A process modeling and discrete simulation research method based on python

Xiangjun Cheng; Chao Li; Sining Xu; Jiachuan Cheng

doi:10.1117/12.3036494

21 July 2024 A process modeling and discrete simulation research method based on python

Xiangjun Cheng, Chao Li, Sining Xu, Jiachuan Cheng

Proceedings Volume 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024); 132190P (2024) https://doi.org/10.1117/12.3036494
Event: 4th International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2024), 2024, Kaifeng, China

Abstract

Aiming at the imperfection of the penetration performance evaluation system of inflammables and explosives, a quantitative study based on surface damage and penetration damage is proposed. The computational model under the terminal movement state is constructed, and the "damage degree" is innovatively proposed, which is used to investigate the influence of the detonation distance and the target thickness on the penetration performance. Based on the discrete event simulation, the simulation system is constructed, Based on different modules in discrete event simulation, the description and analysis of the terminal damage process of inflammables and explosivess can be achieved. By setting indicator parameters and automating simulation operation analysis, a large number of samples can be generated. Python programming is used to solve the model. The discrete event simulation results show that the penetration process of the inflammables and explosives can be quantified from the perspective of energy. The calculations show that the detonation distance and the target thickness have a greater impact on the surface damage and penetration performance, which lays a good foundation for the further study of the damage model of the inflammables and explosives on the equipment, which is beneficial for the safety of production and transportation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiangjun Cheng, Chao Li, Sining Xu, and Jiachuan Cheng "A process modeling and discrete simulation research method based on python", Proc. SPIE 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024), 132190P (21 July 2024); https://doi.org/10.1117/12.3036494

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KEYWORDS

Explosives

Computer simulations

Attenuation

Process modeling

Statistical analysis

Performance modeling

Safety

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