Home | About Journal  | Editorial Board  | Instruction | Subscription | Advertisement | Message Board  | Contact Us | 中文
MODERN TUNNELLING TECHNOLOGY 2024, Vol. 61 Issue (5) :227-233    DOI:
Current Issue | Next Issue | Archive | Adv Search << [an error occurred while processing this directive] | [an error occurred while processing this directive] >>
Research on Digital Reconstruction and Damage Analysis Methods for Lifecycle Management of Traffic Tunnels
(1.School of Civil Engineering, Changsha University of Science and Technology, Changsha 410114; 2. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077)
Download: PDF (4394KB)   HTML (1KB)   Export: BibTeX or EndNote (RIS)      Supporting Info
Abstract Traditional tunnel management exhibits low levels of informatization and weak disaster perception capa? bilities, hindering effective and economical maintenance of tunnel damages. To address this, a systematic digital method is proposed, utilizing 2D CAD drawings, damage reports, and geological data for automated 3D reconstruction, forming an integrated model of tunnel structures, damages, and surrounding rock. Unlike conventional Building Information Modeling (BIM), this method is data-driven, enabling comprehensive analysis of disaster precursors by reconstructing models that encompass tunnel structures, damages, and surrounding rock, thus assessing the health of structures in complex geological environments and facilitating precise treatment strategies. The method was applied to evaluate the structural state of a tunnel in Guizhou, revealing a close relationship between the occurrence of tunnel damages and geological conditions. This approach visually demonstrates the correlation between tunnel damages and geological status, achieving real-time updates on damage precursors.
Service
Email this article
Add to my bookshelf
Add to citation manager
Email Alert
RSS
Articles by authors
TANG Cong1 XU Shiquan1 OU Xuefeng1 QU Tongming2 LIAO Wei1 ZHOU Wentao1
KeywordsDigital reconstruction   Tunnel damage   Surrounding rock   Lifecycle management     
Abstract: Traditional tunnel management exhibits low levels of informatization and weak disaster perception capa? bilities, hindering effective and economical maintenance of tunnel damages. To address this, a systematic digital method is proposed, utilizing 2D CAD drawings, damage reports, and geological data for automated 3D reconstruction, forming an integrated model of tunnel structures, damages, and surrounding rock. Unlike conventional Building Information Modeling (BIM), this method is data-driven, enabling comprehensive analysis of disaster precursors by reconstructing models that encompass tunnel structures, damages, and surrounding rock, thus assessing the health of structures in complex geological environments and facilitating precise treatment strategies. The method was applied to evaluate the structural state of a tunnel in Guizhou, revealing a close relationship between the occurrence of tunnel damages and geological conditions. This approach visually demonstrates the correlation between tunnel damages and geological status, achieving real-time updates on damage precursors.
KeywordsDigital reconstruction,   Tunnel damage,   Surrounding rock,   Lifecycle management     
Cite this article:   
TANG Cong1 XU Shiquan1 OU Xuefeng1 QU Tongming2 LIAO Wei1 ZHOU Wentao1 .Research on Digital Reconstruction and Damage Analysis Methods for Lifecycle Management of Traffic Tunnels[J]  MODERN TUNNELLING TECHNOLOGY, 2024,V61(5): 227-233
URL:  
http://www.xdsdjs.com/EN/      或     http://www.xdsdjs.com/EN/Y2024/V61/I5/227
 
No references of article
[1] GUO Yongjun1 LI Chao2 ZHENG Jianguo3 YU Yongtang4 ZHU Caihui5.Influence of Ground Surcharge on Existing Shield Tunnel Segments in Xi′an Loess Strata[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(4): 61-72
[2] XU Caijian1 CHEN Xingyu1 LEI Minglin1 ZHANG Xinglong2 SUN Huaiyuan2 LI Xiaojun2.Digital Twin and Risk Decision-making for Water-richess of Surrounding Rock Ahead of Tunnel Face[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(4): 90-99
[3] LUO Long1 ZHU Kaicheng2 HAN Yuxuan3 CAI Dong4 LIU Zheqi5 WANG Jun6.Research on Optimization of Construction Methods for Ultra-large Cross-section Tunnels: A Case Study of the Lihuashan Tunnel on the Tianfu New Area-Qionglai Expressway[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(4): 273-282
[4] LI Jiuyuan1 GAO Fayong1 MA Yongtao1 TANG Mingyang2 FU Kang3 LI Yuheng2 XUE Yiguo2.Study on Surrounding Rock Identification and Excavation Speed Prediction in TBM Tunnels Based on the Interaction Mechanism of Rock-Machine Parameters[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(3): 75-87
[5] LI Yuhua1 GAO Yawei ZHONG Qiufeng1 QIN Lixuan2 LI Junjie CHENG Zhiming2 HUANG Yonghui.Study on the Blasting Effect of Tunnel Wedge Cut under Different Cut Hole Angles[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(3): 108-116
[6] WANG Zhilong1,2,3,4 WANG Mingnian2,3,4 ZHANG Xiao2,3,4 TONG Jianjun2,3,4 LIU Dagang2,3,4.Study on Mechanical Behaviors and Spatiotemporal Effects in Mechanized Large-section Tunnelling[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(3): 229-239
[7] XIE Yongli1 LU Zhejin1 YANG Feng2 PENG Qi1 LIU Shifa2.Analysis of the Correlation between the Slip Line Net and the Shear Strength Reduction Path of Surrounding Rocks in Circular Tunnels[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(2): 39-48
[8] 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
[9] ZHANG Huan1, 2 ZHANG Shishu3 LI Tianbin1, 2 YANG Gang1, 2 LI Shisen1, 2 XIAO Huabo3 CHEN Weidong3.GAPSO-LightGBM-based Intelligent Prediction Method of Surrounding Rock Grade in TBM Tunnelling[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(2): 98-109
[10] CHEN Zhimin LIU Baoli XU Jiangtao.Study on Shear Characteristics and Classifications of Moraine Considering Gravel Content[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(1): 38-47
[11] GAO Wei1 AN Ping1 HUANG Jun2 YUAN Shuo1 ZHAO Zhihao1 GE Shuangshuang1 CHEN Xikun2.Current Research Status and Prospects of Defect Management Systems for Operational Tunnels in China[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(1): 10-19
[12] WANG Zhigang.Study on the Interaction Mechanism of First and Subsequently Excavated Shatantou Tunnel Tubes under Different Clear Distance Conditions[J]. MODERN TUNNELLING TECHNOLOGY, 2025,62(1): 183-191
[13] 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
[14] XU Jianfeng1 ZHANG Xiangchuan1 QIN Guifang1 KUANG Huajiang1 LIU Guanghui1 DENG Xingxing1.Intelligent Identification Method of Surrounding Rock Grades of Tunnel Face Based on Drilling Parameters[J]. MODERN TUNNELLING TECHNOLOGY, 2024,61(5): 79-87
[15] WANG Shengtao1 ZHANG Junru2 PENG Bo1 YAN Bo3.Research on Treatment Technology for Arch Bridge-tunnel Integrated Structure Spanning a Large Karst Cave Section[J]. MODERN TUNNELLING TECHNOLOGY, 2024,61(5): 263-273
Copyright 2010 by MODERN TUNNELLING TECHNOLOGY