Topological optimization design for support structure under multiple loading conditions

Gaili Du; Cunyi Wang

doi:10.1117/12.2685034

19 October 2023 Topological optimization design for support structure under multiple loading conditions

Gaili Du, Cunyi Wang

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127095I (2023) https://doi.org/10.1117/12.2685034
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

For the special requirements of a certain type of spacecraft equipment support. Combined with the special working performance of the bracket and the strict mechanical environment. Topology optimization technology based on variable density method is introduced into the optimal design of aerospace support structure. Topology optimization and design were carried out with the total flexibility as the objective function and the volume as the constraint function under multiple load conditions. Firstly, different load conditions of the support were analysed and studied. Secondly, the initial model was established based on the relative position relationship between the support and the mounting surface. Thirdly, the structural design method of the support was established based on the combination of topology optimization under multiple load conditions and size optimization considering the influence of strength. Finally, the simulation check shows that the fundamental frequency of the support meets the requirements of the index, and the maximum response stress is lower than the yield limit of the materials used. Therefore, under the premise of meeting the requirements of strength and stiffness, using this method to optimize the design of the support can get a reasonable structure.

Citation Download Citation

Gaili Du and Cunyi Wang "Topological optimization design for support structure under multiple loading conditions", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127095I (19 October 2023); https://doi.org/10.1117/12.2685034

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