An adaptive sampling approach to reduce uncertainty in slope stability analysis

作者：Cai, Jing-Sen; Yeh, Tian-Chyi Jim^*; Yan, E-Chuan; Tang, Rui-Xuan; Wen, Jet-Chau; Huang, Shao-Yang

来源：Landslides, 2018, 15(6): 1193-1204.

DOI：10.1007/s10346-017-0936-2

• Conditional analysis
• Sampling approach
• Slope stability
• Reliability
• Shear strength
• Spatial variability

An adaptive sampling approach is proposed, which can sample spatially varying shear strength parameters efficiently to reduce uncertainty in the slope stability analysis. This approach employs a limit equilibrium model and stochastic conditional methodology to determine the likely sampling locations. Karhunen-LoSve expansion is used to conduct the conditional Monte Carlo simulation. A first-order analysis is also proposed to ease the computational burden associated with Monte Carlo simulation. These approaches are then tested using borehole data from a field site. Results indicate that the proposed adaptive sampling approach is an effective and efficient sampling scheme for reducing uncertainty in slope stability analysis.

• 出版日期2018-6
• 单位中国地质大学（北京）; 天津师范大学