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| Study of Grade Evaluation System for Tunnel Leakage Disaster |
| PAN Hai-ze1, HUANG Yuan-chun1, CAO Jiang-ying2 |
| 1. Shanghai University of Engineering Science, Shanghai 201620, China; 2. Shijiangzhuang Vocational College of Law and Commerce, Hebei, Shijiazhuang 050091, China |
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Abstract Research purposes：Tunnel leakage is one of the major geological disasters in the process of tunnel operation. In order to better prevention of tunnel leakage and better treatment of tunnel leakage in tunnel operation, this paper presents a systematic research thoughts of " prediction of possibility grade of happening tunnel leakage disaster-evaluation of tunnel leakage disaster grade in tunnel operation period-evaluation of tunnel leakage grade with field measured data" , for offering a new thought on classificatory prediction and evaluation of tunnel leakage disasters.
Research conclusions：The models for prediction of possibility grade of happening tunnel leakage disaster and evaluation of tunnel leakage disaster grade in tunnel operation period are established with all kinds of stochastic mathematical methods, and the applied research on these models are done. The results show that the grades of tunnel leakage predicted by Mahalanobis distance method and evaluated by BP neural network and Fuzzy comprehensive evaluation methods are consistent with the evaluation with from the field measured data.
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Received: 30 October 2009
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2010, Vol. 27 
