Tunnel lining evaluation based on A-EWM cloud model

The safety of diversion tunnel lining is an important issue affecting the operation life of diversion tunnel. The evaluation and prevention of lining safety is the key to ensure the safe and stable operation of diversion tunnel. The existing evaluation of lining safety is basically evaluated by scoring system and fuzzy evaluation method, which is too vague and subjective. It is not universal for the disease index and index grade that affect the safety of lining, and it is necessary to establish an evaluation index system suitable for diversion tunnel. Therefore, the author makes a detailed classification and standard division of lining diseases, and establishes an evaluation index system of lining diseases of diversion tunnel composed of six second-level indexes and 15 third-level indexes. On the basis of the index system, ANP (network analytic hierarchy process) and EWM (entropy weight method) are combined to optimize the weight of index evaluation, and the theoretical cloud model is introduced to realize the quantitative to qualitative transformation of evaluation results. Based on the data collected from the field index of the diversion tunnel, the single tunnel section and the whole tunnel are evaluated, and the evaluation results are compared with the field test results. The results show that the results of the model in the evaluation of single tunnel section and the evaluation of the whole tunnel are consistent with the field results. In addition, the ANP in this model is replaced by AHP (analytic hierarchy process) to calculate and evaluate the results. It is found that the integration of ANP considers the problem of mutual feedback between indicators more than AHP, which provides a better basis for the specified index maintenance of damaged tunnel section.