Discrete variable optimization of structures subjected to dynamic loads using equivalent static loads and metaheuristic algorithms

This paper presents a new computational procedure for optimization of structures subjected to dynamic loads. The optimization problem is formulated with discrete design variables that represent the members from a table of commercially available members. Also, the requirements in the American Institu...

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Published inOptimization and engineering Vol. 23; no. 2; pp. 643 - 687
Main Authors Al-Bazoon, Mustafa, Arora, Jasbir S.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.06.2022
Springer Nature B.V
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ISSN1389-4420
1573-2924
1573-2924
DOI10.1007/s11081-021-09599-y

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Summary:This paper presents a new computational procedure for optimization of structures subjected to dynamic loads. The optimization problem is formulated with discrete design variables that represent the members from a table of commercially available members. Also, the requirements in the American Institute of Steel Construction (AISC) manual are formulated as constraints. This results in a nondifferentiable optimization problem. In the new procedure, the dynamic load is transformed into equivalent static loads (ESLs). Then the static response optimization problem having discrete design variables is solved using a metaheuristic optimization algorithm. Three methods to calculate the ESLs are investigated. It is found that the ESL cycles cannot converge to the final design. Therefore after a few ESL cycles, the original dynamic loads need to be used in the optimization process. Four example problems are solved to analyze the procedure. Based on this analysis, it is concluded that the new procedure is more efficient compared to a procedure that does not use the ESL cycles because it reduces the total CPU effort to obtain the final design. Also, better final designs are found. The reason is that many more designs are analyzed very efficiently with the ESL procedure.
Bibliography:SourceType-Scholarly Journals-1
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ObjectType-Editorial-2
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ISSN:1389-4420
1573-2924
1573-2924
DOI:10.1007/s11081-021-09599-y