Numerical simulation of long rod projectile penetrating non-explosive reactive armor

Zhengang Liang, Fengbo Ma, Shushan Wang, Hongzhi Zhao

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

Abstract

In order to study the penetration ability of long rod projectile into non-explosive reactive armor, a numerical simulation model of long rod projectile penetrating into non-explosive reactive armor at different target angles is established by using LS-DYNA software, and the influence of different target angles on the penetration process of projectile is analyzed. Through the analysis of simulation results, it is known that when the target angle reaches 40 °, the impact of the target plate on the projectile body is the most serious. When the target angle is between 30 ° and 40 °, the damage degree of the projectile body is much greater than that below 30 ° with the change of the angle.

Original languageEnglish
Title of host publicationThird International Conference on Computer Vision and Data Mining, ICCVDM 2022
EditorsTao Zhang, Ting Yang
PublisherSPIE
ISBN (Electronic)9781510661363
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event3rd International Conference on Computer Vision and Data Mining, ICCVDM 2022 - Hulun Buir, China
Duration: 19 Aug 202221 Aug 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12511
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference3rd International Conference on Computer Vision and Data Mining, ICCVDM 2022
Country/TerritoryChina
CityHulun Buir
Period19/08/2221/08/22

Keywords

  • LS-DYNA
  • Long rod projectile
  • Non-explosive reactive armor

Fingerprint

Dive into the research topics of 'Numerical simulation of long rod projectile penetrating non-explosive reactive armor'. Together they form a unique fingerprint.

Cite this

Liang, Z., Ma, F., Wang, S., & Zhao, H. (2023). Numerical simulation of long rod projectile penetrating non-explosive reactive armor. In T. Zhang, & T. Yang (Eds.), Third International Conference on Computer Vision and Data Mining, ICCVDM 2022 Article 125110C (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12511). SPIE. https://doi.org/10.1117/12.2661185