Type of Document	Master's Thesis
Author	Kurzen, Matthew James
Author's Email Address	kurzen@vt.edu
URN	etd-02152010-150350
Title	Discretization Error Estimation and Exact Solution Generation Using the 2D Method of Nearby Problems
Degree	Master of Science
Department	Aerospace and Ocean Engineering
Advisory Committee	Advisor Name Title Roy, Christopher J. Committee Chair McCue-Weil, Leigh S. Committee Member Tafti, Danesh K. Committee Member
Keywords	Discretization Error Method of Manufactured Solutions Computational Fluid Dynamics Method of Nearby Problems MNP
Date of Defense	2010-02-01
Availability	unrestricted
Abstract This work examines the Method of Nearby Problems as a way to generate analytical exact solutions to problems governed by partial differential equations (PDEs). The method involves generating a numerical solution to the original problem of interest, curve fitting the solution, and generating source terms by operating the governing PDEs upon the curve fit. Adding these source terms to the right-hand-side of the governing PDEs defines the nearby problem. In addition to its use for generating exact solutions the MNP can be extended for use as an error estimator. The nearby problem can be solved numerically on the same grid as the original problem. The nearby problem discretization error is calculated as the difference between its numerical solution and exact solution (curve fit). This is an estimate of the discretization error in the original problem of interest. The accuracy of the curve fits is quite important to this work. A method of curve fitting that takes local least squares fits and combines them together with weighting functions is used. This results in a piecewise fit with continuity at interface boundaries. A one-dimensional Burgers’ equation case shows this to be a better approach then global curve fits. Six two-dimensional cases are investigated including solutions to the time-varying Burgers’ equation and to the 2D steady Euler equations. The results show that the Method of Nearby Problems can be used to create realistic, analytical exact solutions to problems governed by PDEs. The resulting discretization error estimates are also shown to be reasonable for several cases examined.
Files	Filename       Size       Approximate Download Time (Hours:Minutes:Seconds)     28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access    Kurzen_MJ_T_2010.pdf 37.54 Mb 02:53:47 01:29:22 01:18:12 00:39:06 00:03:20   Kurzen_MJ_T_2010_Copyright.pdf 368.52 Kb 00:01:42 00:00:52 00:00:46 00:00:23 00:00:01

If you have questions or technical problems, please Contact DLA.