Home | About Journal  | Editorial Board  | Instruction | Subscription | Advertisement | Message Board  | Contact Us | 中文
MODERN TUNNELLING TECHNOLOGY 2023, Vol. 60 Issue (5) :40-47    DOI:
Current Issue | Next Issue | Archive | Adv Search << [an error occurred while processing this directive] | [an error occurred while processing this directive] >>
Research on Factors Influencing the Resilience of the Tunnel System and Related Evaluation
(1. School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou 730070; 2. Gansu Road & Bridge Construction Group,Lanzhou 730030)
Download: PDF (4322KB)   HTML (1KB)   Export: BibTeX or EndNote (RIS)      Supporting Info
Abstract In order to solve the problems of frequently occurred geological hazards, difficulty in rescue and posthazard repair in tunnel engineering, the resilience theory is introduced into the safety system of the tunnel engineering system, and a DEMATEL-BN based tunnel engineering system resilience evaluation model is proposed. Twentytwo influence factors are initially identified from five aspects: human, machine, material, method and environment.Influence factors with low correlation are eliminated through DEMATEL and a Bayesian network topology diagram is constructed; the system resilience value is calculated by forward reasoning in combination with the Bayesian networks and the GeNIe software; key influence chains and sensitive factors are identified by reverse reasoning and sensitivity analysis; finally, an empirical study is conducted using the Bingcaowan Tunnel as an example. The results show that the Bingcaowan Tunnel has a medium to high level of resilience, with a key influence chain of "emergency rescue drills → emergency decision-making and response → recovery ability", and sensitive factors of "complex geological conditions, safe and civilized construction, emergency decision-making and response". Finally, phased improvement suggestions are proposed based on analysis.
Service
Email this article
Add to my bookshelf
Add to citation manager
Email Alert
RSS
Articles by authors
WENG Yuan1 LI Aichun1 ZHAO Ting1 LIU Buwu2
KeywordsTunnel engineering   System resilience   DEMATEL   Bayesian network   Sensitivity analysis     
Abstract: In order to solve the problems of frequently occurred geological hazards, difficulty in rescue and posthazard repair in tunnel engineering, the resilience theory is introduced into the safety system of the tunnel engineering system, and a DEMATEL-BN based tunnel engineering system resilience evaluation model is proposed. Twentytwo influence factors are initially identified from five aspects: human, machine, material, method and environment.Influence factors with low correlation are eliminated through DEMATEL and a Bayesian network topology diagram is constructed; the system resilience value is calculated by forward reasoning in combination with the Bayesian networks and the GeNIe software; key influence chains and sensitive factors are identified by reverse reasoning and sensitivity analysis; finally, an empirical study is conducted using the Bingcaowan Tunnel as an example. The results show that the Bingcaowan Tunnel has a medium to high level of resilience, with a key influence chain of "emergency rescue drills → emergency decision-making and response → recovery ability", and sensitive factors of "complex geological conditions, safe and civilized construction, emergency decision-making and response". Finally, phased improvement suggestions are proposed based on analysis.
