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Error Budget of Non-lethal Projectiles Using Stochastic Simulations

Error Budget of Non-lethal Projectiles Using Stochastic Simulations The maximum range of non-lethal anti personnel weapons is often limited by the projectile dispersion. Indeed, beyond a given distance, the observed dispersion of projectile on the target becomes too important. Consequently, the increased risk to miss the thorax and hit the head is deemed inadmissible. Therefore, in the development of long-range non-lethal projectiles, it is of importance to identify the primary sources of delivery errors. In this paper, Monte-Carlo simulations are used to predict the projectile dispersion. These simulations are based on ballistic models developed for non-lethal weapons. The quantification of the propagation of uncertainties across the complete ballistic cycle allows for the identification of the parameters which influence the accuracy of non-lethal weapons. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Human Factors and Mechanical Engineering for Defense and Safety Springer Journals

Error Budget of Non-lethal Projectiles Using Stochastic Simulations

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Publisher
Springer Journals
Copyright
Copyright © 2019 by Springer Nature Singapore Pte Ltd.
Subject
Engineering; Mechanical Engineering; Structural Materials; Textile Engineering; Security Science and Technology
ISSN
2509-8004
eISSN
2367-2544
DOI
10.1007/s41314-019-0029-1
Publisher site
See Article on Publisher Site

Abstract

The maximum range of non-lethal anti personnel weapons is often limited by the projectile dispersion. Indeed, beyond a given distance, the observed dispersion of projectile on the target becomes too important. Consequently, the increased risk to miss the thorax and hit the head is deemed inadmissible. Therefore, in the development of long-range non-lethal projectiles, it is of importance to identify the primary sources of delivery errors. In this paper, Monte-Carlo simulations are used to predict the projectile dispersion. These simulations are based on ballistic models developed for non-lethal weapons. The quantification of the propagation of uncertainties across the complete ballistic cycle allows for the identification of the parameters which influence the accuracy of non-lethal weapons.

Journal

Human Factors and Mechanical Engineering for Defense and SafetySpringer Journals

Published: Aug 3, 2019

References