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Data-driven structural topology optimization has attracted much attention recently, which achieving structural topology optimization by learning a large number of structural topology optimization design processes to establish a topology optimization model. It is summarized the development process of structural topology optimization and reviewed the development status and research progress of structural topology optimization. The development process is divided into four stages, and each stage is analyzed and summarized.The data-driven structural topology optimization technology is introduced in details. According to the establishment of different models, the topology optimization technology is classified into convolutional neural network, support vector regression, generative adversarial network and bionic algorithm. Combined with the research results of each method, the application of data-driven structure topology optimization technology in engineering design is introduced, and the future development tendency is prospected. The challenges and problems to be solved in the future of data-driven structural topology optimization are pointed out, which can provide reference for the future development of structural topology optimization.
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Basic Information:
DOI：10.16358/j.issn.1009-1300.20230546
China Classification Code:TB11;TP18
Citation Information:
[1]Bai Wencan,Liu Li,Tian Weiyong.Review of data-driven structural topology optimization technology[J].Tactical Missile Technology,2023,No.222(06):1-12+33.DOI:10.16358/j.issn.1009-1300.20230546.
2023-11-15
2023-11-15