Qualitative behavior of mixing phenomena - the case of axisymmetric extensional flows
|
|
- Scot Boone
- 6 years ago
- Views:
Transcription
1 ATHEATICAL ETHODS COPUTATIOAL TECHIQUES O-LIEAR SYSTES ITELLIGET SYSTES Qualiaive behavior of miing phenomena - he case of aisymmeric eensional flows ADELA IOESCU DAIELA COA Deparmen of Applied Sciences and Environmen Proecion Universiy of Craiova Address AI Cuza Sr no 585 ROAIA Absrac: The problems of flow kinemaics are far from complee solving even in our days A modern heory recenly appeared in his field: he miing heory Is mahemaical mehods and echniques developed he significan relaion beween urbulence and chaos The urbulence is an imporan feaure of dynamic sysems wih few freedom degrees he so-called far from equilibrium sysems These are widespread beween he models of eciable media Sudying a miing for a flow implies he analysis of successive sreching and folding phenomena for is paricles he influence of parameers and iniial condiions In he previous works [4] he sudy of he D non-periodic models ehibied a quie complicaed behavior In agreemen wih eperimens [6] hey involved some significan evens - he so-called rare evens The variaion of parameers had a grea influence on he lengh and surface deformaions The D (periodic) case was simpler bu significan evens can issue for irraional values of he lengh and surface versors herefore a comparison wih D case would reveal new analyical and quaniaive feaures This paper brings ino aenion anoher D miing flow model namely he aisymmeric eensional flow [5] There is performed a qualiaive analysis of is behavior from he srech efficiency sandpoin handling modern appliances of APLE sof [] The recorded daa are used for furher saisical analysis ey-words: - Turbulen miing Sreching Folding Rare even Ineracive Plo Builder Inroducion The miing concep The urbulence is an imporan feaure of dynamic sysems wih few freedom degrees he socalled far from equilibrium sysems In his area wo imporan heories are disinguished: he ransiion heory from smooh laminar flows o chaoic flows characerisic o urbulence on one hand and saisic sudies of he complee urbulen sysems on he oher hand The saisical idea of flow is generally represened by he map: Φ ( ) Φ ( ) () In he coninuum mechanics he relaion () named flow is a diffeomorphism of class C k and i mus saisfy he relaion: ( ( )) i J de D Φ de () j where D denoes he derivaion wih respec o he reference configuraion in his case The relaion () implies wo paricles and which occupy he same posiion a a momen on-opological behavior (like break up for eample) is no allowed Wih respec o here is defined he basic measure of deformaion he deformaion gradien F namely [5]: T ( ) i F Φ Fij () j where denoes differeniaion wih respec o According o () F is non singular The basic measure for he deformaion wih respec o is he velociy gradien Afer defining he basic deformaion of a maerial filamen and he corresponding relaion for he area of an infiniesimal maerial surface we can define he basic deformaion measures: he lengh deformaion λ and surface deformaion η wih he relaions [5]: / λ C : η ( de F ) ( C : ) / (4) where C (F T F) is he Cauchy-Green deformaion ensor and he vecors are he orienaion versors in lengh and surface respecively defined by: d da (5) d da The scalar form for (4) used in pracice is: ISS: ISB:
2 ATHEATICAL ETHODS COPUTATIOAL TECHIQUES O-LIEAR SYSTES ITELLIGET SYSTES λ Cij i j η ( de F ) Cij i (6) j wih i j he condiion for he versors The deformaion ensor F and he associaed ensors C C - represen he basic quaniies in he deformaion analysis for he infiniesimal elemens In his framework he miing concep implies he sreching and folding of he maerial elemens If in an iniial locaion P here is a maerial filamen d and an area elemen da he specific lengh and surface deformaions are given by he relaions: D( lnλ ) D( lnη) D : mm v D : nn (7) D D where D is he deformaion ensor obained by decomposing he velociy gradien in is symmeric and non-symmeric par We say ha he flow Φ () has a good miing if he mean values D(lnλ)/D and D(lnη)/D are no decreasing o zero for any iniial posiion P and any iniial orienaions and As he above wo quaniies are bounded he deformaion efficiency can be naurally quanified Thus here is defined [5] he deformaion efficiency in lengh e λ e λ () of he maerial elemen d as: D( ln λ) / D eλ (8) / ( D : D) and similarly he deformaion efficiency in surface e η e η () of he area elemen da: in he case of an isochoric flow (he jacobian equal ) we have: D( lnη) / D eη (9) / D : D Recen resuls In previous works [4] here were realized elaboraed sudies boh for D and D miing models Saring from he widespread D basic flow [5]: G () G few cases were aken ino accoun wih some model perurbaions as follows: G () G and G () G G ( ) For boh models he analyic behavior from he miing efficiency was realized and i mus be noiced ha alhough he model had small perurbaions he behavior was very differen especially because of he irraional