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A study of equation solvers for linear and non-linear finite element analysis on parallel processing computersConcurrent computing environments provide the means to achieve very high performance for finite element analysis of systems, provided the algorithms take advantage of multiple processors. The authors have examined several algorithms for both linear and nonlinear finite element analysis. The performance of these algorithms on an Alliant FX/80 parallel supercomputer has been studied. For single load case linear analysis, the optimal solution algorithm is strongly problem dependent. For multiple load cases or nonlinear analysis through a modified Newton-Raphson method, decomposition algorithms are shown to have a decided advantage over element-by-element preconditioned conjugate gradient algorithms.
Document ID
19920051743
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Watson, Brian C.
(NASA Lewis Research Center Cleveland, OH, United States)
Kamat, Manohar P.
(Georgia Institute of Technology Atlanta, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1992
Subject Category
Computer Programming And Software
Report/Patent Number
AIAA PAPER 92-2478
Meeting Information
Meeting: AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
Location: Dallas, TX
Country: United States
Start Date: April 13, 1992
End Date: April 15, 1992
Accession Number
92A34367
Funding Number(s)
CONTRACT_GRANT: NAG3-895
Distribution Limits
Public
Copyright
Other

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