防暴弹室内爆炸扩散试验及刺激剂浓度预测  

Indoor Explosion Diffusion Experiment of Anti-riot Bomb and Prediction of Irritant Concentration

作　　者：张延泽 肖凯涛[3] 宋伟伟[3] 秦健[1,4] 迟卉 黄瑞源 ZHANG Yan-ze;XIAO Kai-tao;SONG Wei-wei;QIN Jian;CHI Hui;HUANG Rui-yuan(National Key Laboratory of Transient Physics,Nanjing University of Science and Technology,Nanjing 210094,China;College of Civil Engineering,Fuzhou University,Fuzhou 350000,China;Research Institution of Chemical Defense,Beijing 102205,China;Naval Research Academy,Beijing 100161,China)

机构地区：[1]南京理工大学瞬态物理国家重点实验室,江苏210094 [2]福州大学土木学院,福州350000 [3]防化研究院,北京102205 [4]海军研究院,北京100161

出　　处：《爆破》2021年第4期163-172,共10页Blasting

基　　金：军内科研重点项目(JK20172A04231);国家自然科学基金项目(11402266);中国空气动力研究与发展中心超高速碰撞研究中心开放基金(20200203)。

摘　　要：为研究室内环境中不同初始风场条件对刺激剂防暴弹威力效能的影响,在尺寸为10.9 m×9.1 m×3.28 m的平房内开展了三种不同送风速度下(1.0 m/s、1.2 m/s和1.5 m/s)OC刺激剂防暴弹的爆炸扩散试验。首先在室内空间中布置36个采样点,采用智能多路气体采样器采集刺激剂并计算采样点浓度。接着对不同风速、不同时间、不同空间位置的试验浓度数据进行分析,从而得到爆炸后刺激剂浓度在时空中的分布规律及其在不同送风条件下的影响规律。可得到如下结论:刺激剂在爆炸作用下形成的气溶胶会受到室内风场的影响呈现浓度差,浓度由上风口至下风口逐渐升高;刺激剂气溶胶颗粒受重力影响向低处聚集,室内低处刺激剂浓度较高;初始流场的风速大小对刺激剂气溶胶颗粒扩散效果影响较大,一定范围内,风速越大刺激剂扩散速度越快。在此基础上,以试验数据作为训练样本,采用BP神经网络方法建立了1.0~1.5 m/s速度范围内的浓度预测模型。通过对比试验数据得到该模型预测误差为5%,并应用该模型开展了相关预测,结果表明:在送风速度为1.0~1.5 m/s的范围内,测点的浓度值随风速的增加而基本呈线性降低,且高度1.5 m的测点浓度值高于高度为0.5 m的测点,2.5 m高度处的测点浓度最低。In a 10.9 m×9.1 m×3.28 m bungalow,the explosion diffusion test of the OC irritant anti-riot bombs was carried out under different air inlet speed(1.0 m/s,1.2 m/s and 1.5 m/s)for the purpose of studying the effect of initial wind field conditions on the effectiveness of irritant anti-riot bombs in an indoor environment.Thirty-six sampling points were arranged indoors,and intelligent multi-channel gas samplers were set at those 36 points to collect the irritant and calculate its concentration.Then the concentration data under different wind speeds,times and spatial locations were analyzed to obtain the distribution law of irritant concentration versus time,space and inlet conditions.The experimental results show that the aerosol formed by the irritant under the effect of the explosion exhibits a concentration difference under the influence of the indoor wind field,and the concentration gradually increases from the upper air outlet to the lower-orifice.Aerosol particles accumulate to lower places under the influence of gravity causing a higher concentration.The wind speed of the initial flow field has a significant influence on the diffusion phenomenon of irritant aerosol particles.Within a certain range,the greater the wind speed,the faster the diffusion speed.On this basis,using experimental data as training samples,the BP neural network method was used to establish a concentration prediction model within the speed range from 1.0 m/s to 1.5 m/s.The model presented a prediction error of 5%compared to the experimental data and then was applied to related predictions.The results show that the concentration value of the measuring point decreases linearly with the increase of wind speed when the inlet velocity ranges from 1.0 m/s to 1.5 m/s.And the concentration value at the height of 1.5 m is higher than that at the height of 0.5 m.The concentration at the height of 2.5 m is the lowest.

关 键 词：防暴弹 OC刺激剂 爆炸扩散 室内空间 BP神经网络 

分 类 号：TJ413.7[兵器科学与技术—火炮、自动武器与弹药工程]