Research on Tunnel Disaster Risk Prediction with Extenics Evaluation Based on Rough Set

An improved extenics model was established to predict disaster risk grades of tunnel construction in this study. In the model, rough set theory (RS) was selected to determine the weight coefficients of indicators. Then, a case study was undertaken with the improved model. Based on the survey field,...

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Bibliographic Details
Main Authors: Zhai Jian-Jian, Qin Sheng-Wu, Chen Jian-Ping, Han Xu-Dong, Peng Shuaiying, Chen Jun-Jun, Liu Xu
Format: Conference Proceeding
Language:English
Subjects:
disaster risk of tunnel construction
extenics
Indexes
Joints
Predictive models
Rocks
rough set
Set theory
Stability criteria
tunnel engineering
weight coefficient
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Summary:An improved extenics model was established to predict disaster risk grades of tunnel construction in this study. In the model, rough set theory (RS) was selected to determine the weight coefficients of indicators. Then, a case study was undertaken with the improved model. Based on the survey field, seven indicators were selected to estimate the risk of Shuangfeng tunnel. The result showed that the improved prediction model of tunnel construction disaster risk grades was reasonable for the tunnel and the improved model could precisely reflect the disaster risk grades of the tunnel construction with good engineering practicability.
ISSN:2157-1473
DOI:10.1109/ICMTMA.2015.231