Risk assessment of water leakage in subway construction under multi-factor coupling
Aiming at the fuzzy and uncertainty of subway shield construction water seepage risk evaluation and the complex coupling relationship between evaluation indicators,this paper proposed a subway construction water seepage risk assessment model based on an improved Interaction Matrix-Fuzzy Cognitive Map-extensible cloud model.First,based on the system safety theory,combined with the characteristics of subway shield construction,based on literature research,expert consultation,and field research,this paper established a subway shield construction water seepage risk evaluation index system which includes 17 secondary indexes in the four dimensions of human,material,legal and environmental;second,the Combination Ordered Weighted Averaging was introduced to improve the interaction matrix;through the fusion model of the interaction matrix and fuzzy cognitive map,the key risks are identified,the evolution trend is predicted,and the weight of each evaluation index is determined.On this basis,a comprehensive assessment model was established and the cloud correlation was calculated by using the extensible cloud theory to determine the risk assessment level of water leakage in metro shield construction,and the model was applied to the risk assessment of water leakage in a shield interval.The evaluation results show that the water leakage risk status of shield construction in this interval is safe,but there is a tendency to develop to the basic safety status,and the evaluation results are consistent with the actual situation of the project;the membership degree of the second-level indicators for each risk level was calculated on the extensible cloud model.It is determined that the secondary indicators with greater risk are the maintenance level of machine materials,grout filling compactness,groundwater level,and water content of the soil layer.By strengthening the monitoring of the indicators with higher risk,the leakage water can be effectively controlled.The assessment model can provide a feasible and effective method for quantitative characterization of the risk level of leakage water in shield tunnel construction.
safety engineeringtunnel water leakageinteraction matrixfuzzy cognitive mapextensible cloud modelrisk assessment
万方数据
维普
