期刊
APPLIED SCIENCES-BASEL
卷 13, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/app13010646
关键词
topology optimization; linearized buckling; buckling constraint; design-dependent loads
Stability is critical in structural design. This study proposes a model to solve the problem of buckling-constrained topology optimization under design-dependent loads. The Kreisselmeier-Steinhauser aggregation function is used to reduce multiple constraints to a single one. The proposed optimization algorithm, based on finite element and sensitivity analyses, is proven effective and reliable through numerical examples.
Stability is a critical factor in structural design. Although buckling-constrained topology optimization has been investigated in previous work, the problem has not been considered under design-dependent loads. In this study, a model of buckling constraints in topology optimization problems under design-dependent loads was proposed to solve the above problem. First, the Kreisselmeier-Steinhauser aggregation function was employed to reduce multiple constraints to a single constraint. Then, the problem was sequentially approximated using the optimality criteria method tailored to update the variables. After that, a gradient-based optimization algorithm was established based on finite element and sensitivity analyses for the topology optimization problem with design-dependent loads. Finally, four numerical examples with design-dependent loads were comparatively analyzed, with and without bucking-constrained solutions. The calculation results proved the effectiveness and reliability of the optimization algorithm. Therefore, in this study, it was suggested that the developed optimization algorithm gained improved applicability.
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