基于遗传算法的火灾环境下建筑内人员安全疏散可靠度计算  

Evacuation Reliability Calculation in Case of Building Fire Based on Genetic Algorithms

作　　者：汪金辉[1] 陆守香[1] 

机构地区：[1]中国科学技术大学火灾科学国家重点实验室,合肥230026

出　　处：《中国工程科学》2006年第3期58-61,共4页Strategic Study of CAE

基　　金：国家重点基础研究发展计划"九七三"资助项目(2001CB409600)

摘　　要：将遗传算法(GAs)引入火灾环境下建筑内人员安全疏散的可靠度分析领域,并初步探讨了这一算法的具体实现过程,遗传算法可以方便地对式子复杂和难以求导的功能函数进行优化计算。算例分析的结果表明,遗传算法不仅可以实现人员安全疏散可靠度计算,而且获得了很高的计算精度,为人员安全疏散可靠度研究提供了新的有效方法和途径。The risk of people under building fire is expressed by genetic algorithms （GAs） reliability index β. Elementary program of genetic algorithm is basically discussed. This method is convenient to calculate evacuation reliability when performance function of evacuation is complex and difficult to get differential coefficient. Being compared with the result based on Monte-Carlo, the result of case analysis shows its efficiency, and genetic algorithm can be used to calculate the evacuation reliability with high precision. GAs can give a good new way to study the reliability of evacuation in case of building fire.

关 键 词：遗传算法 火灾 人员疏散 可靠度 

分 类 号：TU2[建筑科学—建筑设计及理论] X94[环境科学与工程—安全科学]