Long Characteristic Method in Space and Time for Transport Problems

Discretization and solving of the transport equation has been an area of great research where many methods have been developed. Under the deterministic transport methods, the method of characteristics, MOC, is one such discretization and solution method that has been applied to large-scale problems....

Full description

Bibliographic Details
Main Author: Pandya, Tara M.
Other Authors: Adams, Marvin
Format: Others
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7484
id ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-ETD-TAMU-2009-12-7484
record_format oai_dc
spelling ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-ETD-TAMU-2009-12-74842013-01-08T10:41:18ZLong Characteristic Method in Space and Time for Transport ProblemsPandya, Tara M.method of characteristicsneutron transporttransport discretizationlong characteristicsDiscretization and solving of the transport equation has been an area of great research where many methods have been developed. Under the deterministic transport methods, the method of characteristics, MOC, is one such discretization and solution method that has been applied to large-scale problems. Although these MOC, specifically long characteristics, LC, have been thoroughly applied to discretize and solve transport problems in the spatial domain, there is a need for an equally adequate time-dependent discretization. A method has been developed that uses LC discretization of the time and space variables in solving the transport equation. This space-time long characteristic, STLC, method is a discrete ordinates method that applies LC discretization in space and time and employs a least-squares approximation of sources such as the scattering source in each cell. This method encounters the same problems that previous spatial LC methods have dealt with concerning achieving all of the following: particle conservation, exact solution along a ray, and smooth variation in reaction rate for specific problems. However, quantities that preserve conservation in each cell can also be produced with this method and compared to the non-conservative results from this method to determine the extent to which this STLC method addresses the previous problems. Results from several test problems show that this STLC method produces conservative and non-conservative solutions that are very similar for most cases and the difference between them vanishes as track spacing is refined. These quantities are also compared to the results produced from a traditional linear discontinuous spatial discretization with finite difference time discretization. It is found that this STLC method is more accurate for streaming-dominate and scattering-dominate test problems. Also, the solution from this STLC method approaches the steady-state diffusion limit solution from a traditional LD method. Through asymptotic analysis and test problems, this STLC method produces a time-dependent diffusion solution in the thick diffusive limit that is accurate to O(E) and is similar to a continuous linear FEM discretization method in space with time differencing. Application of this method in parallel looks promising, mostly due to the ray independence along which the solution is computed in this method.Adams, Marvin2010-07-15T00:15:31Z2010-07-23T21:46:26Z2010-07-15T00:15:31Z2010-07-23T21:46:26Z2009-122010-07-14December 2009BookThesisElectronic Thesistextapplication/pdfhttp://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7484eng
collection NDLTD
language English
format Others
sources NDLTD
topic method of characteristics
neutron transport
transport discretization
long characteristics
spellingShingle method of characteristics
neutron transport
transport discretization
long characteristics
Pandya, Tara M.
Long Characteristic Method in Space and Time for Transport Problems
description Discretization and solving of the transport equation has been an area of great research where many methods have been developed. Under the deterministic transport methods, the method of characteristics, MOC, is one such discretization and solution method that has been applied to large-scale problems. Although these MOC, specifically long characteristics, LC, have been thoroughly applied to discretize and solve transport problems in the spatial domain, there is a need for an equally adequate time-dependent discretization. A method has been developed that uses LC discretization of the time and space variables in solving the transport equation. This space-time long characteristic, STLC, method is a discrete ordinates method that applies LC discretization in space and time and employs a least-squares approximation of sources such as the scattering source in each cell. This method encounters the same problems that previous spatial LC methods have dealt with concerning achieving all of the following: particle conservation, exact solution along a ray, and smooth variation in reaction rate for specific problems. However, quantities that preserve conservation in each cell can also be produced with this method and compared to the non-conservative results from this method to determine the extent to which this STLC method addresses the previous problems. Results from several test problems show that this STLC method produces conservative and non-conservative solutions that are very similar for most cases and the difference between them vanishes as track spacing is refined. These quantities are also compared to the results produced from a traditional linear discontinuous spatial discretization with finite difference time discretization. It is found that this STLC method is more accurate for streaming-dominate and scattering-dominate test problems. Also, the solution from this STLC method approaches the steady-state diffusion limit solution from a traditional LD method. Through asymptotic analysis and test problems, this STLC method produces a time-dependent diffusion solution in the thick diffusive limit that is accurate to O(E) and is similar to a continuous linear FEM discretization method in space with time differencing. Application of this method in parallel looks promising, mostly due to the ray independence along which the solution is computed in this method.
author2 Adams, Marvin
author_facet Adams, Marvin
Pandya, Tara M.
author Pandya, Tara M.
author_sort Pandya, Tara M.
title Long Characteristic Method in Space and Time for Transport Problems
title_short Long Characteristic Method in Space and Time for Transport Problems
title_full Long Characteristic Method in Space and Time for Transport Problems
title_fullStr Long Characteristic Method in Space and Time for Transport Problems
title_full_unstemmed Long Characteristic Method in Space and Time for Transport Problems
title_sort long characteristic method in space and time for transport problems
publishDate 2010
url http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7484
work_keys_str_mv AT pandyataram longcharacteristicmethodinspaceandtimefortransportproblems
_version_ 1716504748606095360