Wujiao Dai
Papers
1
Total Citations
7
H-Index
1
About
Dr. Wujiao Dai is a leading researcher in geotechnical engineering and slope stability, with a focus on advancing probabilistic methods for risk assessment in large-scale infrastructure projects. Their work centers on integrating multi-type monitoring data—both surface and subsurface—to enhance the reliability of back-analysis in complex rock slopes. In their highly cited 2025 study on the Baihetan left bank slope, Dr. Dai demonstrated how combining internal and external deformation observations can significantly improve Bayesian probabilistic back-analysis efficiency, offering a novel framework for capturing rock mass deterioration during hydropower construction. This contribution has garnered 7 citations in a short time, reflecting its immediate impact on the field. Dr. Dai’s research bridges the gap between theoretical probabilistic models and practical engineering challenges, providing actionable insights for monitoring high-steep slopes in seismic and hydrologically active regions. Their work is instrumental for engineers and researchers tackling slope stability in mega-projects, where early detection of deformation is critical for safety. Dr. Dai’s innovative approach continues to shape best practices in geotechnical monitoring and risk mitigation.
Research Focus
Key Achievements
Top Papers
- 1