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Structural and Multidisciplinary Optimization

Erschienen in:

26.06.2020 | Research Paper

A new Evolutionary Structural Optimization method and application for aided design to reinforced concrete components

verfasst von: Leijia Wang, Huzhi Zhang, Mingqiao Zhu, Y. Frank Chen

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 5/2020

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Abstract

The Evolutionary Structural Optimization (ESO) has been applied to find the optimal structural topology for design and construction purposes. However, its efficiency is low due to the imperfect deletion criteria. This paper presents an improved elimination criterion and the Windowed Evolutionary Structural Optimization (WESO) method. The former considers the structural average strain energy as the elimination criteria in the optimization, with the elimination rate set as a self-adaption state by an adjustable window. Thus, the problems of low optimization efficiency and distorted optimization results in the traditional ESO can be solved to a certain extent. The WESO method can then be extended and applied with a complex finite element model. It is found that the method has better optimal ability in handling discrete elements in vast structures. Compared with the other method, the WESO method has high computational efficiency and offers more stable and reliable topology than the Michell theoretical solution. Lastly, upon developing the optimal topology for a double-deck structure, it is shown that the WESO method has a great potential in civil engineering applications.

Vorheriger Artikel Multi-objective and multi-load topology optimization and experimental validation of homogenized coupled fluid flow and heat transfer and structural stiffness

Nächster Artikel Discrete topology optimization in augmented space: integrated element removal for minimum size and mesh sensitivity control

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Titel: A new Evolutionary Structural Optimization method and application for aided design to reinforced concrete components
verfasst von: Leijia Wang
Huzhi Zhang
Mingqiao Zhu
Y. Frank Chen
Publikationsdatum: 26.06.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 5/2020
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-020-02626-z

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