Solving burger’s equantion using explicit finite difference method and method of line

Burgers’ equation is a quasilinear differential equation can be solve either analytically or numerically. The analytical solutions use the Hopf-Cole transformation and reduced to diffusion equation. The focus of this research was to solve Burgers’ equation numerically by using Finite Difference Meth...

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Main Author: Tan, Carrie Shiau Ying
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:http://eprints.utm.my/id/eprint/78538/1/CarrieTanShiauMFS2017.pdf
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spelling my-utm-ep.785382018-08-27T03:22:19Z Solving burger’s equantion using explicit finite difference method and method of line 2017-06 Tan, Carrie Shiau Ying QA Mathematics Burgers’ equation is a quasilinear differential equation can be solve either analytically or numerically. The analytical solutions use the Hopf-Cole transformation and reduced to diffusion equation. The focus of this research was to solve Burgers’ equation numerically by using Finite Difference Method (FDM) and Method of Line (MOL) by using Fourth Order Runge-Kutta (RK4). The accuracy of MOL obtained solutions depends on the type of Ordinary Differential Equation (ODE) method used. The results obtained from both numerical method were compared between Hopf-Cole transformation analytical solutions. The simulations is coded by using MATLAB software. From the comparison, both methods shown to be good numerical approximation as the results obtained near to the exact solution. As the increase of spatial step size, the solutions obtained with be more accurate followed by individual methods’ restrictions. Different time and viscosity coefficient also tested to observe the changes of Burgers’ equation solutions. 2017-06 Thesis http://eprints.utm.my/id/eprint/78538/ http://eprints.utm.my/id/eprint/78538/1/CarrieTanShiauMFS2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:108560 masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic QA Mathematics
spellingShingle QA Mathematics
Tan, Carrie Shiau Ying
Solving burger’s equantion using explicit finite difference method and method of line
description Burgers’ equation is a quasilinear differential equation can be solve either analytically or numerically. The analytical solutions use the Hopf-Cole transformation and reduced to diffusion equation. The focus of this research was to solve Burgers’ equation numerically by using Finite Difference Method (FDM) and Method of Line (MOL) by using Fourth Order Runge-Kutta (RK4). The accuracy of MOL obtained solutions depends on the type of Ordinary Differential Equation (ODE) method used. The results obtained from both numerical method were compared between Hopf-Cole transformation analytical solutions. The simulations is coded by using MATLAB software. From the comparison, both methods shown to be good numerical approximation as the results obtained near to the exact solution. As the increase of spatial step size, the solutions obtained with be more accurate followed by individual methods’ restrictions. Different time and viscosity coefficient also tested to observe the changes of Burgers’ equation solutions.
format Thesis
qualification_level Master's degree
author Tan, Carrie Shiau Ying
author_facet Tan, Carrie Shiau Ying
author_sort Tan, Carrie Shiau Ying
title Solving burger’s equantion using explicit finite difference method and method of line
title_short Solving burger’s equantion using explicit finite difference method and method of line
title_full Solving burger’s equantion using explicit finite difference method and method of line
title_fullStr Solving burger’s equantion using explicit finite difference method and method of line
title_full_unstemmed Solving burger’s equantion using explicit finite difference method and method of line
title_sort solving burger’s equantion using explicit finite difference method and method of line
granting_institution Universiti Teknologi Malaysia, Faculty of Science
granting_department Faculty of Science
publishDate 2017
url http://eprints.utm.my/id/eprint/78538/1/CarrieTanShiauMFS2017.pdf
_version_ 1747818009783697408