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Seismic fragility and demand hazard analyses for earth slopes incorporating soil property variability
Fragility functions and demand hazard curves are important metrics for assessing the
seismic damage and risk of an engineering system. This study aims at conducting seismic …
seismic damage and risk of an engineering system. This study aims at conducting seismic …
A novel dimension reduction-based metamodel approach for efficient slope reliability analysis considering soil spatial variability
The surrogate models become increasingly used in slope reliability problems, in which the
expensive-to-evaluate slope deterministic analysis model is replaced with the cheap-to …
expensive-to-evaluate slope deterministic analysis model is replaced with the cheap-to …
Seismic safety evaluation of slope with spatially variable soils based on collaborative analysis via optimized subset simulation
D Zhu, R Pang, M Xu, J Chen, B Xu - Computers and Geotechnics, 2024 - Elsevier
The results of slope seismic safety evaluation are affected by the uncertainty of geotechnical
material parameters, seismic dynamic characteristics, safety evaluation indexes and other …
material parameters, seismic dynamic characteristics, safety evaluation indexes and other …
[HTML][HTML] An improved BUS approach for Bayesian inverse analysis of soil parameters incorporating extensive field data
This study addresses the complexities encountered when integrating site-specific field data
into the Bayesian inverse analysis of soil parameters in geotechnical structures. Traditional …
into the Bayesian inverse analysis of soil parameters in geotechnical structures. Traditional …
[HTML][HTML] Improved Bayesian model updating of geomaterial parameters for slope reliability assessment considering spatial variability
In engineering practice, Bayesian model updating using field data is often conducted to
reduce the substantial inherent epistemic uncertainties in geomaterial properties resulting …
reduce the substantial inherent epistemic uncertainties in geomaterial properties resulting …
Characterizing anisotropic spatial variations of uncertain mechanical parameters for clay layer using incomplete probability data
T Wang, J Cao, J Liu, J Xu, G Zhou - Probabilistic Engineering Mechanics, 2024 - Elsevier
The uncertain mechanical parameters of clay layer under torrential rain are the key to the
dynamic evolution process and stability assessment of landslide geological hazards. Due to …
dynamic evolution process and stability assessment of landslide geological hazards. Due to …
[HTML][HTML] Bayesian inverse analysis with field observation for slope failure mechanism and reliability assessment under rainfall accounting for nonstationary …
Slope failure mechanism and reliability assessment under rainfall usually not only ignores
the nonstationary characteristics of soil hydraulic and shear strength parameters, but also …
the nonstationary characteristics of soil hydraulic and shear strength parameters, but also …
Three-dimensional discrete element analysis of jointed rock slope stability based on the universal elliptical disc model
A three-dimensional representation of the random distribution of fractures in rock masses,
known as the discrete fracture network (DFN), is widely used to analyze the stability of …
known as the discrete fracture network (DFN), is widely used to analyze the stability of …
Safety evaluation method for operational shield tunnels based on semi-supervised learning and a stacking algorithm
The safety assessment of structural defects in operational shield tunnels is crucial for
ensuring their serviceability and safe operation. This study developed a novel …
ensuring their serviceability and safe operation. This study developed a novel …
Generic Models for Predicting Coseismic Displacements of Earth Slopes Based on Numerical Analysis and Machine Learning Algorithm
Generic models for estimating the earthquake-induced displacement of Earth slopes are
developed based on a numerical approach. A number of 14,112 slope models with different …
developed based on a numerical approach. A number of 14,112 slope models with different …