Study on reliability and reliability sensitivity of special vehicles’ steel plate under the scenario of bullets penetrating

Jianan Cao; Yue Gao; Chuanyang Wang

doi:10.1117/12.3015830

6 February 2024 Study on reliability and reliability sensitivity of special vehicles’ steel plate under the scenario of bullets penetrating

Jianan Cao, Yue Gao, Chuanyang Wang

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Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129793U (2024) https://doi.org/10.1117/12.3015830
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

Reliability of special vehicles’ steel plate reflects their protection ability; it thus is important to evaluate and improve the reliability of their steel plate. The paper studies the influence of the steel plate’s material parameters on its reliability in bullet penetration scenarios, where a reliability measurement model and a reliability sensitivity model are established. In the reliability measurement model, a finite element model and an intrusion simulation are constructed to obtain dangerous stress values and random material variables samples, and a BP network-based limit state function and the advanced first-order second-moment method are then used to calculate the reliability indicator. Matrix differentiation method is exploited to obtain the reliability sensitivity corresponding to each material parameter. The results show that the mean and standard deviation of the Poisson ratio significantly affect the steel plate’s reliability. In addition, the material' density affects the steel plate's reliability more than the elastic modulus. Modeling reliability and reliability sensitivity improves the theory of designing and optimizing special vehicles’ bulletproof steel plates.

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

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Jianan Cao, Yue Gao, and Chuanyang Wang "Study on reliability and reliability sensitivity of special vehicles’ steel plate under the scenario of bullets penetrating", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129793U (6 February 2024); https://doi.org/10.1117/12.3015830

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KEYWORDS

Reliability

Neural networks

Education and training

Finite element methods

Failure analysis

Design and modelling

Elastic modulus

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