Seismic risk evaluation (SRE) in early stages (e.g., project planning and preliminary design) for a mountain tunnel located in seismic areas has the same importance as that in final stages (e.g., performance-based design, structural analysis, and optimization). SRE for planning mountain tunnels bridges the gap between the planning on the macro level and the design/analysis on the micro level regarding the risk management of infrastructural systems. A transition from subjective or qualitative description to objective or quantitative quantification of seismic risk is aimed to improve the seismic behavior of the mountain tunnel and thus reduce the associated seismic risk. A new method of systematic SRE for the planning mountain tunnel was presented herein. The method employs extension theory (ET) and an ET-based improved analytical hierarchy process. Additionally, a new risk-classification criterion is proposed to classify and quantify the seismic risk for a planning mountain tunnel. This SRE method is applied to a mountain tunnel in southwest China, using the extension model based on matter element theory and dependent function operation. The reasonability and flexibility of the SRE method for application to the mountain tunnel are illustrated. According to different seismic risk levels and classification criteria, methods and measures for improving the seismic design are proposed, which can reduce the seismic risk and provide a frame of reference for elaborate seismic design.
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This study was financially supported by the National Key Research and Development Program of China (2016YFB1200401) and the Western Construction Project of the Ministry of Transport (Grant No. 2015318J29040). This support is gratefully acknowledged.
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Xu, J., Xu, H., Sun, R. et al. Seismic risk evaluation for a planning mountain tunnel using improved analytical hierarchy process based on extension theory. J. Mt. Sci. 17, 244–260 (2020). https://doi.org/10.1007/s11629-018-5267-9
- Seismic risk evaluation
- Mountain tunnel
- Extension theory
- Analytical hierarchy process
- Classification criterion