Advance optimized classification and application of surrounding rock based on fuzzy analytic hierarchy process and Tunnel Seismic Prediction

• An evaluation system is proposed to forecast the classification of Surrounding Rock.
• The system is based on fuzzy AHP and Tunnel Seismic Prediction.
• The contribution weights of evaluation indices are rationally distributed by AHP.
• Comparisons of the results derived from the present method and a case study are made.

An advance optimized classification method is proposed to accurate predict the surrounding rock classification based on Fuzzy Analytic Hierarchy Process (FAHP) and Tunnel Seismic Prediction (TSP). Several factors that greatly affect rock mass classification are selected as evaluation indices of FAHP based on analysis of numerous TSP data. Evaluation indices are divided into five grades according to its response characteristics of seismic wave field, and their membership functions are proposed by using frequency statistical method. Comprehensive assigning method is adopted to determine the weights of evaluation indices, and a FAHP model is established for optimized classification of surround rock. Engineering application of Shimenya Tunnel of Yi-Ba Highway is taken as a case study, and proved that the evaluation indices are easy to obtain and the evaluation results are accurate and reliable. The FAHP-TSP method can be further used for other tunnel engineering.