Armor's ballistic resistance simulation using stochastic process modeling. (April 2017)

• Record Type: Journal Article
• Authors: Tahenti, Beya; Coghe, Frederik; Nasri, Rachid; Pirlot, Marc
• Is Part Of: International journal of impact engineering. Volume 102(2017:Apr.)
• Page Start: 140
• Page End: 146
• Publication Date: 2017-04
• Subjects: Stochastic modeling -- Penetration process -- Ballistic resistance -- Projectile impact -- Perforation probability -- V50; Impact -- Periodicals; Shock (Mechanics) -- Periodicals; Impact -- Périodiques; Choc (Mécanique) -- Périodiques; Impact; Shock (Mechanics); Periodicals; 620.1125
• DOI: 10.1016/j.ijimpeng.2016.12.009
• Languages: English
• ISSNs: 0734-743X

Abstract

Highlights: The ballistic resistance is modeled using the stochastic Brownian motion approach. The computed ballistic limit is comparable to the estimations using existing methods. The perforation probability varies from 0 to 1 in a bounded impact velocity interval. The perforation probability can be computed for each impact velocity. Abstract: For many years, ballistic performance evaluation of protection structures makes use of the estimation of the ballistic limit velocity V 50, the projectile impact velocity at which there is a 50 percent probability of perforation of the assessed structure. In recent years, enhancements to risk assessment required the estimation of the entire curve of the probability of perforation. Extreme values of complete perforation (partial penetration) at low (high) impact velocity are rare events of the studied system with binary response experiments. Existing methods have comparable accuracy in estimating the V 50 velocity, and use the normality assumption to estimate any percentile of interest Vx . This contribution proposes to model the projectile evolution into the target as a diffusion process using the Brownian motion process. A Chi-square and Kolmogorov–Smirnov goodness of fit test is applied to estimate the drift and diffusion coefficients of the developed stochastic differential equation based on the Monte Carlo simulated sample and the experimental one. Under the assumption of constant drift and diffusion coefficients, the estimated value of the projectile deceleration matches its analytically computed value depending on the system parameters and configuration. The established model presents a comparable predictive ability, as existing methods, of the V 50 with the advantage of defining a bounded velocity interval in which the perforation probability varies from zero to one in accordance with the physical behavior of the system. Furthermore, the fitted model provides the probability perforation of the structure at any impact velocity with an estimate of its variability.