Author(s)

Zhengyi Pu ¹

Affiliation(s)

¹ College of General Education, Sichuan Vocational and Technical College, Suining, China

Corresponding Author

Zhengyi Pu

ABSTRACT

This paper focuses on the optimization problem of depth bomb hit probability in submarine anti-submarine warfare [1]. Using the probability model and Monte Carlo method, the relationship between the bomb hit probability and the coordinates of the bomb drop point, and the detonation depth of the fixed depth fuse is analyzed [2,3]. Firstly, a probabilistic model is constructed to generate random samples, and simulation experiments are conducted to determine the maximum value of the probability; secondly, the bombing scheme that maximizes the hit rate of the projectile is found, and the corresponding expression for the maximum hit probability is given; finally, the results show the optimized bombing scheme and its corresponding maximum hit probability under different conditions. It is found that under the condition of error-free positioning, the optimal solution is the specific coordinates and detonation depth, and the hit probability is 0.0346, and under the condition of error-based positioning, the hit probability is 0.0269 after the optimal detonation depth is adjusted, and the hit probability can be increased to 0.2146 by adjusting the detonation depth and the layout of the depth bombs when multiple depth bombs are simultaneously dropped, which is of practical value for enhancing the effectiveness of anti-submarine warfare.

KEYWORDS

Deep-water bomb, Drop hit probability, Monte Carlo method, Anti-submarine warfare

CITE THIS PAPER

Zhengyi Pu, Optimization Study of Depth Bomb Hit Probability Based on Monte Carlo Method. Transactions on Computational and Applied Mathematics (2024) Vol. 4: 119-127. DOI: http://dx.doi.org/10.23977/tracam.2024.040116.

REFERENCES

[1] Cheng Gang. Anti-submarine aircraft, the nemesis of submarines [J]. Military Digest, 2022, (14): 16-19.
[2] XIN Yu, YANG Weimin, WANG Zocai, et al. Structural nonlinear probabilistic model identification and reliability assessment based on variational Bayesian theory[J/OL]. Engineering Mechanics, 1-16 [2024-09-26]. http://kns.cnki.net/ kcms/detail/11.2595.O3.20240918.1640.034.html.
[3] Q. Tang, X. Meng. Monte Carlo simulation model based on partial uniform sampling[J/OL]. Optical Communication Technology, 1-11 [2024-09-26]. http://kns.cnki.net/kcms/detail/45.1160.tn. 20240914.1027.002.html.
[4] Shendong Zhao, Richong Nori, Juntaki Cao, et al. Analysis on the operational effectiveness of hovering aerial self-guided deep bomb for underwater submarine attack [J]. Journal of Underwater Unmanned Systems, 2023, 31(05): 778-782.
[5] Xinhui Li. Enterprise value assessment of YWL based on Monte Carlo simulation and improved EVA model [J]. Modern Industrial Economy and Informatization, 2024, 14(07): 19-21. DOI: 10. 16525/j.cnki.14-1362/n.2024.07.007. 

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