Explainable machine learning model for liquefaction potential assessment of soils using XGBoost-SHAP
K Jas, GR Dodagoudar - Soil Dynamics and Earthquake Engineering, 2023 - Elsevier
Most of the existing machine learning (ML)-based models for liquefaction assessment of
soils are black-box in nature. Database considered in the existing studies for model …
soils are black-box in nature. Database considered in the existing studies for model …
Empirical prediction equations for peak ground velocity derived from strong-motion records from Europe and the Middle East
Peak ground velocity (pgv) has many applications in earthquake engineering, but there are
relatively few prediction equations for this parameter in comparison with the large numbers …
relatively few prediction equations for this parameter in comparison with the large numbers …
Identification of optimal ground-motion intensity measures for assessing liquefaction triggering and lateral displacement of liquefiable sloping grounds
This article aims at identifying the optimal scalar-and vector-valued intensity measures (IMs)
for predicting liquefaction triggering and the consequence of liquefaction (ie permanent …
for predicting liquefaction triggering and the consequence of liquefaction (ie permanent …
[HTML][HTML] A recurrent-neural-network-based generalized ground-motion model for the Chilean subduction seismic environment
This paper proposes a deep learning-based generalized ground motion model (GGMM) for
interface and intraslab subduction earthquakes recorded in Chile. A total of∼ 7000 ground …
interface and intraslab subduction earthquakes recorded in Chile. A total of∼ 7000 ground …
Empirical correlations between peak ground velocity and spectrum-based intensity measures
BA Bradley - Earthquake Spectra, 2012 - journals.sagepub.com
Empirical correlation equations between peak ground velocity (PGV) and several spectrum-
based ground motion intensity measures are developed. The intensity measures examined …
based ground motion intensity measures are developed. The intensity measures examined …
The prediction and use of peak ground velocity
JJ Bommer, JE Alarcon - Journal of Earthquake Engineering, 2006 - World Scientific
Peak ground velocity (PGV) has received much less attention in the technical literature than
more widely-used parameters such as peak ground acceleration (PGA) and response …
more widely-used parameters such as peak ground acceleration (PGA) and response …
Failure mechanisms of pile foundations in liquefiable soil: Parametric study
This paper presents the response of piles in liquefiable soil under seismic loads. The effects
of soil, pile, and earthquake parameters on the two potential pile failure mechanisms …
of soil, pile, and earthquake parameters on the two potential pile failure mechanisms …
Numerical evaluation of seismic response of shallow foundation on loose silt and silty sand
This study includes the results of a set of numerical simulations carried out for sands
containing plastic/non-plastic fines, and silts with relative densities of approximately 30 …
containing plastic/non-plastic fines, and silts with relative densities of approximately 30 …
A liquefaction occurrence model for regional analysis
L Todorovic, V Silva - Soil Dynamics and Earthquake Engineering, 2022 - Elsevier
Liquefaction causes damage and economic losses that can exceed the impact caused by
ground shaking in earthquakes. However, probabilistic models to predict liquefaction …
ground shaking in earthquakes. However, probabilistic models to predict liquefaction …
Assessment and prediction of liquefaction potential using different artificial neural network models: a case study
A Abbaszadeh Shahri - Geotechnical and Geological Engineering, 2016 - Springer
Soil liquefaction as a transformation of granular material from solid to liquid state is a type of
ground failure commonly associated with moderate to large earthquakes and refers to the …
ground failure commonly associated with moderate to large earthquakes and refers to the …