values of he lengh and surface versors oreover rare evens have issued sanding from he numeric/simulaion sandpoin This is a very special feaure which argued anoher imporan qualiaive analysis of D flow model Saring also from () he D flow model was creaed []: G G () c wih he same condiions: G where ccons represen he velociy The associaed eperimenal flow process was consiued by a vore insallaion [6] where a biological maerial he Spirulina Plaensis algae was voreed in special deermined condiions in a basic fluid waer The voreaion insallaion gained few imporan prizes and has very few large applicaions in imporan indusrial branches [6] The imporan fac ha mus be noiced is ha he numeric simulaions mached he eperimens amely here were considered 6 saisical cases (for he lengh and surface versors values and for he parameers G and ) and he numeric simulaions confirmed ha a some special irraional values of he versors especially of he surface versors he filamens of he biological maerial breake up This fac coincides wih he breake up of he program and he new resuled biological maerial has new properies differen from he iniial one [] This fac could give an imporan rend in few indusrial/bioechnological areas For he momen we focus on he analyic sudy and he imporance of he APLE insrumens The eensional flow model The model analysis Le us consider he aisymmeric eensional flow wih he following mahemaical ISS: ISB:
3 model [5]: (4) where -< < I is ineresing from wo basic sandpoins: he special symmeric form of he flow on one hand and he fac ha i has only sreching phenomena - because of is eensional feaure- on he oher hand If a he momen we have d d d d hen he soluion of he Cauchy problem associaed o (4) is: ep ep ep (5) Then he mari F and he Cauchy-Green ensor C are compued o be ep ep ep F (6) ep ep ep C (7) Due o is eensional form his flow model has only sreching phenomena Therefore in his framework he lineal srech given by (6) becomes: ep ep ln D D λ (8) I mus be noiced some symmery in he above relaionship This is characerisic o linear flows In wha follows we shall presen he numeric analysis of he behavior of he lineal srech (8) If in [] he analysis had wo sages one of solving he differenial equaion given by he form of D D λ ln wih a specific numeric APLE procedure dsolve [] and he ne sage of realizing poin plos of pair poins resuled in he firs sage in he presen case he work speed is significanly increased using an special APLE builder namely he ineracive plo builder [] This plo solves auomaically he required differenial equaion and hen plos he corresponding plo in is opimal form for a specific aim Le us noe ha his builder has also useful opions for parameers Few cases were aken ino accoun for he versors values and for he parameer Because of he symmery of he relaionship (8) he sign of he versors and some zero componen are no significan The seleced cases are as follows: a) ; b) ; c) ; d) 6 Combining wih wo cases for he parameer namely: i) 8; ii) 5 i resuls graphic cases labeled ai) aii)di) dii) as follows The plos were simulaed for ime unis and when he case for ime unis ATHEATICAL ETHODS COPUTATIOAL TECHIQUES O-LIEAR SYSTES ITELLIGET SYSTES ISS: ISB:
4 ATHEATICAL ETHODS COPUTATIOAL TECHIQUES O-LIEAR SYSTES ITELLIGET SYSTES Fig Fig4 Fig Fig5 Fig Fig6 ISS: ISB:
5 ATHEATICAL ETHODS COPUTATIOAL TECHIQUES O-LIEAR SYSTES ITELLIGET SYSTES Fig7 Fig Fig8 Fig Fig9 Fig ISS: ISB:
6 4 Comparison aspecs wih D general miing flow Le us refer o he general D miing model cons c c G G (9) This is he naural D version of he widespread D flow [5]: cons c G G wih he parameer G is posiive generally <G< The hree-dimensional version is obained by adding he velociy componen considered o be consan for he momen Alhough he model seems no complicaed he soluion of he Cauchy problem associaed o (9) is: ep ep ep ep c () wih he noaion G Therefore he deformaion ensor F and he associaed Cauchy-Green ensor C have quie comple relaions [] As said above in D miing case here where sudied very few saisical cases abou 6 cases all in discree ime unis Several value ses were aken ino accoun for he lengh and surface versors and correspondingly for he parameers [] In wha follows we shall presen few cases for he surface deformaion for beer comparing he behavior in he discree case I mus be noiced ha he discree case allows one o observe he proimiy or he disancing of he poins in he considered ime scale The figures are numbered according o he simulaion case as follows: a) Fig he case : 8 wih b) Fig 4 he case: 8 wih c) Fig 5- he case: 8 wih d) Fig 6 he case: wih e) Fig 7- he case: 8 wih Fig ATHEATICAL ETHODS COPUTATIOAL TECHIQUES O-LIEAR SYSTES ITELLIGET SYSTES ISS: ISB:
