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 …
Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges
W Zhang, X Gu, L Hong, L Han, L Wang - Applied Soft Computing, 2023 - Elsevier
Geotechnical reliability analysis provides a novel way to rationally take the underlying
geotechnical uncertainties into account and evaluate the stability of geotechnical structures …
geotechnical uncertainties into account and evaluate the stability of geotechnical structures …
Efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms
W Zhang, C Wu, L Tang, X Gu, L Wang - Gondwana Research, 2023 - Elsevier
Abstract The Three Gorges Reservoir Area (TGRA) is one of the most important areas for
landslide prevention and mitigation in China. Rational reliability analysis of reservoir slope …
landslide prevention and mitigation in China. Rational reliability analysis of reservoir slope …
Deep learning methods for time-dependent reliability analysis of reservoir slopes in spatially variable soils
Abstract The Three Gorges Reservoir Area (TGRA) is one of the most important landslide-
prone regions in China, and rational stability evaluation of reservoir slopes in it is of great …
prone regions in China, and rational stability evaluation of reservoir slopes in it is of great …
Novel approach to estimate vertical scale of fluctuation based on CPT data using convolutional neural networks
The inherent spatial variability of soil properties is the main sauces of uncertainties in the
site investigation, and it is commonly characterized using random field theory. In the context …
site investigation, and it is commonly characterized using random field theory. In the context …
Prediction of wall deflection induced by braced excavation in spatially variable soils via convolutional neural network
Recently, the random field finite element method (RF-FEM) has attracted significantly
increasing attention in the field of geotechnical engineering, especially for the purpose of …
increasing attention in the field of geotechnical engineering, especially for the purpose of …
[HTML][HTML] Interpreting random fields through the U-Net architecture for failure mechanism and deformation predictions of geosystems
The representation of spatial variation of soil properties in the form of random fields permits
advanced probabilistic assessment of slope stability. In many studies, the safety margin of …
advanced probabilistic assessment of slope stability. In many studies, the safety margin of …
[HTML][HTML] Efficient stochastic analysis of unsaturated slopes subjected to various rainfall intensities and patterns
X Gu, L Wang, Q Ou, W Zhang - Geoscience Frontiers, 2023 - Elsevier
Rainfall infiltration poses a disastrous threat to the slope stability in many regions around the
world. This paper proposes an extreme gradient boosting (XGBoost)-based stochastic …
world. This paper proposes an extreme gradient boosting (XGBoost)-based stochastic …
Data augmentation for CNN-based probabilistic slope stability analysis in spatially variable soils
A novel methodology that involves the coupling of Convolutional Neural Networks (CNNs)
and a data augmentation technique is proposed for slope reliability calculations. The …
and a data augmentation technique is proposed for slope reliability calculations. The …
Improved coupled Markov chain method for simulating geological uncertainty
Geological uncertainty is common in nature due to complex depositional processes as one
layer appears to be randomly embedded in neighbouring layers. However, the geo …
layer appears to be randomly embedded in neighbouring layers. However, the geo …