Efficient multi-level adaption methods for unstructured polyhedral computational meshes
Efficient multi-level adaption methods for unstructured polyhedral computational meshes
The definition of a computational mesh uniquely suited to a given model is a difficult and time consuming process. Using spatial and flow property quality definitions a method has been developed to adapt and optimise any given mesh. Through complex data structures, efficient surface definition and statistical analysis efficient cellular and interface manipulation routines are initiated. Cellular fission/fusion, nodal convection and interface manipulation are detailed and benefits of the adaption listed. The development of such techniques into a fully automated grid generation process is discussed.
University of Southampton
Wright, A.M.
e4d631cc-fe6a-4abf-b99d-b6e8262a0bd3
Turnock, S.R.
d6442f5c-d9af-4fdb-8406-7c79a92b26ce
1999
Wright, A.M.
e4d631cc-fe6a-4abf-b99d-b6e8262a0bd3
Turnock, S.R.
d6442f5c-d9af-4fdb-8406-7c79a92b26ce
Wright, A.M. and Turnock, S.R.
(1999)
Efficient multi-level adaption methods for unstructured polyhedral computational meshes
(Ship Science Reports, 109)
Southampton, UK.
University of Southampton
74pp.
Record type:
Monograph
(Project Report)
Abstract
The definition of a computational mesh uniquely suited to a given model is a difficult and time consuming process. Using spatial and flow property quality definitions a method has been developed to adapt and optimise any given mesh. Through complex data structures, efficient surface definition and statistical analysis efficient cellular and interface manipulation routines are initiated. Cellular fission/fusion, nodal convection and interface manipulation are detailed and benefits of the adaption listed. The development of such techniques into a fully automated grid generation process is discussed.
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109.pdf
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Published date: 1999
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Local EPrints ID: 46062
URI: http://eprints.soton.ac.uk/id/eprint/46062
PURE UUID: 3c7e4b67-fd19-4f34-ac94-87cf16678616
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Date deposited: 17 May 2007
Last modified: 16 Mar 2024 02:37
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