DataVXInternational Journal of Mechanics and Materials in DesignPaper
journal article·2022-06

A new bidirectional algorithm for topology optimization of thermoelastic structural problems

Mafalda Gonçalves, João A. Dias-de-Oliveira, Robertt Valente

International Journal of Mechanics and Materials in Design· Volume 18· Issue 2
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Source abstract

Abstract

Topology Optimization (TO) is a powerful tool for designing lightweight and high-performance engineering structures. However, this kind of problem is not straightforward to solve when thermal gradients are considered. Thermoelastic stress loads, caused by thermal expansion, depend on the solid material layout and change along the optimization process. This design-dependent nature brings several extra challenges to topology optimization and is the focus of this work. Numerical examples are analyzed and presented by the classical approach to TO problems, pointing out several issues related to checkerboard patterns, intermediate densities, and convergence limitations. The present work proposes an alternative procedure based on an evolutionary algorithm to overcome these issues, with a new approach to the Bi-directional Evolutionary Structural Optimization (BESO) method being suggested. Two different schemes (hard- and soft-kill) are evaluated along with a modified sensitivity number to account for thermoelastic stress loads. Finally, the results coming from the updated BESO method and from the classical approach are compared.
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Research context

OpenAlex topics: Topology Optimization in Engineering · Composite Structure Analysis and Optimization · Advanced Multi-Objective Optimization Algorithms

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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