Deciphering the Time-Dependent Deformation and Failure Mechanism of the Large Underground Powerhouse in Baihetan Hydropower Station
During the excavation of the underground cavern at the Baihetan hydropower station, significant time-dependent deformation of the surrounding rock was observed, posing a serious challenge to the long-term stability control of the caverns. In this study, numerical models of the layered excavation for typical monitoring sections in the main and auxiliary powerhouses on both banks of the Baihetan hydropower station were established using a viscoplastic damage model. The time-dependent deformation responses of the surrounding rock during the entire underground cavern excavation process were successfully simulated, and the deformation and failure mechanisms of the surrounding rock during layered excavation were analyzed in combination with field monitoring data. The results demonstrate that the maximum stress trajectories at the right-bank powerhouse under higher stress conditions exceeded those at the left-bank powerhouse by 6 MPa after the powerhouse excavation. A larger stress difference caused stress trajectories to move closer to the rock strength surface, therefore making creep failure more likely to occur in the right bank. Targeted reinforcement in high-disturbance zones of the right-bank powerhouse reduced the damage progression rate at borehole openings from 0.295 per month to 0.0015 per month, effectively suppressing abrupt deformations caused by cumulative damage. These findings provide a basis for optimizing the excavation design of deep underground caverns.
Authors
- Jun Wang (ORCID: https://orcid.org/0000-0001-9368-3901)
- Jian Tao (ORCID: https://orcid.org/0000-0003-4228-6089)
- Wenjie Zu
Institutions
- Guizhou University (CN)
- Guizhou Minzu University (CN)
Publication Details
- Journal
- Processes
- Published
- 2025-07-14
- DOI
- https://doi.org/10.3390/pr13072244
- Primary Topic
- Geoscience and Mining Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guizhou University