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Scalable substructuring methods for ...

Chen, Po-Shu.

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Scalable substructuring methods for high performance structural analysis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Scalable substructuring methods for high performance structural analysis./
Author:	Chen, Po-Shu.
Description:	142 p.
Notes:	Source: Dissertation Abstracts International, Volume: 58-03, Section: B, page: 1381.
Contained By:	Dissertation Abstracts International58-03B.
Subject:	Applied Mechanics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9725714
ISBN:	9780591348071

Scalable substructuring methods for high performance structural analysis.
Chen, Po-Shu.

Scalable substructuring methods for high performance structural analysis. - 142 p.

Source: Dissertation Abstracts International, Volume: 58-03, Section: B, page: 1381.

Thesis (Ph.D.)--University of Colorado at Boulder, 1997.

The purpose of this research is to develop a fast and efficient parallel solver for large-scale, symmetric, positive semi-definite systems of equations that arise from finite element structural applications. Emphasis is on numerical and parallel scalability, with respect to the problem and machine size. The thesis begins by motivating the need for a robust, parallel iterative solver, highlighting the potential of substructuring for achieving this goal and justifying the selection of the FETI method, which Farhat and Roux originally developed as a basis for this research work. The remainder of the thesis defines and concerns the specific extensions of the FETI method.

ISBN: 9780591348071Subjects--Topical Terms:

1018410
Applied Mechanics.

Scalable substructuring methods for high performance structural analysis.
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100 1 $a Chen, Po-Shu. $3 1922292
245 1 0 $a Scalable substructuring methods for high performance structural analysis.
300 $a 142 p.
500 $a Source: Dissertation Abstracts International, Volume: 58-03, Section: B, page: 1381.
500 $a Director: Charbel Farhat.
502 $a Thesis (Ph.D.)--University of Colorado at Boulder, 1997.
520 $a The purpose of this research is to develop a fast and efficient parallel solver for large-scale, symmetric, positive semi-definite systems of equations that arise from finite element structural applications. Emphasis is on numerical and parallel scalability, with respect to the problem and machine size. The thesis begins by motivating the need for a robust, parallel iterative solver, highlighting the potential of substructuring for achieving this goal and justifying the selection of the FETI method, which Farhat and Roux originally developed as a basis for this research work. The remainder of the thesis defines and concerns the specific extensions of the FETI method.
520 $a The FETI method is a Lagrange multiplier-based domain decomposition method for the parallel, iterative solution of self-adjoint, elliptic, partial differential equations semi-discretized by the finite element method. Its original version is mathematically optimal for second-order elasticity problems. The purpose of this thesis is to develop mathematically optimal extensions to elastodynamics problems, fourth-order plate and shell problems and problems with multiple right-hand sides, because these are the most frequent problems in aerospace structural engineering. Several static and transient structural analyses of realistic aerospace systems validate these extensions and illustrate their superior performance. These realistic aerospace systems run on several parallel computers, including the Paragon X/PS and IBM SP/2 parallel processors.
590 $a School code: 0051.
650 4 $a Applied Mechanics. $3 1018410
650 4 $a Engineering, Aerospace. $3 1018395
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0346
690 $a 0538
690 $a 0548
710 2 0 $a University of Colorado at Boulder. $3 1019435
773 0 $t Dissertation Abstracts International $g 58-03B.
790 1 0 $a Farhat, Charbel, $e advisor
790 $a 0051
791 $a Ph.D.
792 $a 1997
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9725714