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What geotechnical engineers want to know about reliability
KK Phoon - ASCE-ASME Journal of Risk and Uncertainty in …, 2023 - ascelibrary.org
The purpose of this paper is to address the “what,”“why,” and “how” questions posed by
engineers who are not familiar with geotechnical reliability and have not kept abreast of …
engineers who are not familiar with geotechnical reliability and have not kept abreast of …
[HTML][HTML] Application of machine learning techniques for the estimation of the safety factor in slope stability analysis
Slope stability is the most important stage in the stabilization process for different scale
slopes, and it is dictated by the factor of safety (FS). The FS is a relationship between the …
slopes, and it is dictated by the factor of safety (FS). The FS is a relationship between the …
Variance reduction function for a potential inclined slip line in a spatially variable soil
Variance reduction function for a spatially variable soil property is an important factor that
affects the spatial average-based characteristic value, which in turn influences the design of …
affects the spatial average-based characteristic value, which in turn influences the design of …
Stochastic assessment of landslide influence zone by material point method and generalized geotechnical random field theory
In landslide analysis, reliable prediction of landslide's influence zone is significantly difficult
due to the inherent heterogeneity of soils and their spatially varying geological properties. In …
due to the inherent heterogeneity of soils and their spatially varying geological properties. In …
Convolutional neural networks prediction of the factor of safety of random layered slopes by the strength reduction method
The strength reduction method is often used to predict the stability of soil slopes with
complex soil properties and failure mechanisms. However, it requires a considerable …
complex soil properties and failure mechanisms. However, it requires a considerable …
[HTML][HTML] Slope stability prediction using principal component analysis and hybrid machine learning approaches
D Lei, Y Zhang, Z Lu, H Lin, B Fang, Z Jiang - Applied Sciences, 2024 - mdpi.com
Traditional slope stability analysis methods are time-consuming, complex, and cannot
provide fast stability estimates when facing a large amount of slope cases. In this case …
provide fast stability estimates when facing a large amount of slope cases. In this case …
Recent tendencies in the use of optimization techniques in geotechnics: A review
D Boumezerane - Geotechnics, 2022 - mdpi.com
The use of optimization methods in geotechnics dates back to the 1950s. They were used in
slope stability analysis (Bishop) and evolved to a wide range of applications in ground …
slope stability analysis (Bishop) and evolved to a wide range of applications in ground …
Time capsule for landslide risk assessment
Landslides, one of the most common mountain hazards, can result in enormous casualties
and huge economic losses in mountainous regions. In order to address the landslide …
and huge economic losses in mountainous regions. In order to address the landslide …
[HTML][HTML] Slope stability analysis based on improved radial movement optimization considering seepage effect
L **, J Wei, C Luo, T Qin - Alexandria Engineering Journal, 2023 - Elsevier
Among various effecting factors, groundwater is commonly known as one of the major
triggers for slope failures. Thus, it is great significant of considering the contribution from …
triggers for slope failures. Thus, it is great significant of considering the contribution from …
Three-dimensional soil slope dynamic stability assessment using minimum potential energy approach
J Sun, T Yu, P Dong - Soil Dynamics and Earthquake Engineering, 2023 - Elsevier
This study introduces a new stability analysis method of 3D slopes under the earthquake
forces by combining the minimum potential energy method with pseudo-dynamic method. A …
forces by combining the minimum potential energy method with pseudo-dynamic method. A …