Simulation study of chamber implosion shock wave load

Mingkai Yue, Hanqing Li, Qinghua Chen, Sihong Zhe, Qiushi Wang, Shushan Wang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The distribution of shock wave load after the explosion of munitions in the compartment is an important basis for assessing the damage of munitions to the ship's compartment. Using AUTODYN software simulation study of the explosion of ammunition in the compartment, analysis of the charge and aspect ratio on the impact of shock wave load distribution in the compartment under the implosion, the results show that: (1) wall reflection overpressure enhancement times 2-3 times, the two sides of the corner overpressure enhancement times -6 times (2) when the aspect ratio of 1/1, the corner enhancement times 7.88 times, with the increase in the aspect ratio corner overpressure Gradually decreases, when the aspect ratio is 3/1, the overpressure enhancement at the corner is 3.46 times.

Original languageEnglish
Title of host publicationICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
EditorsXiansheng Ning, Yongxin Feng
PublisherVDE VERLAG GMBH
Pages734-737
Number of pages4
ISBN (Electronic)9783800757398
Publication statusPublished - 2021
Externally publishedYes
Event2021 2nd International Conference on Machine Learning and Computer Application, ICMLCA 2021 - Shenyang, Virtual, China
Duration: 17 Dec 202119 Dec 2021

Publication series

NameICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application

Conference

Conference2021 2nd International Conference on Machine Learning and Computer Application, ICMLCA 2021
Country/TerritoryChina
CityShenyang, Virtual
Period17/12/2119/12/21

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Yue, M., Li, H., Chen, Q., Zhe, S., Wang, Q., & Wang, S. (2021). Simulation study of chamber implosion shock wave load. In X. Ning, & Y. Feng (Eds.), ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application (pp. 734-737). (ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application). VDE VERLAG GMBH.