A new Evolutionary Structural Optimization method and application for aided design to reinforced concrete components
Autor: | Mingqiao Zhu, Huzhi Zhang, Leijia Wang, Y. Frank Chen |
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Rok vydání: | 2020 |
Předmět: |
Mathematical optimization
Control and Optimization Computer science 0211 other engineering and technologies Structure (category theory) Topology (electrical circuits) 02 engineering and technology Reinforced concrete Computer Graphics and Computer-Aided Design Finite element method Computer Science Applications Set (abstract data type) 020303 mechanical engineering & transports 0203 mechanical engineering Control and Systems Engineering Imperfect State (computer science) Engineering design process Software 021106 design practice & management |
Zdroj: | Structural and Multidisciplinary Optimization. 62:2599-2613 |
ISSN: | 1615-1488 1615-147X |
DOI: | 10.1007/s00158-020-02626-z |
Popis: | 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. |
Databáze: | OpenAIRE |
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