Optimal design of armored vehicle protective components under blast impact

Traditional protective structure optimization design processes do not often consider uncertainty factors, such as structural dimensions. This causes the optimization results to be near the constraint boundaries and leads to insufficient reliability and robustness of the design. In this study, an accurate finite element model was obtained for armored vehicle protective component design through a physical explosion test and a simulation of the whole vehicle. Subsequently, uncertainty optimization, reliability optimization, and robustness optimization were introduced into the optimization process, and the uncertainty optimization results were analyzed and compared for different constraint degrees. The results show that the reliability of the results obtained from traditional deterministic optimization was low. Introducing the reliability optimization and robustness optimization design methods into the protective component design significantly improved the reliability of the protective component results.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2024-09-20
DOI
https://doi.org/10.1177/09544070241275377
Citations
1
Primary Topic
Structural Response to Dynamic Loads
Type
article
Field-Weighted Citation Impact
0.26

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article

Optimal design of armored vehicle protective components under blast impact

Weiwei Qin, Xiaowang Sun, Jiahao He, Xianhui Wang et al.
1 citations
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Structural Response to Dynamic Loads
0.26
article

Optimal design of armored vehicle protective components under blast impact

Weiwei Qin, Xiaowang Sun, Jiahao He, Xianhui Wang, Mingxing Li, Mengyang Wu, Tiaoqi Fu, Tuzao Yao
article en
1 citations

Abstract

Traditional protective structure optimization design processes do not often consider uncertainty factors, such as structural dimensions. This causes the optimization results to be near the constraint boundaries and leads to insufficient reliability and robustness of the design. In this study, an accurate finite element model was obtained for armored vehicle protective component design through a physical explosion test and a simulation of the whole vehicle. Subsequently, uncertainty optimization, reliability optimization, and robustness optimization were introduced into the optimization process, and the uncertainty optimization results were analyzed and compared for different constraint degrees. The results show that the reliability of the results obtained from traditional deterministic optimization was low. Introducing the reliability optimization and robustness optimization design methods into the protective component design significantly improved the reliability of the protective component results.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile EngineeringVol. 239(10-11)
Nanjing University of Science and Technology (CN)
National Natural Science Foundation of China, National Fund for Fostering Talents of Basic Science
Openalex Percentile: Top 41%
Structural Response to Dynamic Loads
0.26
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