Machine Learning-based Design of Software to Calculate the Fragmentation Power of the Combat Section of an Explosive Killing Shell

Hong Zhi Zhao, Zhi Yong Bi, Xu Ceng, Zhao Ming Tan, Shu Shan Wang*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

The fragmentation power is an important parameter to characterize the performance of a combatant. At present, the fragmentation power is mainly calculated by empirical formulae or simulation analysis, which has problems such as large calculation volume, slow calculation speed and low efficiency. In this paper, a machine learning-based method for calculating the lethality of explosives is proposed. On the basis of analyzing the structure and material of explosive kill combat section, combining theoretical calculation data, simulation data and experimental data, the training model of machine learning is constructed, and by introducing BP neural network algorithm, the rapid calculation of debris dynamic field characterization parameters is finally realized.

Original languageEnglish
Title of host publicationICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
EditorsXiansheng Ning, Yongxin Feng
PublisherVDE VERLAG GMBH
Pages264-268
Number of pages5
ISBN (Electronic)9783800757398
Publication statusPublished - 2021
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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Zhao, H. Z., Bi, Z. Y., Ceng, X., Tan, Z. M., & Wang, S. S. (2021). Machine Learning-based Design of Software to Calculate the Fragmentation Power of the Combat Section of an Explosive Killing Shell. In X. Ning, & Y. Feng (Eds.), ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application (pp. 264-268). (ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application). VDE VERLAG GMBH.