The best supporting time of hydraulic tunnels based on multiple monitoring information
XIAO Peiwei1,2, YANG Xingguo1,2, QIAN Hongjian3, WANG Haofan4, LI Biao4*, XU Nuwen1,2
1. College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, Sichuan, China; 2. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, Sichuan, China; 3. CHN Energy Jinsha River Xulong Hydropower Co., Ltd., Garze Tibetan Autonomous Prefecture 627950, Sichuan, China; 4. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, Sichuan, China
Abstract: To scientifically determine the timing of hydraulic tunnel support under complex geological conditions in the southwestern region, the diversion tunnel of Xulong Hydropower Station was selected as the research object. Three-dimensional laser scanning, acoustic wave testing, and microseismic monitoring technologies were integrated into a collaborative analysis method for surface deformation, shallow damage, and internal fractures. Through continuous spatiotemporal monitoring, the time-dependent deformation characteristics of surrounding rock, evolution patterns of wave velocity fields, and spatiotemporal distribution modes of microfractures were systematically tracked. Monitoring data revealed that significant deformation of surrounding rock, wave velocity variations, and microseismic activities were observed during the initial stage. These parameters gradually stabilized 11 days after excavation. During this period, the self-bearing capacity of the surrounding rock was maximized, serving as the basis for optimal support timing. Engineering practice verified that the self-supporting capacity of Class II surrounding rock was fully utilized when supports were implemented 11 days post-excavation. This finding provides important references for determining support timing in similar projects.
肖培伟,杨兴国,钱洪建,王浩帆,李彪,徐奴文. 基于多元监测信息的水工隧洞最佳支护时机[J]. 隧道与地下工程灾害防治, 2025, 7(1): 11-21.
XIAO Peiwei, YANG Xingguo, QIAN Hongjian, WANG Haofan, LI Biao, XU Nuwen. The best supporting time of hydraulic tunnels based on multiple monitoring information. Hazard Control in Tunnelling and Underground Engineering, 2025, 7(1): 11-21.
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2025, Vol. 7 
