Journal Article10.1108/02644409810244129
Evolutionary structural optimisation (ESO) using a bidirectional algorithm
547
TL;DR: In this article, the authors combine the basic ESO with the additive evolutionary structural optimisation (AESO) to produce bidirectional ESO whereby material can be added and can be removed.
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Abstract: Describes development work to combine the basic ESO with the additive evolutionary structural optimisation (AESO) to produce bidirectional ESO whereby material can be added and can be removed. It will be shown that this provides the same results as the traditional ESO. This has two benefits, it validates the whole ESO concept and there is a significant time saving since the structure grows from a small initial one rather than contracting from a sometimes huge initial one where 90 per cent of the material gets removed over many hundreds of finite element analysis (FEA) evolutionary cycles. Presents a brief background to the current state of Structural Optimisation research. This is followed by a discussion of the strategies for the bidirectional ESO (BESO) algorithm and two examples are presented.
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Citations
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TL;DR: In this article, a new BESO method with a penalization parameter is developed, which can achieve convergent optimal solutions for structures with one or multiple materials, and a number of examples are presented to demonstrate the capabilities of the proposed method.
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A further review of ESO type methods for topology optimization
Xiaodong Huang,Yi Min Xie +1 more
TL;DR: In this paper, a series of numerical examples are provided to answer the critical comments and show the validity and effectiveness of the evolutionary structural optimization method and compare BESO with other well-established optimization methods.
400
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