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Water 2018, 10(8), 997; https://doi.org/10.3390/w10080997

Intelligent Evaluation System of Water Inrush in Roadway (Tunnel) and Its Application

1
School of Qilu Transportation, Shandong University, Jinan 250061, China
2
Geotechnical and Structural Engineering Research Center, Shandong University, Jinan 250061, China
3
State Key Laboratory of Mining Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao 266590, China
4
School of Transportation Engineering, Shandong Jianzhu University, Jinan 250061, China
5
School of Civil Engineering, Guizhou University, Guiyang 550025, China
*
Authors to whom correspondence should be addressed.
Received: 4 July 2018 / Revised: 24 July 2018 / Accepted: 25 July 2018 / Published: 27 July 2018
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Abstract

The risk assessment of mine water inrush is a complicated theoretical and technical problem that concerns hydrogeology conditions, engineering geology, mining conditions, rock mechanics, etc. To address this problem, a software system for the risk assessment of mine water inrush was established. From the matter-element extension theory, combined with the entropy-weight method, a matter-element extension entropy-weight model was constructed to evaluate mine safety. Eleven indices were determined based on the principles of science, rationality, operability, and representation, and each index was quantitatively graded. This system had built-in abundant cases of typical mine water inrush so users could determine the value of the parameter according to the analogy of water inrush cases with similar conditions. Combined with the analysis of typical water inrush cases, a database of water control measures with a strong advisory function was established. Finally, through the case study of a typical mine, it was found that the results of this study agreed with the practical ones, indicating that this system could improve the accuracy and availability of the risk assessment of mine water inrush. View Full-Text
Keywords: roadway (tunnel) water inrush; matter-element extension entropy–weight model; risk assessment; software design; engineering application roadway (tunnel) water inrush; matter-element extension entropy–weight model; risk assessment; software design; engineering application
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Shi, S.; Xie, X.; Wen, Z.; Zhou, Z.; Li, L.; Song, S.; Wu, Z. Intelligent Evaluation System of Water Inrush in Roadway (Tunnel) and Its Application. Water 2018, 10, 997.

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