Why “AI” models for predicting soil liquefaction have been ignored, plus some that shouldn't be
BW Maurer, MD Sanger - Earthquake Spectra, 2023 - journals.sagepub.com
Soil liquefaction remains an important and interesting problem that has attracted the
development of enumerable prediction models. Increasingly, these models are utilizing …
development of enumerable prediction models. Increasingly, these models are utilizing …
A review of probabilistic approaches for assessing the liquefaction hazard in urban areas
Several probabilistic liquefaction triggering approaches, or liquefaction manifestation
severity approaches, have been developed to consider the uncertainties related to …
severity approaches, have been developed to consider the uncertainties related to …
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential
Among the research hotspots in geological/geotechnical engineering, research on the
prediction of soil liquefaction potential is still limited. In this research, several machine …
prediction of soil liquefaction potential is still limited. In this research, several machine …
An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and …
Previous major earthquake events have revealed that soils susceptible to liquefaction are
one of the factors causing significant damages to the structures. Therefore, accurate …
one of the factors causing significant damages to the structures. Therefore, accurate …
CPT-based liquefaction triggering procedure
A probabilistic cone penetration test (CPT) based liquefaction triggering procedure for
cohesionless soils is derived using a maximum likelihood method with an updated case …
cohesionless soils is derived using a maximum likelihood method with an updated case …
Explainable machine learning model for liquefaction potential assessment of soils using XGBoost-SHAP
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 …
Shear-wave velocity–based probabilistic and deterministic assessment of seismic soil liquefaction potential
Shear-wave velocity (V s) offers a means to determine the seismic resistance of soil to
liquefaction by a fundamental soil property. This paper presents the results of an 11-year …
liquefaction by a fundamental soil property. This paper presents the results of an 11-year …
The adoption of deep neural network (DNN) to the prediction of soil liquefaction based on shear wave velocity
Y Zhang, Y **e, Y Zhang, J Qiu, S Wu - Bulletin of Engineering Geology …, 2021 - Springer
Soil liquefaction has been accepted as one of the factors causing natural disasters and
engineering failures in the seismic. The mathematic prediction model for soil liquefaction is …
engineering failures in the seismic. The mathematic prediction model for soil liquefaction is …
CPT-based fully probabilistic seismic liquefaction potential assessment to reduce uncertainty: Integrating XGBoost algorithm with Bayesian theorem
Z Zhao, W Duan, G Cai, M Wu, S Liu - Computers and Geotechnics, 2022 - Elsevier
The presence of model and parameter uncertainties significantly affects seismic liquefaction
potential assessments and may lead to improper geotechnical design. This study develops a …
potential assessments and may lead to improper geotechnical design. This study develops a …
CPT-based probabilistic and deterministic assessment of in situ seismic soil liquefaction potential
This paper presents a complete methodology for both probabilistic and deterministic
assessment of seismic soil liquefaction triggering potential based on the cone penetration …
assessment of seismic soil liquefaction triggering potential based on the cone penetration …