Mathematical study of uncertainties in injury caused by non-lethal weapons
Abstract
Non-lethal weapons are preferred tools when dealing with conflicts and disasters involving a large assembly with a significant fraction of civilians. In real field operations, before non-lethal area weapons are applied, it is essential that we assess the risk of causing significant injury and the chance of achieving the intended suppressing/dispersing effect. Our general goal in modeling non-lethal weapons is to obtain an accurate assessment of the injury risk reflecting the effects of many random factors and uncertainties in the situation. In the previous project, we constructed a comprehensive Monte Carlo model for numerical simulations of flash bangs on a crowd. In the proposed projects, we will focus on i) formulating mathematical frameworks that are based on physical principles and that provide insight into mechanism of the injury process, and ii) extending these models to study the blunt impact non-lethal weapons and study the Active Denial System (ADS). A key design feature of these models is the capability of incorporating peculiar characteristics of non-lethal weapons and human effects, especially, the uncertainties, randomness and bio-variabilities. The models developed will produce a probabilistic description of injury outcome and will enable us to find the optimal weapon deployment given the uncertainties/randomness in the situation.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 30, 2019
- Source ID
- N002441910014
Entities
People
- Hongyun Wang
Organizations
- United States Navy
- University of California, Santa Cruz