Quantitative Risk Assessment for Deep Tunnel Failure Based on Fuzzy Comprehensive Evaluation

doi:10.12068/j.issn.1005-3026.2022.05.018

Abstract

Abstract: The spatial and temporal distribution of tunnel failure is very complex due to geologic heterogeneity and mining processes variability in deep metal mines. The quantitative risk assessment for deep tunnel failure was performed at the Ashele copper mine， and the risk assessment was completed by comprehensively considering the evaluation indexes of geological conditions， mining process， and microseismic data. A weighted distribution of evaluation indexes was determined by implementation of an entropy weight method. The results showed that the five largest weights of the model are attributed to microseismic(MS)indexes， accounting for more than 80% of the total weight， which indicates that the MS indexes play a dominant role in the risk assessment of tunnel failure. The evaluation accuracy rate of tunnel failure sample data based on the fuzzy comprehensive evaluation method is close to 90%. Which can realize the quantitative risk assessment for regional deep tunnel failure， and meet the needs of the prevention and control of regional ground pressure hazards as well as the systematic optimization of mining process in deep metal mines.

Key words: deep metal mines; tunnel failure; fuzzy comprehensive evaluation; risk assessment; microseismic

CLC Number:

TP20

LIU Jian-po， WU Feng， WANG Ren， ZHANG Jun-jie. Quantitative Risk Assessment for Deep Tunnel Failure Based on Fuzzy Comprehensive Evaluation[J]. Journal of Northeastern University(Natural Science), 2022, 43(5): 733-739.

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