摘要
玻璃幕墙面板脱落的因素有很多,和玻璃材料本身、支承结构、连接构造、结构胶以及使用的地理、气候环境均有关系。上述因素造成面板脱落的概率均无定量的数据,而且玻璃是非常脆性的材料,在外界因素影响下非常容易自爆,使得预测玻璃幕墙面板脱落风险的概率更加困难。本文尝试采用贝叶斯网络方法,结合模糊集理论,利用专家经验对玻璃幕墙面板脱落风险进行了定量分析,把专家对某一事件可能出现的定性判断转化为可能出现的定量概率,建立了一种玻璃幕墙面板脱落风险分析的方法。
There are many factors that glass curtain wall panel fall off,such as the glass material defects,supporting structure,connection,structural adhesive,geography and climate.These are not enough detailed information about the panel off,and the glass is very brittle materials,the external factors influence is very easy to blow it up.so the risk probability prediction of glass curtain wall panel off is more difficult.This paper tries to use the Bayesian networks method,combined with the fuzzy set theory,based on the expert experience for quantitative risk analysis of glass curtain wall panel off.Established a method of risk analysis of glass curtain wall panel off,make the expert qualitative judgment of an event into the quantitative probability.
出处
《门窗》
2014年第11期18-21,共4页
Doors & Windows
基金
国家"十二五"科技支撑计划课题:城市建筑物安全运营保障技术(2012BAJ07B04)
关键词
玻璃幕墙
安全风险
面板脱落
贝叶斯网络
模糊集
glass curtain wall
risk analysis
panel fall off
bayesian networks
fuzzy sets