7 ATHEATICAL ETHODS COPUTATIOAL TECHIQUES O-LIEAR SYSTES ITELLIGET SYSTES Fig 4 Fig 5 Fig 6 5 Conclusion remarks Some imporan remarks issue from he above analysis: i Analyzing he above plos i can be observed ha nonlinear behavior prevails for he lineal srech of he aisymmeric eensional flow The irraional values of he versors have a grea influence on his behavior ii For he nonlinear behavior here were aken ino accoun also smaller ime momens ime unis As can be seen he plo changes is form when sudied in a small ime inerval which means i can be beer evaluaed he energy dissipaion of he eensional flow in his case iii I mus be noiced ha in he presen case he analysis is realized on coninuous ime unis comparing o [] where he analysis was realized in discree ime unis This is because he ineracive plo builder of APLE works wih his opion iv Alhough he sudied model has only sreching phenomena (and no sreching folding ) he influence of irraional values could be seen here also This is because he irraionals 5 ec could be inerpreed as random values hemselves The same happened for D model [] Thus a ne aim could be he sudy of he issue of random phenomena conjecure v Anoher fuure aim is o es and compare he procedures of APLE in solving and analyzing he efficiency of miing For eample he numeric procedure dsolve has wo oupu ypes lisprocedure and piecewise producing oupus for discree and coninuous ime respecively [] Choosing one or oher oupu lead o plos which have significan differen aspecs I can be easily observed when sudying he figures -7 The discree case is more difficul bu offers more accurae observaions his is he case wih he figures 6 and 7 where here issue he so-called rare evens meaning he breakup of he simulaion program Comparing o his siuaions he coninuous case can wase some ime momens of sudy This feaure is more perinen when observing ha he discree case were sudied on a larger scale 5 ime unis References: [] A C Hindmarsh RS Sepleman (eds) Odepack a sysemized collecion of ODE solvers orh Holland Amserdam 98 Fig 7 ISS: ISB:
8 ATHEATICAL ETHODS COPUTATIOAL TECHIQUES O-LIEAR SYSTES ITELLIGET SYSTES [] A Ionescu The srucural sabiliy of biological oscillaors Analyical conribuions PhD Thesis Polyechnic Universiy of Bucares [] A Ionescu Cosescu Compuaional aspecs in eciable media The case of vore phenomena In J of Compuers Communicaions and Conrol vol I(6) Suppl issue: Proceedings of ICCCC6 pp 8-84 [4] A Ionescu Cosescu The influence of parameers on he phaseporrai in he miing model In J of Compuers Communicaions and Conrol vol III(8) Suppl issue: Proceedings of IJCCCC8 pp -7 [5] J Oino The kinemaics of miing: sreching chaos and ranspor Cambridge Universiy Press 989 [6] S Savulescu Applicaions of muliple flows in a vore ube closed a one end Inernal Repors CCTE IAE (Insiue of Applied Ecology) Bucares 998 ISS: ISB:
(1) (2) Differentiation of (1) and then substitution of (3) leads to. Therefore, we will simply consider the second-order linear system given by (4)
Phase Plane Analysis of Linear Sysems Adaped from Applied Nonlinear Conrol by Sloine and Li The general form of a linear second-order sysem is a c b d From and b bc d a Differeniaion of and hen subsiuion
More informationLecture 4 Kinetics of a particle Part 3: Impulse and Momentum
MEE Engineering Mechanics II Lecure 4 Lecure 4 Kineics of a paricle Par 3: Impulse and Momenum Linear impulse and momenum Saring from he equaion of moion for a paricle of mass m which is subjeced o an
More informationApplication of a Stochastic-Fuzzy Approach to Modeling Optimal Discrete Time Dynamical Systems by Using Large Scale Data Processing
Applicaion of a Sochasic-Fuzzy Approach o Modeling Opimal Discree Time Dynamical Sysems by Using Large Scale Daa Processing AA WALASZE-BABISZEWSA Deparmen of Compuer Engineering Opole Universiy of Technology
More informationEE 315 Notes. Gürdal Arslan CLASS 1. (Sections ) What is a signal?
EE 35 Noes Gürdal Arslan CLASS (Secions.-.2) Wha is a signal? In his class, a signal is some funcion of ime and i represens how some physical quaniy changes over some window of ime. Examples: velociy of
More informationSimulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010
Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid
More informationSTATE-SPACE MODELLING. A mass balance across the tank gives:
B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing
More informationLecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.
Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in
More informationNotes on Kalman Filtering
Noes on Kalman Filering Brian Borchers and Rick Aser November 7, Inroducion Daa Assimilaion is he problem of merging model predicions wih acual measuremens of a sysem o produce an opimal esimae of he curren
More informationSPH3U: Projectiles. Recorder: Manager: Speaker:
SPH3U: Projeciles Now i s ime o use our new skills o analyze he moion of a golf ball ha was ossed hrough he air. Le s find ou wha is special abou he moion of a projecile. Recorder: Manager: Speaker: 0
More informationPhysics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle
Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,
More informationRobotics I. April 11, The kinematics of a 3R spatial robot is specified by the Denavit-Hartenberg parameters in Tab. 1.
