Geohazards in the three Gorges Reservoir Area, China – Lessons learned from decades of research

A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties

http://swrh.whu.edu.cn/dianqing/images/pdf-files/2014-Slope_reliability_analysis_considering_spatially_variable_shear_strength_parameters.pdf

Slope reliability analysis considering spatially variable shear strength parameters using a non-intrusive stochastic finite element method

Monte Carlo simulation (MCS) provides a conceptually simple and robust method to evaluate the system reliability of slope stability, particularly in spatially variable soils. However, it suffers from a lack of efficiency at small probability levels, which are of great interest in geotechnical design practice. To address this problem, this paper develops a MCS-based approach for efficient evaluation of the system failure probability P f , s of slope stability in spatially variable soils. The proposed approach allows explicit modeling of the inherent spatial variability of soil properties in a system reliability analysis of slope stability. It facilitates the slope system reliability analysis using representative slip surfaces (i.e., dominating slope failure modes) and multiple stochastic response surfaces. Based on the stochastic response surfaces, the values of P f , s are efficiently calculated using MCS with negligible computational effort. For illustration, the proposed MCS-based system reliab...

http://swrh.whu.edu.cn/dianqing/images/pdf-files/2015-Efficient_System_Reliability_Analysis_of_Slope_Stability_in_Spatially_Variable_Soils_Using_Monte_Carlo_Simulation.pdf

Efficient System Reliability Analysis of Slope Stability in Spatially Variable Soils Using Monte Carlo Simulation

Landslide is one of the repeated geological hazards during rainy season, which causes fatalities, damage to property and economic losses in Korea. Landslides are responsible for at least 17% of all fatalities from natural hazards worldwide, and nearly 25% of annual casualties caused by natural hazards in Korea. Due to global climate change, the frequency of landslide occurrence has been increased and subsequently, the losses and damages associated with landslides also have been increased. Therefore, accurate prediction of landslide occurrence, and monitoring and early warning for ground movements are very important tasks to reduce the damages and losses caused by landslides. Various studies on landslide prediction and reduction in landslide damage have been performed and consequently, much of the recent progress has been in these areas. In particular, the application of information and geospatial technologies such as remote sensing and geographic information systems (GIS) has greatly contributed to landslide hazard assessment studies over recent years. In this paper, the recent advances and the state-of-the-art in the essential components of the landslide hazard assessment, such as landslide susceptibility analysis, runout modeling, landslide monitoring and early warning, were reviewed. Especially, this paper focused on the evaluation of the landslide susceptibility using probabilistic approach and physically based method, runout evaluation using volume based model and dynamic model, in situ ground based monitoring techniques, remote sensing techniques for landslide monitoring, and landslide early warning using rainfall and physical thresholds.

Landslide prediction, monitoring and early warning: a concise review of state-of-the-art

http://swrh.whu.edu.cn/dianqing/images/pdf-files/2014-Effect_of_spatially_variable_shear_strength_parameters_with_linearly.pdf

Xiao Hui Qi

Papers

Effect of spatially variable shear strength parameters with linearly increasing mean trend on reliability of infinite slopes

Evaluating slope stability uncertainty using coupled Markov chain

Simulation of geologic uncertainty using coupled Markov chain

Effect of spatial variability of shear strength parameters on critical slip surfaces of slopes

An efficient probabilistic back-analysis method for braced excavations using wall deflection data at multiple points