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Quantitative Risk Evaluation Based On Event Tree Analysis Technique: Application To The Design Of Shield Tbm

机译:基于事件树分析技术的定量风险评估:在盾构TBM设计中的应用

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This paper analyses the risk probability of an underwater tunnel excavation using an earth pressure balance (EPB) type tunnel boring machine (TBM). An event tree analysis (ETA) has been applied to quantify the risk at the preliminary design stage of the tunnel. Probable results, which may be sequenced from specific initiating events, are analyzed, and adequate general countermeasures (safety functions) are selected to ensure safety against risks. To identify the initiating events, various data on underwater tunneling such as empirical analyses; design reports; case studies of practical problems; numerical analyses and model test results; and hydrological analysis results were used. Event trees corresponding to three significant initiating events were constructed. Each event tree consists of five countermeasures that construct 32 paths, and the probability of each path is calculated. A quantitative risk assessment was performed and the occurrence probabilities and criticalities of the paths depending on the initiating events were considered. Based on these ETA results, it was found that the selected underwater tunnel site still has a considerable probability of accidents in spite of common countermeasures. Based on the evaluated risks, improved target probabilities are proposed to reduce the probability of disaster during construction. Additional countermeasures, in other words mitigation actions, corresponding to the new target are considered. As a result, technical risks and economical losses of property can be minimized in a systematic way. It was found that the ETA is an effective method for the evaluation and quantitative analysis of probable risks and for the proposition of countermeasures for hazardous environmental conditions such as the underwater tunnel.
机译:本文使用土压平衡(EPB)型隧道掘进机(TBM)分析了水下隧道开挖的风险概率。事件树分析(ETA)已被用于量化隧道初步设计阶段的风险。分析可能的结果(可能是从特定的启动事件开始排序),并选择适当的常规对策(安全功能)以确保安全防范风险。为了识别引发事件,需要进行有关水下隧道的各种数据,例如经验分析;设计报告;实际问题的案例研究;数值分析和模型测试结果;并使用水文分析结果。构建了对应于三个重要启动事件的事件树。每个事件树由构成32条路径的五个对策组成,并计算了每个路径的概率。进行了定量风险评估,并考虑了取决于启动事件的路径的发生概率和临界度。根据这些ETA结果,发现尽管采取了普遍的对策,但所选的水下隧道工地仍然有相当大的事故发生可能性。基于评估的风险,提出了改进的目标概率,以减少施工期间发生灾难的可能性。考虑了与新目标相对应的其他对策,即缓解措施。结果,可以系统地使技术风险和财产的经济损失最小化。人们发现,ETA是评估和定量分析可能的风险以及提出针对危险环境条件(例如水下隧道)的对策的有效方法。

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