Simulation Analysis of Dynamic Damage Probability Modelling for Laser Systems

Jiaowei Shi, Shiyan Sun (), Jun Xie and Chaobing Zheng
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Jiaowei Shi: Weapon Engineering College, Naval University of Engineering, Wuhan 430034, China
Shiyan Sun: Weapon Engineering College, Naval University of Engineering, Wuhan 430034, China
Jun Xie: Weapon Engineering College, Naval University of Engineering, Wuhan 430034, China
Chaobing Zheng: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China

Mathematics, 2023, vol. 11, issue 19, 1-18

Abstract: The paper proposes a method that analyses the dynamic damage probability of laser systems to address the shortcomings of the quantitative model for the damage probability of laser systems. Firstly, the far-field energy density distribution model is constructed according to the power spectrum inversion method. Then, the instantaneous on-target spot power density distribution is equivalently portrayed based on the combination of the far-field power density and the missile target characteristics. Next, the instantaneous on-target spot is combined with the tracking and aiming error to obtain the probability distribution of the energy density of the long-period on-target spot. Finally, the temperature probability distribution is obtained by analyzing the relation between the target energy density and the temperature of the inner wall of the warhead. Consequently, the damage probability was calculated. The simulation shows that there is a unique maximum damage probability when the target is flying in a straight line and the laser system strikes the missile sideways. The method can provide support for the shooting timing of high-energy laser systems.

Keywords: on-target power density; on-target energy density; tracking and aiming error; dynamic damage probability (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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