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)
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.
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
2024, Vol. 61 