Roboics I April 11, 017 Exercise 1 he kinemaics of a 3R spaial robo is specified by he Denavi-Harenberg parameers in ab 1 i α i d i a i θ i 1 π/ L 1 0 1 0 0 L 3 0 0 L 3 3 able 1: able of DH parameers of
More informationModule 2 F c i k c s la l w a s o s f dif di fusi s o i n
Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms
More information2. Nonlinear Conservation Law Equations
. Nonlinear Conservaion Law Equaions One of he clear lessons learned over recen years in sudying nonlinear parial differenial equaions is ha i is generally no wise o ry o aack a general class of nonlinear
More informationBasilio Bona ROBOTICA 03CFIOR 1
Indusrial Robos Kinemaics 1 Kinemaics and kinemaic funcions Kinemaics deals wih he sudy of four funcions (called kinemaic funcions or KFs) ha mahemaically ransform join variables ino caresian variables
More informationModal identification of structures from roving input data by means of maximum likelihood estimation of the state space model
Modal idenificaion of srucures from roving inpu daa by means of maximum likelihood esimaion of he sae space model J. Cara, J. Juan, E. Alarcón Absrac The usual way o perform a forced vibraion es is o fix
More informationTraveling Waves. Chapter Introduction
Chaper 4 Traveling Waves 4.1 Inroducion To dae, we have considered oscillaions, i.e., periodic, ofen harmonic, variaions of a physical characerisic of a sysem. The sysem a one ime is indisinguishable from
More informationSome Basic Information about M-S-D Systems
Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,
More informationThe motions of the celt on a horizontal plane with viscous friction
The h Join Inernaional Conference on Mulibody Sysem Dynamics June 8, 18, Lisboa, Porugal The moions of he cel on a horizonal plane wih viscous fricion Maria A. Munisyna 1 1 Moscow Insiue of Physics and
More informationVehicle Arrival Models : Headway
Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where
More informationKinematics and kinematic functions
Kinemaics and kinemaic funcions Kinemaics deals wih he sudy of four funcions (called kinemaic funcions or KFs) ha mahemaically ransform join variables ino caresian variables and vice versa Direc Posiion
More informationKINEMATICS IN ONE DIMENSION
KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings move how far (disance and displacemen), how fas (speed and velociy), and how fas ha how fas changes (acceleraion). We say ha an objec
More informationNavneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi
Creep in Viscoelasic Subsances Numerical mehods o calculae he coefficiens of he Prony equaion using creep es daa and Herediary Inegrals Mehod Navnee Saini, Mayank Goyal, Vishal Bansal (23); Term Projec
More informationTwo Coupled Oscillators / Normal Modes
Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own
More informationGround Rules. PC1221 Fundamentals of Physics I. Kinematics. Position. Lectures 3 and 4 Motion in One Dimension. A/Prof Tay Seng Chuan
Ground Rules PC11 Fundamenals of Physics I Lecures 3 and 4 Moion in One Dimension A/Prof Tay Seng Chuan 1 Swich off your handphone and pager Swich off your lapop compuer and keep i No alking while lecure
More informationAnalytical Solutions of an Economic Model by the Homotopy Analysis Method
Applied Mahemaical Sciences, Vol., 26, no. 5, 2483-249 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/.2988/ams.26.6688 Analyical Soluions of an Economic Model by he Homoopy Analysis Mehod Jorge Duare ISEL-Engineering
More informationInventory Control of Perishable Items in a Two-Echelon Supply Chain
Journal of Indusrial Engineering, Universiy of ehran, Special Issue,, PP. 69-77 69 Invenory Conrol of Perishable Iems in a wo-echelon Supply Chain Fariborz Jolai *, Elmira Gheisariha and Farnaz Nojavan
More informationNon-uniform circular motion *
OpenSax-CNX module: m14020 1 Non-uniform circular moion * Sunil Kumar Singh This work is produced by OpenSax-CNX and licensed under he Creaive Commons Aribuion License 2.0 Wha do we mean by non-uniform
More information2.160 System Identification, Estimation, and Learning. Lecture Notes No. 8. March 6, 2006
2.160 Sysem Idenificaion, Esimaion, and Learning Lecure Noes No. 8 March 6, 2006 4.9 Eended Kalman Filer In many pracical problems, he process dynamics are nonlinear. w Process Dynamics v y u Model (Linearized)
More information4.5 Constant Acceleration
4.5 Consan Acceleraion v() v() = v 0 + a a() a a() = a v 0 Area = a (a) (b) Figure 4.8 Consan acceleraion: (a) velociy, (b) acceleraion When he x -componen of he velociy is a linear funcion (Figure 4.8(a)),
More informationGeorey E. Hinton. University oftoronto. Technical Report CRG-TR February 22, Abstract
Parameer Esimaion for Linear Dynamical Sysems Zoubin Ghahramani Georey E. Hinon Deparmen of Compuer Science Universiy oftorono 6 King's College Road Torono, Canada M5S A4 Email: zoubin@cs.orono.edu Technical
More informationLecture Notes 2. The Hilbert Space Approach to Time Series
Time Series Seven N. Durlauf Universiy of Wisconsin. Basic ideas Lecure Noes. The Hilber Space Approach o Time Series The Hilber space framework provides a very powerful language for discussing he relaionship
