摘要
针对现有的深基坑安全风险因子识别实践中没有考虑到基坑风险因子随基坑的施工过程而不断变化和更新的实际情况,提出基于现场监测数据,构建区间层次分析(I-AHP)耦合逼近理想解排序法(TOPSIS)的深基坑安全风险因子实时识别模型。依据获取的现场监测数据,深基坑建设不同施工阶段中的安全风险因子得到识别与排序,并应用于广州智慧城站深基坑工程验证模型的有效性,结果显示深基坑不同建设阶段的高风险因子得到有效识别并防止了基坑安全事故的发生。
The risk identification models are established without considering the fact that the states of potential safety risk factors are always changed and updated with the construction of deep excavation in different stages.Based on the data collected from construction site,the safety risk identification model related to I-AHP integrated with the extension of TOPSIS model is proposed.The safety risk factors are identified and ranked in different stages of deep excavation construction based on monitoring data.The case study related to Zhihuicheng Station in Guangzhou is applied to validate the feasibility of proposed model.The result demonstrates that the high risk factors are identified accurately in different stages of excavation construction to prevent the occurrence of accidents.
作者
王锦涛
WANG Jintao(China Railway 16th Bureau Group Beijing Metro Engineering Construction Co.Ltd.,Beijing 100018,China)
出处
《铁道建筑技术》
2020年第S01期25-31,共7页
Railway Construction Technology
基金
中铁十六局集团科技研究开发计划课题(GFHD2-5JS-08)
关键词
深基坑
安全风险动态识别
区间层次分析法(I-AHP)
逼近理想解排序法(TOPSIS)
deep foundation pit
dynamic identification of security risks
interval-analysis hierarchy process(I-AHP)
technique for order preference similarity to ideal solution(TOPSIS)
