Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges
W Zhang, X Gu, L Hong, L Han, L Wang - Applied Soft Computing, 2023 - Elsevier
Geotechnical reliability analysis provides a novel way to rationally take the underlying
geotechnical uncertainties into account and evaluate the stability of geotechnical structures …
geotechnical uncertainties into account and evaluate the stability of geotechnical structures …
Efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms
W Zhang, C Wu, L Tang, X Gu, L Wang - Gondwana Research, 2023 - Elsevier
Abstract The Three Gorges Reservoir Area (TGRA) is one of the most important areas for
landslide prevention and mitigation in China. Rational reliability analysis of reservoir slope …
landslide prevention and mitigation in China. Rational reliability analysis of reservoir slope …
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 …
Prediction of wall deflection induced by braced excavation in spatially variable soils via convolutional neural network
Recently, the random field finite element method (RF-FEM) has attracted significantly
increasing attention in the field of geotechnical engineering, especially for the purpose of …
increasing attention in the field of geotechnical engineering, especially for the purpose of …
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 …
Process-oriented guidelines for systematic improvement of supervised learning research in construction engineering
A limited assessment of the development process and various stages of machine learning
(ML) based solutions for construction engineering (CE) problems are available in the …
(ML) based solutions for construction engineering (CE) problems are available in the …
Analytical fragility relation for buried cast iron pipelines with lead-caulked joints based on machine learning algorithms
A new numerical-based fragility relation for cast iron (CI) pipelines with lead-caulked joints
subjected to seismic body-wave propagation is proposed in this article. Two-dimensional …
subjected to seismic body-wave propagation is proposed in this article. Two-dimensional …
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 …
Prediction of maximum ground surface settlement induced by shield tunneling using XGBoost algorithm with golden-sine seagull optimization
In order to avoid damage during shield tunnel construction to adjacent buildings on the
ground, it is of paramount importance to precisely predict the Maximum Surface Settlement …
ground, it is of paramount importance to precisely predict the Maximum Surface Settlement …
Intelligent prediction models based on machine learning for CO2 capture performance by graphene oxide-based adsorbents
Designing a model to connect CO2 adsorption data with various adsorbents based on
graphene oxide (GO) which is produced from various forms of solid biomass, can be a …
graphene oxide (GO) which is produced from various forms of solid biomass, can be a …