Risk assessment of water inrush in karst tunnels based on a modified grey evaluation model: Sample as Shangjiawan Tunnel

Yuan, Yong-cai; Li, Shu-cai; Zhang, Qian-qing; Li, Li-ping; Shi, Shao-shuai; Zhou, Zong-qing

추천

검색

자료유형: 학술저널

저자정보: Yuan, Yong-cai (Geotechnical and Structural Engineering Research Center, Shandong University) Li, Shu-cai (Geotechnical and Structural Engineering Research Center, Shandong University) Zhang, Qian-qing (Geotechnical and Structural Engineering Research Center, Shandong University) Li, Li-ping (Geotechnical and Structural Engineering Research Center, Shandong University) Shi, Shao-shuai (Geotechnical and Structural Engineering Research Center, Shandong University) Zhou, Zong-qing (Geotechnical and Structural Engineering Research Center, Shandong University)

저널정보: 테크노프레스 Geomechanics & engineering Geomechanics & engineering 제11권 제4호

발행연도: 2016.1

수록면: 493 - 513 (21page)

이용수

📌

연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

초록· 키워드

오류제보하기

A modified grey clustering method is presented to systematically evaluate the risk of water inrush in karst tunnels. Based on the center triangle whitenization weight function and upper and lower limit measure whitenization weight function, the modified grey evaluation model doesn't have the crossing properties of grey cluster and meets the standard well. By adsorbing and integrating the previous research results, seven influence factors are selected as evaluation indexes. A couple of evaluation indexes are modified and quantitatively graded according to four risk grades through expert evaluation method. The weights of evaluation indexes are rationally distributed by the comprehensive assignment method. It is integrated by the subjective factors and the objective factors. Subjective weight is given based on analytical hierarchy process, and objective weight obtained from simple dependent function. The modified grey evaluation model is validated by Jigongling Tunnel. Finally, the water inrush risk of Shangjiawan Tunnel is evaluated by using the established model, and the evaluation result obtained from the proposed method is agrees well with practical situation. This risk assessment methodology provides a powerful tool with which planners and engineers can systematically assess the risk of water inrush in karst tunnels.

#karst tunnel #water inrush #risk assessment #triangular whitenization weight function #grey clustering method

참고문헌 (0)

참고문헌 신청

참고문헌이 DBpia에서 서비스 중이라면, [참고문헌 신청]을 통해 등록해보세요

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!