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Truss optimization using genetic algorithm and FEA
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Journal Article
Truss optimization using genetic algorithm and FEA
2021
Overview
How to optimize the quality of the truss so that the truss meets the load-bearing requirements has always been a key issue of research. In this paper, a genetic algorithm (GA) and finite element analysis (FEA) based optimization method is proposed for the size and topology of a space truss. According to the results of space truss, four kinds of components are divided and their cross-sectional areas are optimized respectively. The coded value on the chromosome in GA is used to represent the truss topology, and the adjacent value represents the adjacent truss structure. The nodal displacement and member stress of the truss are solved by finite element method to ensure the safety of the truss. All work is done using python.
Publisher
IOP Publishing
Subject
