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Optimization of laminated stacking sequence for buckling load maximization by genetic algorithmThe use of a genetic algorithm to optimize the stacking sequence of a composite laminate for buckling load maximization is studied. Various genetic parameters including the population size, the probability of mutation, and the probability of crossover are optimized by numerical experiments. A new genetic operator - permutation - is proposed and shown to be effective in reducing the cost of the genetic search. Results are obtained for a graphite-epoxy plate, first when only the buckling load is considered, and then when constraints on ply contiguity and strain failure are added. The influence on the genetic search of the penalty parameter enforcing the contiguity constraint is studied. The advantage of the genetic algorithm in producing several near-optimal designs is discussed.
Document ID
19920051915
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Le Riche, Rodolphe
(NASA Langley Research Center Hampton, VA, United States)
Haftka, Raphael T.
(Virginia Polytechnic Institute and State University Blacksburg, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1992
Subject Category
Structural Mechanics
Report/Patent Number
AIAA PAPER 92-2314
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
92A34539
Funding Number(s)
CONTRACT_GRANT: NAG1-168
Distribution Limits
Public
Copyright
Other

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