Simulation Calculation of Typical Explosive Column Falling Impact

Xinying Wang, Siyang Li, Shushan Wang*, Yuxin Gao

*Corresponding author for this work

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

Abstract

In order to study the influence of the impact force on the safety of explosives during the fall of a combatant part containing water, combined with experimental test methods, a simplified simulation test model of a explosive pillar drop impact was developed using ANSYS/AUTODYN software. Meanwhile, setting material parameters, imposing boundary conditions and selecting the best observation point, obtain pressure curves for different heights, angles and shell thicknesses, a clear view of the changes in the physical quantities of the explosive column as it falls. It can be seen that the higher the height, the greater the variation in the internal velocity of the pillar and the greater the pressure exerted. The central pressure of the pillar reaches 1.5×10 5 KPa. The pressure is minimum when the explosive column falls vertically and hits the target plate, and maximum when it falls parallel to the target plate. The velocity of fall of a cased charge is about four times greater than the pressure of fall of an uncased charge. The thicker the casing, the lower the pressure on the pillar and the more effective the protection against explosives.

Original languageEnglish
Title of host publicationICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
EditorsXiansheng Ning, Yongxin Feng
PublisherVDE VERLAG GMBH
Pages1020-1025
Number of pages6
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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