基于粘性标准的防暴动能弹冲击损伤评估综述

Review on Impact Damage Assessment of Kinetic Energy Riot Control Projectiles Based on the Viscous Criterion

为了科学评估防暴动能弹冲击人体所造成的损伤程度,国内外学者有关防暴动能弹致伤标准的研究就从未停止。通过对防暴动能弹致伤标准之一的粘性标准相关文献的研究,梳理了当前国外研究现状,总结了现有粘性标准损伤评估存在的问题,并对防暴动能弹损伤评估方法的发展做出展望:一是耦合多维致伤标准,形成防暴动能弹冲击损伤评估组合判据;二是利用深度学习的神经卷积网络模型,获得预警算法以指导防暴动能弹的科学使用。同时提出了火炮类武器城市战条件下对远场低附带人员损伤标准的建议、量化指标和火炮战斗部材料的优化选择。为下一步国内基于粘性标准的防暴动能弹冲击损伤评估的研究提供了一定参考。

In order to scientifically evaluate the degree of injury caused by kinetic energy riot control projectiles on human body, scholars both at home and abroad have never stopped their research on the standard of injury caused by kinetic energy riot control projectiles. By studying the literature related to one of the injury assessment standards: viscosity standard, the current status of foreign research in this regard is reviewed, existing problems of the viscosity damage assessment criterion are sammarized, and the development of damage assessment methods for kinetic energy riot control projectiles is envisioned: one is the coupling multidimensional standard which forms a combined criterion for impact damage assessment of kinetic energy riot control projectiles. Second, the neural convolutional network model of deep learning is used to develop the early warning algorithm to guide the scientific use of kinetic energy riot control projectile. At the same time, suggestions, quantization indices and optimized choices of artillery warhead materials are put forward for far field low collateral personnel injury standards under urban warfare conditions where artillery weapons are used. The paper provides some reference for future domestic research on impact damage assessment of kinetic energy riot control projectiles based on the viscous criterion.