematics 3) Algebra

Section 1 of Unit 03 (Pure Mathematics 3) Algebra Sectio 1 of Uit 0 (Pure Mathematics ) Algebra Recommeded Prior Kowledge Studets should have studied the algebraic techiques i Pure Mathematics 1. Cotet This Sectio should be studied early i the course

More information

Period Function of a Lienard Equation

Period Function of a Lienard Equation Joural of Mathematical Scieces (4) -5 Betty Joes & Sisters Publishig Period Fuctio of a Lieard Equatio Khalil T Al-Dosary Departmet of Mathematics, Uiversity of Sharjah, Sharjah 77, Uited Arab Emirates

More information

Ray Optics Theory and Mode Theory. Dr. Mohammad Faisal Dept. of EEE, BUET

Ray Optics Theory and Mode Theory. Dr. Mohammad Faisal Dept. of EEE, BUET Ray Optics Theory ad Mode Theory Dr. Mohammad Faisal Dept. of, BUT Optical Fiber WG For light to be trasmitted through fiber core, i.e., for total iteral reflectio i medium, > Ray Theory Trasmissio Ray

More information

8. Applications To Linear Differential Equations

8. Applications To Linear Differential Equations 8. Applicatios To Liear Differetial Equatios 8.. Itroductio 8.. Review Of Results Cocerig Liear Differetial Equatios Of First Ad Secod Orders 8.3. Eercises 8.4. Liear Differetial Equatios Of Order N 8.5.

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

Lecture III-2: Light propagation in nonmagnetic

Lecture III-2: Light propagation in nonmagnetic A. La Rosa Lecture Notes ALIED OTIC Lecture III2: Light propagatio i omagetic materials 2.1 urface ( ), volume ( ), ad curret ( j ) desities produced by arizatio charges The objective i this sectio is

More information

PHY4905: Nearly-Free Electron Model (NFE)

PHY4905: Nearly-Free Electron Model (NFE) PHY4905: Nearly-Free Electro Model (NFE) D. L. Maslov Departmet of Physics, Uiversity of Florida (Dated: Jauary 12, 2011) 1 I. REMINDER: QUANTUM MECHANICAL PERTURBATION THEORY A. No-degeerate eigestates

More information

Lattice Boltzmann simulation of flow around bluffbodies

Lattice Boltzmann simulation of flow around bluffbodies Louisiaa State Uiversity LSU Digital Commos LSU Master's Theses Graduate School 2004 Lattice Boltzma simulatio of flow aroud bluffbodies Kevi Tubbs Louisiaa State Uiversity ad Agricultural ad Mechaical

More information