More informationMatlab and Python programming: how to get started
Malab and Pyhon programming: how o ge sared Equipping readers he skills o wrie programs o explore complex sysems and discover ineresing paerns from big daa is one of he main goals of his book. In his chaper,
More informationRecursive Least-Squares Fixed-Interval Smoother Using Covariance Information based on Innovation Approach in Linear Continuous Stochastic Systems
8 Froniers in Signal Processing, Vol. 1, No. 1, July 217 hps://dx.doi.org/1.2266/fsp.217.112 Recursive Leas-Squares Fixed-Inerval Smooher Using Covariance Informaion based on Innovaion Approach in Linear
More informationSUFFICIENT CONDITIONS FOR EXISTENCE SOLUTION OF LINEAR TWO-POINT BOUNDARY PROBLEM IN MINIMIZATION OF QUADRATIC FUNCTIONAL
HE PUBLISHING HOUSE PROCEEDINGS OF HE ROMANIAN ACADEMY, Series A, OF HE ROMANIAN ACADEMY Volume, Number 4/200, pp 287 293 SUFFICIEN CONDIIONS FOR EXISENCE SOLUION OF LINEAR WO-POIN BOUNDARY PROBLEM IN
More informationSection 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients
Secion 3.5 Nonhomogeneous Equaions; Mehod of Undeermined Coefficiens Key Terms/Ideas: Linear Differenial operaor Nonlinear operaor Second order homogeneous DE Second order nonhomogeneous DE Soluion o homogeneous
More informationStructural Dynamics and Earthquake Engineering
Srucural Dynamics and Earhquae Engineering Course 1 Inroducion. Single degree of freedom sysems: Equaions of moion, problem saemen, soluion mehods. Course noes are available for download a hp://www.c.up.ro/users/aurelsraan/
More informationClass Meeting # 10: Introduction to the Wave Equation
MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion
More informationSub Module 2.6. Measurement of transient temperature
Mechanical Measuremens Prof. S.P.Venkaeshan Sub Module 2.6 Measuremen of ransien emperaure Many processes of engineering relevance involve variaions wih respec o ime. The sysem properies like emperaure,
More informationOn Multicomponent System Reliability with Microshocks - Microdamages Type of Components Interaction
On Mulicomponen Sysem Reliabiliy wih Microshocks - Microdamages Type of Componens Ineracion Jerzy K. Filus, and Lidia Z. Filus Absrac Consider a wo componen parallel sysem. The defined new sochasic dependences
More informationThe Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales
Advances in Dynamical Sysems and Applicaions. ISSN 0973-5321 Volume 1 Number 1 (2006, pp. 103 112 c Research India Publicaions hp://www.ripublicaion.com/adsa.hm The Asympoic Behavior of Nonoscillaory Soluions
More information23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes
Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals
More informationSymmetry and Numerical Solutions for Systems of Non-linear Reaction Diffusion Equations
Symmery and Numerical Soluions for Sysems of Non-linear Reacion Diffusion Equaions Sanjeev Kumar* and Ravendra Singh Deparmen of Mahemaics, (Dr. B. R. Ambedkar niversiy, Agra), I. B. S. Khandari, Agra-8
More informationStability and Bifurcation in a Neural Network Model with Two Delays
Inernaional Mahemaical Forum, Vol. 6, 11, no. 35, 175-1731 Sabiliy and Bifurcaion in a Neural Nework Model wih Two Delays GuangPing Hu and XiaoLing Li School of Mahemaics and Physics, Nanjing Universiy
More informationModelling traffic flow with constant speed using the Galerkin finite element method
Modelling raffic flow wih consan speed using he Galerin finie elemen mehod Wesley Ceulemans, Magd A. Wahab, Kur De Prof and Geer Wes Absrac A macroscopic level, raffic can be described as a coninuum flow.
More informationExponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits
DOI: 0.545/mjis.07.5009 Exponenial Weighed Moving Average (EWMA) Char Under The Assumpion of Moderaeness And Is 3 Conrol Limis KALPESH S TAILOR Assisan Professor, Deparmen of Saisics, M. K. Bhavnagar Universiy,
More informationFractional Method of Characteristics for Fractional Partial Differential Equations
Fracional Mehod of Characerisics for Fracional Parial Differenial Equaions Guo-cheng Wu* Modern Teile Insiue, Donghua Universiy, 188 Yan-an ilu Road, Shanghai 51, PR China Absrac The mehod of characerisics
More informationOutline of Topics. Analysis of ODE models with MATLAB. What will we learn from this lecture. Aim of analysis: Why such analysis matters?
of Topics wih MATLAB Shan He School for Compuaional Science Universi of Birmingham Module 6-3836: Compuaional Modelling wih MATLAB Wha will we learn from his lecure Aim of analsis: Aim of analsis. Some
More informationVanishing Viscosity Method. There are another instructive and perhaps more natural discontinuous solutions of the conservation law
Vanishing Viscosiy Mehod. There are anoher insrucive and perhaps more naural disconinuous soluions of he conservaion law (1 u +(q(u x 0, he so called vanishing viscosiy mehod. This mehod consiss in viewing
More informationChapter 2. First Order Scalar Equations
Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.
More informationODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004
ODEs II, Lecure : Homogeneous Linear Sysems - I Mike Raugh March 8, 4 Inroducion. In he firs lecure we discussed a sysem of linear ODEs for modeling he excreion of lead from he human body, saw how o ransform
More informationCash Flow Valuation Mode Lin Discrete Time
IOSR Journal of Mahemaics (IOSR-JM) e-issn: 2278-5728,p-ISSN: 2319-765X, 6, Issue 6 (May. - Jun. 2013), PP 35-41 Cash Flow Valuaion Mode Lin Discree Time Olayiwola. M. A. and Oni, N. O. Deparmen of Mahemaics
More informationPositive continuous solution of a quadratic integral equation of fractional orders
Mah. Sci. Le., No., 9-7 (3) 9 Mahemaical Sciences Leers An Inernaional Journal @ 3 NSP Naural Sciences Publishing Cor. Posiive coninuous soluion of a quadraic inegral equaion of fracional orders A. M.
More informationOn a Discrete-In-Time Order Level Inventory Model for Items with Random Deterioration
Journal of Agriculure and Life Sciences Vol., No. ; June 4 On a Discree-In-Time Order Level Invenory Model for Iems wih Random Deerioraion Dr Biswaranjan Mandal Associae Professor of Mahemaics Acharya
More informationImproved Approximate Solutions for Nonlinear Evolutions Equations in Mathematical Physics Using the Reduced Differential Transform Method
Journal of Applied Mahemaics & Bioinformaics, vol., no., 01, 1-14 ISSN: 179-660 (prin), 179-699 (online) Scienpress Ld, 01 Improved Approimae Soluions for Nonlinear Evoluions Equaions in Mahemaical Physics
More informationZürich. ETH Master Course: L Autonomous Mobile Robots Localization II
Roland Siegwar Margaria Chli Paul Furgale Marco Huer Marin Rufli Davide Scaramuzza ETH Maser Course: 151-0854-00L Auonomous Mobile Robos Localizaion II ACT and SEE For all do, (predicion updae / ACT),
More information10. State Space Methods
. Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he
More informationSingle and Double Pendulum Models
Single and Double Pendulum Models Mah 596 Projec Summary Spring 2016 Jarod Har 1 Overview Differen ypes of pendulums are used o model many phenomena in various disciplines. In paricular, single and double
More informationVariational Iteration Method for Solving System of Fractional Order Ordinary Differential Equations
IOSR Journal of Mahemaics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 1, Issue 6 Ver. II (Nov - Dec. 214), PP 48-54 Variaional Ieraion Mehod for Solving Sysem of Fracional Order Ordinary Differenial
More information18 Biological models with discrete time
8 Biological models wih discree ime The mos imporan applicaions, however, may be pedagogical. The elegan body of mahemaical heory peraining o linear sysems (Fourier analysis, orhogonal funcions, and so
More informationLab #2: Kinematics in 1-Dimension
Reading Assignmen: Chaper 2, Secions 2-1 hrough 2-8 Lab #2: Kinemaics in 1-Dimension Inroducion: The sudy of moion is broken ino wo main areas of sudy kinemaics and dynamics. Kinemaics is he descripion
More informationA Shooting Method for A Node Generation Algorithm
A Shooing Mehod for A Node Generaion Algorihm Hiroaki Nishikawa W.M.Keck Foundaion Laboraory for Compuaional Fluid Dynamics Deparmen of Aerospace Engineering, Universiy of Michigan, Ann Arbor, Michigan
More informationBifurcation Analysis of a Stage-Structured Prey-Predator System with Discrete and Continuous Delays
Applied Mahemaics 4 59-64 hp://dx.doi.org/.46/am..4744 Published Online July (hp://www.scirp.org/ournal/am) Bifurcaion Analysis of a Sage-Srucured Prey-Predaor Sysem wih Discree and Coninuous Delays Shunyi
More informationTurbulent Flows. Computational Modelling of Turbulent Flows. Overview. Turbulent Eddies and Scales
School of Mechanical Aerospace and Civil Engineering Turbulen Flows As noed above, using he mehods described in earlier lecures, he Navier-Sokes equaions can be discreized and solved numerically on complex
More informationMath Week 14 April 16-20: sections first order systems of linear differential equations; 7.4 mass-spring systems.
