Advances in reliability and risk analyses of slopes in spatially variable soils: A state-of-the-art review
Spatial variability of soil properties was rarely taken into account directly in traditional slope
stability analyses, rather some “average” or suitably “pessimistic” properties are assumed to …
stability analyses, rather some “average” or suitably “pessimistic” properties are assumed to …
Regional seismic risk and resilience assessment: Methodological development, applicability, and future research needs–An earthquake engineering perspective
Given the devastating losses incurred by past major earthquake events together with the
ever-increasing global seismic exposures due to population growth and urbanization …
ever-increasing global seismic exposures due to population growth and urbanization …
[HTML][HTML] Landslide identification using machine learning
Landslide identification is critical for risk assessment and mitigation. This paper proposes a
novel machine-learning and deep-learning method to identify natural-terrain landslides …
novel machine-learning and deep-learning method to identify natural-terrain landslides …
Landslide prediction, monitoring and early warning: a concise review of state-of-the-art
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 …
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …
Probabilistic stability analysis of earth dam slope under transient seepage using multivariate adaptive regression splines
L Wang, C Wu, X Gu, H Liu, G Mei, W Zhang - Bulletin of Engineering …, 2020 - Springer
Earth dams are widespread throughout the world and their safety has gained increasing
concern from geotechnical engineering societies. Although probabilistic stability analysis …
concern from geotechnical engineering societies. Although probabilistic stability analysis …
Slope reliability analysis considering spatially variable shear strength parameters using a non-intrusive stochastic finite element method
This paper proposes a non-intrusive stochastic finite element method for slope reliability
analysis considering spatially variable shear strength parameters. The two-dimensional …
analysis considering spatially variable shear strength parameters. The two-dimensional …
[HTML][HTML] Modeling shallow landslides and root reinforcement: A review
Abstract Slope Stability Models (SSMs) are valuable tools used as decision support in land
management to mitigate catastrophic effects caused by rainfall-induced shallow landslides …
management to mitigate catastrophic effects caused by rainfall-induced shallow landslides …
Effect of spatially variable shear strength parameters with linearly increasing mean trend on reliability of infinite slopes
This paper studies the reliability of infinite slopes in the presence of spatially variable shear
strength parameters that increase linearly with depth. The mean trend of the shear strength …
strength parameters that increase linearly with depth. The mean trend of the shear strength …
Copula-based approaches for evaluating slope reliability under incomplete probability information
Slope reliability under incomplete probability information is a challenging problem. In this
study, three copula-based approaches are proposed to evaluate slope reliability under …
study, three copula-based approaches are proposed to evaluate slope reliability under …
Probabilistic stability analysis of rainfall-induced landslides considering spatial variability of permeability
SE Cho - Engineering Geology, 2014 - Elsevier
Many regions around the world are vulnerable to rainfall-induced landslides. A variety of
methods have been proposed for revealing the mechanism of landslide initiation. Current …
methods have been proposed for revealing the mechanism of landslide initiation. Current …