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Bayesian neural network-based uncertainty modelling: application to soil compressibility and undrained shear strength prediction

Canadian geotechnical journal, 2022-04, Vol.59 (4), p.546-557

2022

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Optimization techniques for identifying soil parameters in geotechnical engineering: Comparative study and enhancement

International journal for numerical and analytical methods in geomechanics, 2018-01, Vol.42 (1), p.70-94

2018

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State-of-the-Art Review of Machine Learning Applications in Constitutive Modeling of Soils

Archives of computational methods in engineering, 2021-08, Vol.28 (5), p.3661-3686

2021

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Enhancement of backtracking search algorithm for identifying soil parameters

International journal for numerical and analytical methods in geomechanics, 2020-06, Vol.44 (9), p.1239-1261

2020

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Physics-Informed Multifidelity Residual Neural Networks for Hydromechanical Modeling of Granular Soils and Foundation Considering Internal Erosion

Journal of engineering mechanics, 2022-04, Vol.148 (4)

2022

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Machine Learning-Based Modelling of Soil Properties for Geotechnical Design: Review, Tool Development and Comparison

Archives of computational methods in engineering, 2022-03, Vol.29 (2), p.1229-1245

2022

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Machine learning–based uncertainty modelling of mechanical properties of soft clays relating to time‐dependent behavior and its application

International journal for numerical and analytical methods in geomechanics, 2021-08, Vol.45 (11), p.1588-1602

2021

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An AI‐based model for describing cyclic characteristics of granular materials

International journal for numerical and analytical methods in geomechanics, 2020-06, Vol.44 (9), p.1315-1335

2020

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Modeling Mechanical Behavior of Very Coarse Granular Materials

Journal of engineering mechanics, 2017-01, Vol.143 (1)

2017

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Physics‐constrained hierarchical data‐driven modelling framework for complex path‐dependent behaviour of soils

International journal for numerical and analytical methods in geomechanics, 2022-07, Vol.46 (10), p.1831-1850

2022

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Selection of sand models and identification of parameters using an enhanced genetic algorithm

International journal for numerical and analytical methods in geomechanics, 2016-06, Vol.40 (8), p.1219-1240

2016

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Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms

Di xue qian yuan., 2021-01, Vol.12 (1), p.441-452

2021

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Bayesian model selection for sand with generalization ability evaluation

International journal for numerical and analytical methods in geomechanics, 2019-10, Vol.43 (14), p.2305-2327

2019

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An edge‐based strain smoothing particle finite element method for large deformation problems in geotechnical engineering

International journal for numerical and analytical methods in geomechanics, 2020-05, Vol.44 (7), p.923-941

2020

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Risk assessment of e-waste - Liquid Crystal Monomers re-suspension caused by coastal dredging operations

The Science of the total environment, 2024-07, Vol.933, p.173176-173176, Article 173176

2024

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Overcoming volumetric locking in stable node‐based smoothed particle finite element method with cubic bubble function and selective integration

International journal for numerical methods in engineering, 2022-12, Vol.123 (24), p.6148-6169

2022

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Three‐dimensional quantitative analysis on granular particle shape using convolutional neural network

International journal for numerical and analytical methods in geomechanics, 2022-01, Vol.46 (1), p.187-204

2022

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Identifying parameters of advanced soil models using an enhanced transitional Markov chain Monte Carlo method

Acta geotechnica, 2019-12, Vol.14 (6), p.1925-1947

2019

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An intelligent multi-objective EPR technique with multi-step model selection for correlations of soil properties

Acta geotechnica, 2020-08, Vol.15 (8), p.2053-2073

2020

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A novel stabilized nodal integration formulation using particle finite element method for incompressible flow analysis

International journal for numerical methods in fluids, 2024-06, Vol.96 (6), p.853-883

2024

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Evaluation of Soil–Structure Interface Models

Journal of geotechnical and geoenvironmental engineering, 2024-07, Vol.150 (7)

2024

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A novel coupled NS‐PFEM with stable nodal integration and polynomial pressure projection for geotechnical problems

International journal for numerical and analytical methods in geomechanics, 2022-09, Vol.46 (13), p.2535-2560

2022

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Solidification/stabilization treatment of Hong Kong marine deposits slurry at high water content by ISSA and GGBS

Construction & building materials, 2023-04, Vol.372, p.130817, Article 130817

2023

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An efficient optimization method for identifying parameters of soft structured clay by an enhanced genetic algorithm and elastic–viscoplastic model

Acta geotechnica, 2017-08, Vol.12 (4), p.849-867

2017

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Modelling the mechanical behaviour of soils using machine learning algorithms with explicit formulations

Acta geotechnica, 2022-04, Vol.17 (4), p.1403-1422

2022

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Bayesian neural network-based uncertainty modelling: application to soil compressibility and undrained shear strength prediction

Optimization techniques for identifying soil parameters in geotechnical engineering: Comparative study and enhancement

State-of-the-Art Review of Machine Learning Applications in Constitutive Modeling of Soils

Enhancement of backtracking search algorithm for identifying soil parameters

Physics-Informed Multifidelity Residual Neural Networks for Hydromechanical Modeling of Granular Soils and Foundation Considering Internal Erosion

Machine Learning-Based Modelling of Soil Properties for Geotechnical Design: Review, Tool Development and Comparison

Machine learning–based uncertainty modelling of mechanical properties of soft clays relating to time‐dependent behavior and its application

An AI‐based model for describing cyclic characteristics of granular materials

Modeling Mechanical Behavior of Very Coarse Granular Materials

Physics‐constrained hierarchical data‐driven modelling framework for complex path‐dependent behaviour of soils

Selection of sand models and identification of parameters using an enhanced genetic algorithm

Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms

Bayesian model selection for sand with generalization ability evaluation

An edge‐based strain smoothing particle finite element method for large deformation problems in geotechnical engineering

Risk assessment of e-waste - Liquid Crystal Monomers re-suspension caused by coastal dredging operations

Overcoming volumetric locking in stable node‐based smoothed particle finite element method with cubic bubble function and selective integration

Three‐dimensional quantitative analysis on granular particle shape using convolutional neural network

Identifying parameters of advanced soil models using an enhanced transitional Markov chain Monte Carlo method

An intelligent multi-objective EPR technique with multi-step model selection for correlations of soil properties

A novel stabilized nodal integration formulation using particle finite element method for incompressible flow analysis

Evaluation of Soil–Structure Interface Models

A novel coupled NS‐PFEM with stable nodal integration and polynomial pressure projection for geotechnical problems

Solidification/stabilization treatment of Hong Kong marine deposits slurry at high water content by ISSA and GGBS

An efficient optimization method for identifying parameters of soft structured clay by an enhanced genetic algorithm and elastic–viscoplastic model

Modelling the mechanical behaviour of soils using machine learning algorithms with explicit formulations

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