Mah 2250-004 Week 4 April 6-20 secions 7.-7.3 firs order sysems of linear differenial equaions; 7.4 mass-spring sysems. Mon Apr 6 7.-7.2 Sysems of differenial equaions (7.), and he vecor Calculus we need
More information15. Vector Valued Functions
1. Vecor Valued Funcions Up o his poin, we have presened vecors wih consan componens, for example, 1, and,,4. However, we can allow he componens of a vecor o be funcions of a common variable. For example,
More informationLecture 20: Riccati Equations and Least Squares Feedback Control
34-5 LINEAR SYSTEMS Lecure : Riccai Equaions and Leas Squares Feedback Conrol 5.6.4 Sae Feedback via Riccai Equaions A recursive approach in generaing he marix-valued funcion W ( ) equaion for i for he
More information4. Advanced Stability Theory
Applied Nonlinear Conrol Nguyen an ien - 4 4 Advanced Sabiliy heory he objecive of his chaper is o presen sabiliy analysis for non-auonomous sysems 41 Conceps of Sabiliy for Non-Auonomous Sysems Equilibrium
More informationFamilies with no matchings of size s
Families wih no machings of size s Peer Franl Andrey Kupavsii Absrac Le 2, s 2 be posiive inegers. Le be an n-elemen se, n s. Subses of 2 are called families. If F ( ), hen i is called - uniform. Wha is
More informationModeling the Dynamics of an Ice Tank Carriage
Modeling he Dynamics of an Ice Tank Carriage The challenge: To model he dynamics of an Ice Tank Carriage and idenify a mechanism o alleviae he backlash inheren in he design of he gearbox. Maplesof, a division
More informationContinuous Time Linear Time Invariant (LTI) Systems. Dr. Ali Hussein Muqaibel. Introduction
/9/ Coninuous Time Linear Time Invarian (LTI) Sysems Why LTI? Inroducion Many physical sysems. Easy o solve mahemaically Available informaion abou analysis and design. We can apply superposiion LTI Sysem
More information2.1: What is physics? Ch02: Motion along a straight line. 2.2: Motion. 2.3: Position, Displacement, Distance
Ch: Moion along a sraigh line Moion Posiion and Displacemen Average Velociy and Average Speed Insananeous Velociy and Speed Acceleraion Consan Acceleraion: A Special Case Anoher Look a Consan Acceleraion
More informationt 2 B F x,t n dsdt t u x,t dxdt
Evoluion Equaions For 0, fixed, le U U0, where U denoes a bounded open se in R n.suppose ha U is filled wih a maerial in which a conaminan is being ranspored by various means including diffusion and convecion.
More informationv A Since the axial rigidity k ij is defined by P/v A, we obtain Pa 3
The The rd rd Inernaional Conference on on Design Engineering and Science, ICDES 14 Pilsen, Czech Pilsen, Republic, Czech Augus Republic, 1 Sepember 1-, 14 In-plane and Ou-of-plane Deflecion of J-shaped
More informationModule 4: Time Response of discrete time systems Lecture Note 2
Module 4: Time Response of discree ime sysems Lecure Noe 2 1 Prooype second order sysem The sudy of a second order sysem is imporan because many higher order sysem can be approimaed by a second order model
More informationOptimal Control of Dc Motor Using Performance Index of Energy
American Journal of Engineering esearch AJE 06 American Journal of Engineering esearch AJE e-issn: 30-0847 p-issn : 30-0936 Volume-5, Issue-, pp-57-6 www.ajer.org esearch Paper Open Access Opimal Conrol
More information3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon
3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of
More informationSummary of shear rate kinematics (part 1)
InroToMaFuncions.pdf 4 CM465 To proceed o beer-designed consiuive equaions, we need o know more abou maerial behavior, i.e. we need more maerial funcions o predic, and we need measuremens of hese maerial
More informationKriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Kriging Models Predicing Arazine Concenraions in Surface Waer Draining Agriculural Waersheds Paul L. Mosquin, Jeremy Aldworh, Wenlin Chen Supplemenal Maerial Number
More information1 Differential Equation Investigations using Customizable
Differenial Equaion Invesigaions using Cusomizable Mahles Rober Decker The Universiy of Harford Absrac. The auhor has developed some plaform independen, freely available, ineracive programs (mahles) for
More informationFrom Particles to Rigid Bodies
Rigid Body Dynamics From Paricles o Rigid Bodies Paricles No roaions Linear velociy v only Rigid bodies Body roaions Linear velociy v Angular velociy ω Rigid Bodies Rigid bodies have boh a posiion and
More informationWeek 1 Lecture 2 Problems 2, 5. What if something oscillates with no obvious spring? What is ω? (problem set problem)
Week 1 Lecure Problems, 5 Wha if somehing oscillaes wih no obvious spring? Wha is ω? (problem se problem) Sar wih Try and ge o SHM form E. Full beer can in lake, oscillaing F = m & = ge rearrange: F =
More informationACE 562 Fall Lecture 4: Simple Linear Regression Model: Specification and Estimation. by Professor Scott H. Irwin
ACE 56 Fall 005 Lecure 4: Simple Linear Regression Model: Specificaion and Esimaion by Professor Sco H. Irwin Required Reading: Griffihs, Hill and Judge. "Simple Regression: Economic and Saisical Model
More informationIB Physics Kinematics Worksheet
IB Physics Kinemaics Workshee Wrie full soluions and noes for muliple choice answers. Do no use a calculaor for muliple choice answers. 1. Which of he following is a correc definiion of average acceleraion?
