Risk Assessment of Diversion Tunnel Construction Based on GRAEWMMEE Model
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초록
In order to accurately predict the level of landslide and water surge risks during the construction phase of thediversion tunnel, a scientific and reasonable assessment of the tunnel construction safety risks was carried outby combining game theory and the matterelement expansion method. Considering the various predisposingindexes of the tunnel, an index system containing 24 indexes was constructed by combining relevant codes andreferences. GRA and EWM are used to assign subjective and objective weights to the indexes respectively, andgame theory is used to determine the weights comprehensively. The GRAEWMMEE model was establishedbased on the matterelement extension method and validated with tunnel 7# as an example. The results showthat the correlation degrees of each section of the tunnel are: 0.086, 0.069, 0.033, 0.035, and 0.077, all of thembelong to class II (moderate risk), which is consistent with the results of the variable fuzzy set evaluation andengineering risk assessment report. Therefore, it is feasible to apply the model to tunnel construction riskassessment, which can provide new ideas for the safety risk assessment of similar diversion tunnels.
Abstract
In order to accurately predict the level of landslide and water surge risks during the construction phase of thediversion tunnel, a scientific and reasonable assessment of the tunnel construction safety risks was carried outby combining game theory and the matterelement expansion method. Considering the various predisposingindexes of the tunnel, an index system containing 24 indexes was constructed by combining relevant codes andreferences. GRA and EWM are used to assign subjective and objective weights to the indexes respectively, andgame theory is used to determine the weights comprehensively. The GRAEWMMEE model was establishedbased on the matterelement extension method and validated with tunnel 7# as an example. The results showthat the correlation degrees of each section of the tunnel are: 0.086, 0.069, 0.033, 0.035, and 0.077, all of thembelong to class II (moderate risk), which is consistent with the results of the variable fuzzy set evaluation andengineering risk assessment report. Therefore, it is feasible to apply the model to tunnel construction riskassessment, which can provide new ideas for the safety risk assessment of similar diversion tunnels.
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