KeywordsTunnel engineering,   System resilience,   DEMATEL,   Bayesian network,   Sensitivity analysis     
Cite this article:   
WENG Yuan1 LI Aichun1 ZHAO Ting1 LIU Buwu2 .Research on Factors Influencing the Resilience of the Tunnel System and Related Evaluation[J]  MODERN TUNNELLING TECHNOLOGY, 2023,V60(5): 40-47
URL:  
http://www.xdsdjs.com/EN/      或     http://www.xdsdjs.com/EN/Y2023/V60/I5/40
 
No references of article
[1] WANG Sheng1,2,3,4 WEI Qin1,2 LI Liping3.Catastrophic Mechanisms and Research Development Trends of Water and Mud Inrushes in Tunnels[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(4): 15-25
[2] ZOU Yulin1, 2 LIU Jing1 WANG Bo2 CHENG Ziquan2 XIE Zuodong2 GU Hao3 WANG Kaiyue.Study on the Causes and Prevention Measures of Water and Mud Inrush Disasters in Sichuan Yanjiang Expressway Tunnels[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(3): 259-269
[3] YANG Zhongmin1,2,3 ZHANG Yufang1,2,3 LI Jian1,2,3 HE Jiajun1,2,3 ZHANG Shengjie.Mechanism and Influencing Factor Sensitivity Analysis of Invert Arch Uplift in Red-bed Soft Rock Tunnels in Northwestern China[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(3): 11-18
[4] QIN Tiange 1, 2 WU Li CHEN Qian1 XIA Zhen1 LIU Shiya1, 2 CAI Xin1.Research Status and Development Trends of Intelligent Construction System for Drill and Blast Tunnelling[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(3): 1-10
[5] WANG JingYong1,2 WANG Ping2 YANG Jin2 JI Feng3.Optimization Study on the Support Structure of a Tunnel in Carbonaceous Phyllite Using Physical Model Tests[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(3): 160-169
[6] WANG Shuaishuai FU Yifan2,3 XU Yong1 SHI Jingfeng1 GUO Chun2,3.Parametric Study on Air Chamber Ventilation in Tunnelling Using Relay Fans for Airflow Distribution[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(3): 240-248
[7] ZHANG Meining1,2 SONG Zhanping1,2,3 YUE Bo4 LI Xu1,2,3 ZHAO Yirui2 TAO Lei5.Research on Construction and Application of a Rapid Tunnel Surrounding Rock Classification Model Based on Real-time Images and Advanced Geological Information[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(2): 87-97
[8] WANG Haokang1,2 SHEN Yusheng1,2 PAN Xiaohai1,2 CHANG Mingyu1,2 ZHANG Xinyang1,2 SU Wei3.Experimental Study on Dynamic Characteristics of Tunnels Crossing Multi-fault Fracture Zones in Strong Earthquake Regions[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(1): 212-220
[9] YANG Cunbin1,2 REN Yang,1,2 WU Yuehua1,2 HE Wanchao1,2 LI Tianbin1,2.Dynamic Intelligent Prediction of Tunnel Surrounding Rock Geological Information Based on M-LSTM Method[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(1): 74-82
[10] WANG Lichuan1,2 GE Lihui3 WANG Haiyan2 KONG Chao4 LI Qingbin1 WANG Yuntao3 LIU Yufei1.Construction Methods of Longitudinal Synchronous Grouting for Tunnel Crown Secondary Lining Voids[J]. MODERN TUNNELLING TECHNOLOGY, 2024,61(6): 269-277
[11] ZHANG Chengyou1 WANG Bo1 DU Zehao1 GAO Junhan1 TAN Lihao2.Analysis of the Suitability of Different Anchor Bolt Support Systems for Rockburst Mitigation and Optimization of Anchor Bolt Parameters[J]. MODERN TUNNELLING TECHNOLOGY, 2024,61(6): 64-73
[12] ZHANG Xinyang1, 2 SHEN Yusheng1, 2 CHANG Mingyu1, 2 WANG Haokang1, 2 PAN Xiaohai1, 2 WANG Yanyan1, 2.Mix Proportion Design of Similar Materials for Tunnel Surrounding Rocks Based on GA-BP Neural Network[J]. MODERN TUNNELLING TECHNOLOGY, 2024,61(6): 82-91
[13] HUI Qiang1 GAO Feng1,2 TAN Xukai1 YOU Dongmei1.Study on Structural Damage Characteristics of Tunnels Crossing Active Faults Based on Layered Dislocation Theory[J]. MODERN TUNNELLING TECHNOLOGY, 2024,61(6): 35-44
[14] XU Xiaojing1,2 SONG Zhanping1,2,3 TIAN Xiaoxu1,2 DING Libo? SUN Yinhao? ZHAO Junbo1,2.Analysis of the Support Effect of Micro Steel Pipe Pile-Anchor Bolt at Tunnel Portal Slope Based on the Incremental Method[J]. MODERN TUNNELLING TECHNOLOGY, 2024,61(6): 118-128
[15] CHEN Zhimin WANG Hong CHEN Jun ZHAI Wenhao WANG Duobin LI Wenhao CAI Yunchen.Study on Gradation Characteristics and Arching Effect of Talus in Southwest China[J]. MODERN TUNNELLING TECHNOLOGY, 2024,61(6): 172-181
Copyright 2010 by MODERN TUNNELLING TECHNOLOGY