More informationTheory of! Partial Differential Equations-I!
hp://users.wpi.edu/~grear/me61.hml! Ouline! Theory o! Parial Dierenial Equaions-I! Gréar Tryggvason! Spring 010! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and
More informationLinear Surface Gravity Waves 3., Dispersion, Group Velocity, and Energy Propagation
Chaper 4 Linear Surface Graviy Waves 3., Dispersion, Group Velociy, and Energy Propagaion 4. Descripion In many aspecs of wave evoluion, he concep of group velociy plays a cenral role. Mos people now i
More informationKinematics and kinematic functions
ROBOTICS 01PEEQW Basilio Bona DAUIN Poliecnico di Torino Kinemaic funcions Kinemaics and kinemaic funcions Kinemaics deals wih he sudy of four funcions(called kinemaic funcions or KFs) ha mahemaically
More informationTHE MYSTERY OF STOCHASTIC MECHANICS. Edward Nelson Department of Mathematics Princeton University
THE MYSTERY OF STOCHASTIC MECHANICS Edward Nelson Deparmen of Mahemaics Princeon Universiy 1 Classical Hamilon-Jacobi heory N paricles of various masses on a Euclidean space. Incorporae he masses in he
More informationnot to be republished NCERT MATHEMATICAL MODELLING Appendix 2 A.2.1 Introduction A.2.2 Why Mathematical Modelling?
256 MATHEMATICS A.2.1 Inroducion In class XI, we have learn abou mahemaical modelling as an aemp o sudy some par (or form) of some real-life problems in mahemaical erms, i.e., he conversion of a physical
More informationBBP-type formulas, in general bases, for arctangents of real numbers
Noes on Number Theory and Discree Mahemaics Vol. 19, 13, No. 3, 33 54 BBP-ype formulas, in general bases, for arcangens of real numbers Kunle Adegoke 1 and Olawanle Layeni 2 1 Deparmen of Physics, Obafemi
More informationOrdinary Differential Equations
Lecure 22 Ordinary Differenial Equaions Course Coordinaor: Dr. Suresh A. Karha, Associae Professor, Deparmen of Civil Engineering, IIT Guwahai. In naure, mos of he phenomena ha can be mahemaically described
More information!!"#"$%&#'()!"#&'(*%)+,&',-)./0)1-*23)
"#"$%&#'()"#&'(*%)+,&',-)./)1-*) #$%&'()*+,&',-.%,/)*+,-&1*#$)()5*6$+$%*,7&*-'-&1*(,-&*6&,7.$%$+*&%'(*8$&',-,%'-&1*(,-&*6&,79*(&,%: ;..,*&1$&$.$%&'()*1$$.,'&',-9*(&,%)?%*,('&5
More informationChapter Q1. We need to understand Classical wave first. 3/28/2004 H133 Spring
Chaper Q1 Inroducion o Quanum Mechanics End of 19 h Cenury only a few loose ends o wrap up. Led o Relaiviy which you learned abou las quarer Led o Quanum Mechanics (1920 s-30 s and beyond) Behavior of
More informationThe Arcsine Distribution
The Arcsine Disribuion Chris H. Rycrof Ocober 6, 006 A common heme of he class has been ha he saisics of single walker are ofen very differen from hose of an ensemble of walkers. On he firs homework, we
More informationStochastic Model for Cancer Cell Growth through Single Forward Mutation
Journal of Modern Applied Saisical Mehods Volume 16 Issue 1 Aricle 31 5-1-2017 Sochasic Model for Cancer Cell Growh hrough Single Forward Muaion Jayabharahiraj Jayabalan Pondicherry Universiy, jayabharahi8@gmail.com
More informationEXERCISES FOR SECTION 1.5
1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler
More informationTheory of! Partial Differential Equations!
hp://www.nd.edu/~gryggva/cfd-course/! Ouline! Theory o! Parial Dierenial Equaions! Gréar Tryggvason! Spring 011! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and
More informationSliding Mode Controller for Unstable Systems
S. SIVARAMAKRISHNAN e al., Sliding Mode Conroller for Unsable Sysems, Chem. Biochem. Eng. Q. 22 (1) 41 47 (28) 41 Sliding Mode Conroller for Unsable Sysems S. Sivaramakrishnan, A. K. Tangirala, and M.
More information04. Kinetics of a second order reaction
4. Kineics of a second order reacion Imporan conceps Reacion rae, reacion exen, reacion rae equaion, order of a reacion, firs-order reacions, second-order reacions, differenial and inegraed rae laws, Arrhenius
More informationPosition, Velocity, and Acceleration
rev 06/2017 Posiion, Velociy, and Acceleraion Equipmen Qy Equipmen Par Number 1 Dynamic Track ME-9493 1 Car ME-9454 1 Fan Accessory ME-9491 1 Moion Sensor II CI-6742A 1 Track Barrier Purpose The purpose
More information