Numerical simulation of the impact of ground reflected shock waves on the high explosive cloud

Rui Gao; Bairong Wang; Jin Gu; Yijie Hou; Xia Luo

doi:10.1117/12.3029161

22 May 2024 Numerical simulation of the impact of ground reflected shock waves on the high explosive cloud

Rui Gao, Bairong Wang, Jin Gu, Yijie Hou, Xia Luo

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 1317628 (2024) https://doi.org/10.1117/12.3029161
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

The lifting parameters of high explosive cloud are important data source item for calculating explosive cloud diffusion and serve as the start for subsequent cloud diffusion calculations. Furthermore, lifting cloud of air explosion and near-surface explosion is significantly different due to the impact of ground reflected shock waves. In this paper, numerical simulation is applied to calculate the floating cloud which is from high explosive explosion. Two numerical examples are presented with comparisons from the lifting cloud of air explosion and the explosion under the effect of ground reflected shock wave. The simulating results show that the ground reflected shock wave makes significant difference to explosive cloud, and accelerates the turbulent motion which make more serious exchange between floating cloud and surrounding medium. Major physics of the cloud lifting from high explosion can be well captured in the simulation, and lift parameters of high explosive cloud can give good prediction for calculating cloud diffusion and settlement.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rui Gao, Bairong Wang, Jin Gu, Yijie Hou, and Xia Luo "Numerical simulation of the impact of ground reflected shock waves on the high explosive cloud", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 1317628 (22 May 2024); https://doi.org/10.1117/12.3029161

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KEYWORDS

Clouds

Explosives

Reflection

Numerical simulations

Diffusion

Computer simulations

Temperature metrology

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