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超压防护急救车车厢内生物污染物运动扩散的数值模拟与试验验证
引用本文:徐新喜,赵秀国,刘亚军.超压防护急救车车厢内生物污染物运动扩散的数值模拟与试验验证[J].安全与环境学报,2010,10(1):185-188.
作者姓名:徐新喜  赵秀国  刘亚军
作者单位:军事医学科学院卫生装备研究所,国家生防装备工程技术研究中心,天津,300161;军事医学科学院卫生装备研究所,国家生防装备工程技术研究中心,天津,300161;军事医学科学院卫生装备研究所,国家生防装备工程技术研究中心,天津,300161
基金项目:全军后勤科研"十一五"计划项目 
摘    要:为考核超压防护急救车通过生物污染区域时的车厢环境安全性,运用CFD方法和拉格朗日颗粒随机轨道模型,对车厢内的生物污染物运动扩散进行了数值模拟,并通过试验对比研究了车厢内污染物浓度场的分布状态.试验结果与模拟结果基本一致,说明拉格朗日颗粒随机轨道模型能较好地反映生物污染物运动扩散的时空分布特点,超压防护急救车车厢环境安全性良好.

关 键 词:安全工程  超压防护  急救车  生物污染物  浓度场  数值模拟  试验验证

Numerical simulation and inspection for the distribution of the biological contaminant inside the emergency ambulance with overpressure protection
XU Xin-xi,ZHAO Xiu-guo,LIU Ya-jun.Numerical simulation and inspection for the distribution of the biological contaminant inside the emergency ambulance with overpressure protection[J].Journal of Safety and Environment,2010,10(1):185-188.
Authors:XU Xin-xi  ZHAO Xiu-guo  LIU Ya-jun
Abstract:The paper takes as its main topic for discussion numerical simulation and inspection for biological contaminant distribution inside an emergency ambulance due to overpressure protection to make sure the compartment environmental safety of the emergency ambulance with overpressure protection passing through the biological pollution area. For this purpose, we have been trying to use the computational fluid dynamics (CFD) and Lagrangian stochastic trajectory method to simulate the distribution of biologic contaminant inside the ambulance, with the focus on the study of the distribution of biological contaminant inside the vehicle by using the serratia marcescens. The results of our calculation and measurement prove to be quite identical, which indicates that Lagrangian stochastic trajectory method can help to reflect the temporal and spatial distribution of the biological particles accurately, and the environmental safety inside the vehicle is in a normal state. We have also developed an experimental method for investigating the vehicle equipment protection against the pernicious bacteria entrenchment into the ambulance under normal conditions (without bio-safety laboratory), and explored the true state of the biological contaminants' movement and distribution inside the vehicle, which helps us to find the obvious disadvantages of using ordinary physical particles or tracer gas CO_2(SF_6) instead of biological particles in the past. In addition, numerical simulation on the biological contaminants' distribution can be expected to solve the problem on the contaminant concentration at a particular spot and in a limited length of time inside the vehicle. Thus, the method proves valuable for predicting the bio-contaminant concentration inside a vehicle or any other compartment.
Keywords:safety engineering  overpressure protection  emergency ambulance  biologic contaminant  concentration distribution  numerical simulation  measurement
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