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 …
Predictive models for seismic source parameters based on machine learning and general orthogonal regression approaches
Two sets of predictive models are developed based on the machine learning (ML) and
general orthogonal regression (GOR) approaches for predicting the seismic source …
general orthogonal regression (GOR) approaches for predicting the seismic source …
SS-XGBoost: a machine learning framework for predicting newmark sliding displacements of slopes
Estimation of Newmark sliding displacement plays an important role for evaluating seismic
stability of slopes. Current empirical models generally utilize predefined functional forms and …
stability of slopes. Current empirical models generally utilize predefined functional forms and …
Material point method for large-deformation modeling of coseismic landslide and liquefaction-induced dam failure
Abstract In this study, Material Point Method (MPM) is improved to simulate coseismic slope
stability and liquefaction-induced embankment failure under earthquake loading. First, by …
stability and liquefaction-induced embankment failure under earthquake loading. First, by …
Physics-based large-deformation analysis of coseismic landslides: A multiscale 3D SEM-MPM framework with application to the Hongshiyan landslide
A multiscale framework is developed based on the spectral element method (SEM) and
material point method (MPM) for the large-deformation analysis of coseismic landslides. At a …
material point method (MPM) for the large-deformation analysis of coseismic landslides. At a …
Parametric models for 3 D t o p o g r a p h i c a m p l i f i c a t i o n o f ground motions considering subsurface soils
Amplification of seismic waves due to surface topography and subsurface soils has often
been observed to cause intensive damage in past earthquakes. Due to its complexity …
been observed to cause intensive damage in past earthquakes. Due to its complexity …
Multi‐hazard typhoon and earthquake collapse fragility models for transmission towers: An active learning reliability approach using gradient boosting classifiers
Natural hazards such as earthquakes and typhoons pose a considerable threat to the power
transmission grid. In regions prone to both hazards, the overhead transmission infrastructure …
transmission grid. In regions prone to both hazards, the overhead transmission infrastructure …
Influence of spatial variability of soil strength parameters on probabilistic seismic slope displacement hazard analysis
Permanent sliding displacement analysis is commonly used to evaluate the seismic
performance of slopes. Specifically, the fully probabilistic seismic slope displacement hazard …
performance of slopes. Specifically, the fully probabilistic seismic slope displacement hazard …
Three-dimensional material point method modeling of runout behavior of the Hongshiyan landslide
X Xu, F Jin, Q Sun, K Soga… - Canadian Geotechnical …, 2019 - cdnsciencepub.com
This study presents a field-scale simulation of the Hongshiyan landslide in China. It uses an
advanced numerical approach (material point method (MPM)) and a constitutive model (the …
advanced numerical approach (material point method (MPM)) and a constitutive model (the …
An integrated SEM-Newmark model for physics-based regional coseismic landslide assessment
Earthquake-induced landslides are one of the most catastrophic effects of earthquakes, as
evidenced by many historic events over the past decades, such as the 1994 Northridge …
evidenced by many historic events over the past decades, such as the 1994 Northridge …