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机构地区:[1]中国人民武装警察部队学院,河北廊坊065000
出 处:《消防科学与技术》2018年第1期118-121,共4页Fire Science and Technology
基 金:国家自然科学基金项目(51508571);河北省自然科学基金项目(E2016507012)
摘 要:基于最短路网络流算法建立了考虑人员密度的多源点疏散模型。该模型以各源点内所有人员安全疏散时间最短为目标,对疏散过程中人员聚集、烟气影响、人流交汇三个影响因素进行了耦合,并对算法步骤进行了优化。结合算例,重点分析人员密度对疏散的影响,结果表明:人流交汇后,人流密度增加一倍时,疏散时间的增幅均超过50%。同时验证了算法的有效性和适用性。A multi-source evacuation model considering occupant density was established based on the shortest path algorithm. The objective of this model is minimizing the evacuation time for all evacuees when fire occurs. Three influencing factors which were congregated people, smoke and intersection of people were coupled into this model, and the algorithm steps were optimized. The influence of occupant density to evacuation was further analyzed. The results showed that evacuation time would increase above 50% when occupant density doubled. The validity and feasibility was verified simultaneously.
分 类 号:X913.4[环境科学与工程—安全科学] TU998.1[建筑科学—市政工程]
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