Steel and Composite Structures

  • 제44권2호
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  • Pages.211-224
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  • 2022
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Multi-objective geometry optimization of composite sandwich shielding structure subjected to underwater shock waves

  • Zhou, Hao (National Special Superfine Powder Engineering Research Center, Nanjing University of Science and Technology) ;
  • Guo, Rui (School of Mechanical Engineering, Nanjing University of Science and Technology) ;
  • Jiang, Wei (National Special Superfine Powder Engineering Research Center, Nanjing University of Science and Technology) ;
  • Liu, Rongzhong (School of Mechanical Engineering, Nanjing University of Science and Technology) ;
  • Song, Pu (Xi'an Modern Chemistry Research Institute)
  • 투고 : 2020.11.28
  • 심사 : 2022.07.08
  • 발행 : 2022.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

Multi-objective optimization was conducted to obtain the optimal configuration of a composite sandwich structure with honeycomb-foam hybrid core subjected to underwater shock waves, which can fulfill the demand for light weight and energy efficient design of structures against underwater blast. Effects of structural parameters on the dynamic response of the sandwich structures subjected to underwater shock waves were analyzed numerically, from which the correlations of different parameters to the dynamic response were determined. Multi-objective optimization of the structure subjected to underwater shock waves of which the initial pressure is 30 MPa was conducted based on surrogate modelling method and genetic algorithm. Moreover, optimization results of the sandwich structure subjected to underwater shock waves with different initial pressures were compared. The research can guide the optimal design of composite sandwich structures subjected to underwater shock waves.

키워드

과제정보

This research was supported by National Natural Science Foundation of China (Grant Nos. 12102199 and 11972197). Hao Zhou is also very grateful for the help of the colleagues in his research group during the experiments.

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