基于数理统计的地铁车站深基坑施工风险评估
蒙国往1,2黄劲松1吴波1,2农忠建1许杰1韦汉1
Risk Assessment of Metro Station Deep Foundation Pit Construction Based on Mathematical Statistics
MENG GuowangHUANG JinsongWU BoNONG ZhongjianXU JieWEI Han
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作者信息:1.广西大学土木建筑工程学院,530004,南宁;
2.广西大学工程防灾与结构安全教育部重点实验室,530004,南宁
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Affiliation:College of Civil Engineering and Architecture, Guangxi University, 530004, Nanning, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2021.12.011
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中图分类号/CLCN:U231.4;TU714
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栏目/Col:研究报告
摘要:
为更准确地评估施工风险,保障施工安全,根据风险定义从风险发生概率和风险发生损失两方面对地铁车站深基坑施工风险进行分析,以层次分析法为原理基础,将数理统计数据应用于模糊综合评价法。对南宁轨道交通5号线狮山公园站深基坑施工风险总值及各风险因素风险值进行评估。经评估,该工程施工风险处于最低合理可行区域,并给出应注意的主要风险因素以及相应的控制措施。后续监测结果显示,该工程在采取相应控制措施后,主要风险得到有效控制,工程安全得到保障。
Abstracts:
In order to evaluate construction risk more accurately and to ensure construction safety, metro station deep foundation pit construction risk is analyzed from the two aspects of risk occurrence probability and risk loss, according to the definition of risk. Mathematical statistical data are applied to fuzzy comprehensive evaluation method based on the principle of analytic hierarchy process. Assessment of the total risk value of deep foundation pit construction of Shishan Park Station of Nanning Rail Transit Line 5 and of the risk value of various risk factors is carried out. Results show that the construction risk of the project is in the lowest reasonable and feasible range according to evaluation, and the main risk factors that should be paid attention to are listed, as well as corresponding control measures. Following monitoring results show that with adoption of the corresponding control measures, main risks of the project are effectively controlled, and the project safety is guaranteed.
引文 / Ref:
蒙国往,黄劲松,吴波,等.基于数理统计的地铁车站深基坑施工风险评估[J].城市轨道交通研究,2021,24(12):55.
MENG Guowang,HUANG Jinsong,WU Bo,et al.Risk Assessment of metro station deep foundation pit construction based on mathematical statistics[J].Urban Mass Transit,2021,24(12):55.
MENG Guowang,HUANG Jinsong,WU Bo,et al.Risk Assessment of metro station deep foundation pit construction based on mathematical statistics[J].Urban Mass Transit,2021,24(12):55.
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