Optimal selection of topologies for the minimum-weight design of continuum structures with stress constraints

Article


Liang, Qing Quan, Xie, Yi Min and Steven, Grant P.. 1999. "Optimal selection of topologies for the minimum-weight design of continuum structures with stress constraints ." Proceedings of the Institution of Mechanical Engineers Part C: Journal of Mechanical Engineering Science. 213 (8), pp. 755-762. https://doi.org/10.1243/0954406991522374
Article Title

Optimal selection of topologies for the minimum-weight design of continuum structures with stress constraints

ERA Journal ID3711
Article CategoryArticle
AuthorsLiang, Qing Quan (Author), Xie, Yi Min (Author) and Steven, Grant P. (Author)
Journal TitleProceedings of the Institution of Mechanical Engineers Part C: Journal of Mechanical Engineering Science
Journal Citation213 (8), pp. 755-762
Number of Pages24
Year1999
Place of PublicationEngland, UK
ISSN0954-4062
2041-2983
Digital Object Identifier (DOI)https://doi.org/10.1243/0954406991522374
Web Address (URL)http://pep.metapress.com/content/119771/
Abstract

This paper presents a method for assisting the optimal selection of topologies for the minimum-weight design of continuum structures subject to stress constraints by using the performance index (PI). A performance index is developed for evaluating the efficiency of structural topologies based on the scaling design approach. This performance index is incorporated in the evolutionary structural optimization (ESO) method to monitor the optimization process when gradually removing inefficient material from the structure. The optimal topology can be identified from the performance index history. Various structures with stress and height constraints are investigated by using this performance index, which is also employed to compare the efficiency of structural topologies generated by different optimization methods. It is shown that the proposed performance index is capable of measuring the efficiency of structural topologies obtained by various structural optimization methods and is a valuable design tool for engineers in selecting optimal topologies in structural design.

KeywordsForm factor, optimization, efficiency, ranking, performance index, topology, stress constraint, evolutionary structural optimization, finite element analysis
ANZSRC Field of Research 2020400510. Structural engineering
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsVictoria University of Technology
University of Sydney
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