Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/19438
Title: Development of genetic algorithm based approach for structural optimisation
Authors: Yang, Jia Ping
Keywords: DRNTU::Engineering::Civil engineering::Structures and design
Issue Date: 1996
Abstract: 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.
URI: http://hdl.handle.net/10356/19438
Rights: NANYANG TECHNOLOGICAL UNIVERSITY
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CEE Theses

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