Development of genetic algorithm based approach for structural optimisation

This thesis investigates the applicability of artificial intelligence based approach to structural optimisation design problem solving. Specifically, a hybrid approach integrating the genetic algorithm based search strategy with heuristic design methodology is presented. This approach is used for th...

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Main Author:	Yang, Jia Ping
Other Authors:	Soh, Chee Kiong
Format:	Theses and Dissertations
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Civil engineering::Structures and design
Online Access:	http://hdl.handle.net/10356/19438
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-19438
record_format	dspace
spelling	sg-ntu-dr.10356-194382023-03-03T19:22:46Z Development of genetic algorithm based approach for structural optimisation Yang, Jia Ping Soh, Chee Kiong School of Civil and Structural Engineering DRNTU::Engineering::Civil engineering::Structures and design This thesis investigates the applicability of artificial intelligence based approach to structural optimisation design problem solving. Specifically, a hybrid approach integrating the genetic algorithm based search strategy with heuristic design methodology is presented. This approach is used for the least-weight design of discrete structures subject to structural performance constraints related to member allowable stress, joint displacement and member buckling computed via finite element analysis. The cross-sectional areas, location and topology of the structural members are described by the sizing, geometric and topological variables respectively. Doctor of Philosophy (CSE) 2009-12-11T09:15:40Z 2009-12-11T09:15:40Z 1996 1996 Thesis http://hdl.handle.net/10356/19438 en NANYANG TECHNOLOGICAL UNIVERSITY 245 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Civil engineering::Structures and design
spellingShingle	DRNTU::Engineering::Civil engineering::Structures and design Yang, Jia Ping Development of genetic algorithm based approach for structural optimisation
description	This thesis investigates the applicability of artificial intelligence based approach to structural optimisation design problem solving. Specifically, a hybrid approach integrating the genetic algorithm based search strategy with heuristic design methodology is presented. This approach is used for the least-weight design of discrete structures subject to structural performance constraints related to member allowable stress, joint displacement and member buckling computed via finite element analysis. The cross-sectional areas, location and topology of the structural members are described by the sizing, geometric and topological variables respectively.
author2	Soh, Chee Kiong
author_facet	Soh, Chee Kiong Yang, Jia Ping
format	Theses and Dissertations
author	Yang, Jia Ping
author_sort	Yang, Jia Ping
title	Development of genetic algorithm based approach for structural optimisation
title_short	Development of genetic algorithm based approach for structural optimisation
title_full	Development of genetic algorithm based approach for structural optimisation
title_fullStr	Development of genetic algorithm based approach for structural optimisation
title_full_unstemmed	Development of genetic algorithm based approach for structural optimisation
title_sort	development of genetic algorithm based approach for structural optimisation
publishDate	2009
url	http://hdl.handle.net/10356/19438
_version_	1759855821138690048

Development of genetic algorithm based approach for structural optimisation

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