The WN adaptive method for numerical solution of particle transport problems

The source and nature, as well as the history of ray-effects, is described. A benchmark code, using piecewise constant functions in angle and diamond differencing in space, is derived in order to analyze four sample problems. The results of this analysis are presented showing the ray effects and how...

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Bibliographic Details
Main Author: Watson, Aaron Michael
Other Authors: Nelson, Paul
Format: Others
Language:en_US
Published: Texas A&M University 2006
Subjects:
Online Access:http://hdl.handle.net/1969.1/3133
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spelling ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-31332013-01-08T10:38:03ZThe WN adaptive method for numerical solution of particle transport problemsWatson, Aaron Michaeladaptive methodstransport theoryray effectswavelets partial differential equationsThe source and nature, as well as the history of ray-effects, is described. A benchmark code, using piecewise constant functions in angle and diamond differencing in space, is derived in order to analyze four sample problems. The results of this analysis are presented showing the ray effects and how increasing the resolution (number of angles) eliminates them. The theory of wavelets is introduced and the use of wavelets in multiresolution analysis is discussed. This multiresolution analysis is applied to the transport equation, and equations that can be solved to calculate the coefficients in the wavelet expansion for the angular flux are derived. The use of thresholding to eliminate wavelet coefficients that are not required to adequately solve a problem is then discussed. An iterative sweeping algorithm, called the SN-WN method, is derived to solve the wavelet-based equations. The convergence of the SN-WN method is discussed. An algorithm for solving the equations is derived, by solving a matrix within each cell directly for the expansion coefficients. This algorithm is called the CWWN method. The results of applying the CW-WN method to the benchmark problems are presented. These results show that more research is needed to improve the convergence of the SN-WN method, and that the CW-WN method is computationally too costly to be seriously considered.Texas A&M UniversityNelson, Paul2006-04-12T16:03:04Z2006-04-12T16:03:04Z2005-122006-04-12T16:03:04ZBookThesisElectronic Dissertationtext2957364 byteselectronicapplication/pdfborn digitalhttp://hdl.handle.net/1969.1/3133en_US
collection NDLTD
language en_US
format Others
sources NDLTD
topic adaptive methods
transport theory
ray effects
wavelets partial differential equations
spellingShingle adaptive methods
transport theory
ray effects
wavelets partial differential equations
Watson, Aaron Michael
The WN adaptive method for numerical solution of particle transport problems
description The source and nature, as well as the history of ray-effects, is described. A benchmark code, using piecewise constant functions in angle and diamond differencing in space, is derived in order to analyze four sample problems. The results of this analysis are presented showing the ray effects and how increasing the resolution (number of angles) eliminates them. The theory of wavelets is introduced and the use of wavelets in multiresolution analysis is discussed. This multiresolution analysis is applied to the transport equation, and equations that can be solved to calculate the coefficients in the wavelet expansion for the angular flux are derived. The use of thresholding to eliminate wavelet coefficients that are not required to adequately solve a problem is then discussed. An iterative sweeping algorithm, called the SN-WN method, is derived to solve the wavelet-based equations. The convergence of the SN-WN method is discussed. An algorithm for solving the equations is derived, by solving a matrix within each cell directly for the expansion coefficients. This algorithm is called the CWWN method. The results of applying the CW-WN method to the benchmark problems are presented. These results show that more research is needed to improve the convergence of the SN-WN method, and that the CW-WN method is computationally too costly to be seriously considered.
author2 Nelson, Paul
author_facet Nelson, Paul
Watson, Aaron Michael
author Watson, Aaron Michael
author_sort Watson, Aaron Michael
title The WN adaptive method for numerical solution of particle transport problems
title_short The WN adaptive method for numerical solution of particle transport problems
title_full The WN adaptive method for numerical solution of particle transport problems
title_fullStr The WN adaptive method for numerical solution of particle transport problems
title_full_unstemmed The WN adaptive method for numerical solution of particle transport problems
title_sort wn adaptive method for numerical solution of particle transport problems
publisher Texas A&M University
publishDate 2006
url http://hdl.handle.net/1969.1/3133
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