Reliability analysis of unsaturated soil slope stability using spatial random field-based Bayesian method

• Published in: Landslides Vol. 18; no. 3; pp. 1177 - 1189
• Main Authors: Huang, M. L., Sun, D. A., Wang, C. H., Keleta, Y.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2021; Springer Nature B.V
• Subjects: Agriculture; Bayesian analysis; Boreholes; Canyons; Civil Engineering; Downstream effects; Earth and Environmental Science; Earth Sciences; Fields (mathematics); Fluid mechanics; Geography; Geological hazards; Groundwater; Groundwater levels; Groundwater table; Heavy rainfall; Landslides; Monte Carlo simulation; Natural Hazards; Parameters; Probability theory; Rain; Rainfall; Reliability; Reliability analysis; Reservoir water; Reservoirs; Slope stability; Soil analysis; Soil conditions; Soil mechanics; Soil stability; Stability analysis; Statistical methods; Technical Note; Unsaturated soils; Water level fluctuations; Water levels; Water table; Geotechnical parameters; Reliability analysis; Unsaturated soil slope; Spatial random fields; Bayesian method

Rainfall and water level change are two of the main factors causing failure of reservoir slopes. Thus, soil-fluid mechanics is applied with the fluctuation of groundwater table. However, many of the geotechnical parameters needed for the analysis are highly varied. Spatial random field-based Bayesia...