Analysis of damage effect of explosion shock wave on armored vehicle tracks

Dongjiang Zhang; Wei Zhang; Yunhui Hou; Jian Pan; Xuncheng Guo; Qiong Qi; Youliang Wang

doi:10.1117/12.2675397

25 May 2023 Analysis of damage effect of explosion shock wave on armored vehicle tracks

Dongjiang Zhang, Wei Zhang, Yunhui Hou, Jian Pan, Xuncheng Guo, Qiong Qi, Youliang Wang

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126364C (2023) https://doi.org/10.1117/12.2675397
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

In order to study the damage characteristics of typical armored vehicle track under shock wave load, the finite element software LS-DYNA was used to simulate the process of shock wave damage to typical armored vehicle track. Eight simulation conditions were set up to obtain the influence rules of explosion conditions and track structure on shock wave damage, and the influence of explosive charge, explosive distance and track structure on damage effect was analyzed. The results showed that when the explosive charge exploded on the track side, the track deformation and fracture occurred at the position corresponding to the explosion center level, and the damage degree of shock wave to track changed with the explosive charge and track length.

Citation Download Citation

Dongjiang Zhang, Wei Zhang, Yunhui Hou, Jian Pan, Xuncheng Guo, Qiong Qi, and Youliang Wang "Analysis of damage effect of explosion shock wave on armored vehicle tracks", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126364C (25 May 2023); https://doi.org/10.1117/12.2675397

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