摘要
深基坑施工期间不利因素非常多,监测数据调查结果较差,旧式的风险评估原理难以解决。为此依据模糊贝叶斯互联网的风险评估原理,借助模糊计算结果中的研究者评价原理计算模糊数值中风险事件的概率、并计算模型中每个节点中每个风险的概率的方法,以广州地铁11号线火车站深基坑工程为依托,计算得到了该工程各种风险事件发生的概率,得出基坑施工整体安全等级处于II级(偏安全)的结果,验证了此方法的适用性。
During the construction of deep foundation pit,there are many adverse factors,the monitoring data survey results are poor,and the old risk assessment principle is difficult to solve.Therefore,based on the risk assessment principle of the fuzzy Bayesian Internet,the probability of risk events in the fuzzy numerical value is calculated by using the researcher evaluation principle in the fuzzy calculation results,and the probability of each risk event in each node of the model is calculated.The probability of various risk events in the project is calculated based on the deep foundation pit project of the railway station of Guangzhou Metro Line 11,The result shows that the overall safety level of foundation pit construction is at level II(partial safety),which verifies the applicability of this method.
作者
李良
LI Liang(China Railway No.2 Engineering Group Co.,Ltd.,Chengdu,Sichuan 610000,China)
出处
《黑龙江交通科技》
2024年第6期155-160,共6页
Communications Science and Technology Heilongjiang
关键词
基坑建造开挖
模糊计算结果
贝叶斯网络
研究者评价原理
安全风险评估
excavation of foundation pit
fuzzy calculation results
Bayesian network
expert scoring method
safety risk assessment
