Application of multi-objective optimization algorithm to motional simulation of bullets penetrating ballistic gelatin

MO Genlin; JIN Yongxi; LI Zhongxin; WU Zhilin

doi:10.11883/bzycj-2017-0160

Volume 38 Issue 6

Sep. 2018

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MO Genlin, JIN Yongxi, LI Zhongxin, WU Zhilin. Application of multi-objective optimization algorithm to motional simulation of bullets penetrating ballistic gelatin[J]. Explosion And Shock Waves, 2018, 38(6): 1404-1411. doi: 10.11883/bzycj-2017-0160

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MO Genlin, JIN Yongxi, LI Zhongxin, WU Zhilin. Application of multi-objective optimization algorithm to motional simulation of bullets penetrating ballistic gelatin[J]. Explosion And Shock Waves, 2018, 38(6): 1404-1411. doi: 10.11883/bzycj-2017-0160

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Application of multi-objective optimization algorithm to motional simulation of bullets penetrating ballistic gelatin

doi: 10.11883/bzycj-2017-0160

1.
Advanced Manufacturing Institute, Jiangsu University, Zhenjiang 212013, Jiangsu, China
2.
Key Laboratory of Transient Impact Technology, No. 208 Research Institute of China Ordnance Industrie, Beijing 102202, China
3.
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China

Received Date: 2017-05-05
Rev Recd Date: 2017-10-27
Publish Date: 2018-11-25

Abstract

Abstract

To find out about the wounding mechanisms of bullets penetrating human bodies, we simulated in this work the processes of bullets penetrating ballistic gelatin using the ballistic model. By taking the root mean squares of the theoretical errors of the horizontal displacements, the vertical displacements, the lateral displacements, the pitch angles and the yaw angles as the objective functions, treating the undetermined initial parameters of the bullet and the force coefficients in the ballistic model as the optimization variables, and using the Gamultiobj method, one of the multi-objective algorithms, we successfully found the set of the Pareto solutions to the objective functions, and selected the optimum solution to the optimization variables through the TOPSIS strategy from the Pareto solutions. Our studies show that the optimum solution is reliable and can present precise simulation of the motions of the 7.62 mm rifle bullet.
- multi-objective optimization,
- rifle bullet,
- gelatin,
- penetration

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References(19)

References

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