Peng, Yong
Zhou, Jiahao
Hou, Lin
Wang, Kui
Chen, Chao
Zhang, Honghao
Funding for this research was provided by:
National Natural Science Foundation of China (52075553)
National Natural Science Foundation of China (52105523)
National Natural Science Foundation of China (51905555)
Natural Science Foundation of Hunan (2018JJ5014)
Natural Science Foundation of Shandong (ZR2021QE249)
Hunan Science Foundation for Distinguished Young Scholars of China (2021JJ10059)
Hu-Xiang Youth Talent Program (2018RS3002)
China Postdoctoral Science Foundation Funded Project (2021M703559)
Article History
Received: 3 December 2021
Revised: 21 May 2022
Accepted: 9 June 2022
First Online: 5 August 2022
Declarations
:
: The authors declare that they have no conflict of interest.
: The required structural composition, geometric dimensions, material properties, and the simulation boundary condition of base model are illustrated in Figs. , , Tables and , and Fig. , respectively. The corresponding accurate data can be found in the text of the paper. The optimization idea is expressed in Fig. , which guides the entire optimization process. In Phase 1, the finite element analysis results of 4 schemes are reported in Fig. , and the test layout and results for sensitivity analysis are listed in Table . In Phase 2, the generation of the samples and the development of the surrogate model can be implemented using the Isight software. The finite element analysis results of DoE samples are listed in Table . The optimization algorithm can be implemented by the pseudocode in the reference give in Sect. . In Phase 3, the weight vector of each criterion can be obtained step by step using the fuzzy DEMATEL method in Sect. . In Phase 4, the final Pareto optimum can also be calculated step by step using the GRA method in Sect. .