Pin Zhang

发表

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

Yin‐Fu Jin, Z. Yin, G. Ye, 2020, International Journal for Numerical and Analytical Methods in Geomechanics.

A novel hybrid surrogate intelligent model for creep index prediction based on particle swarm optimization and random forest

Yin‐Fu Jin, Z. Yin, Pin Zhang, 2020 .

Straightforward prediction for air-entry value of compacted soils using machine learning algorithms

Yin-Fu Jin, Zhen-Yu Yin, Pin Zhang, 2020 .

Analytical and Semi-Analytical Solutions for Describing Tunneling-Induced Transverse and Longitudinal Settlement Troughs

Zhen-Yu Yin, Ren-Peng Chen, Z. Yin, 2020 .

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

Yin-Fu Jin, Pin Zhang, Fu-Ping Gao, 2021, Geoscience Frontiers.

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

Yin‐Fu Jin, Z. Yin, B. Sheil, 2022, International Journal for Numerical and Analytical Methods in Geomechanics.

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

Yin‐Fu Jin, Z. Yin, Pin Zhang, 2021, Acta Geotechnica.

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

Yin‐Fu Jin, Z. Yin, Pin Zhang, 2021, Archives of Computational Methods in Engineering.

Random forest based artificial intelligent model for predicting failure envelopes of caisson foundations in sand

Yi Yang, Yin-Fu Jin, Pin Zhang, 2020 .

A novel deep learning-based modelling strategy from image of particles to mechanical properties for granular materials with CNN and BiLSTM

Zhen-Yu Yin, Pin Zhang, Z. Yin, 2021 .

Bayesian Neural Network-based Uncertainty Modelling: Application to Soil Compressibility and Undrained Shear Strength Prediction

Yin‐Fu Jin, Z. Yin, Pin Zhang, 2021, Canadian Geotechnical Journal.

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

Zhen-Yu Yin, Yin-Fu Jin, Pin Zhang, 2021, Archives of Computational Methods in Engineering.

BiLSTM-Based Soil–Structure Interface Modeling

Z. Yin, Pin Zhang, Yi Yang, 2021, International Journal of Geomechanics.

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

Yin‐Fu Jin, Z. Yin, Pin Zhang, 2021 .

Image-Based 3D Reconstruction of Granular Grains via Hybrid Algorithm and Level Set with Convolution Kernel

Z. Yin, Pin Zhang, Qiushi Chen, 2022, Journal of Geotechnical and Geoenvironmental Engineering.

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

Yin‐Fu Jin, Z. Yin, Pin Zhang, 2021, International Journal for Numerical and Analytical Methods in Geomechanics.

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

Yin‐Fu Jin, Z. Yin, Jie Yang, 2022, Journal of Engineering Mechanics.

Reinforcement learning based optimizer for improvement of predicting tunneling-induced ground responses

Heng Li, Pin Zhang, Q. P. Ha, 2020, Adv. Eng. Informatics.

A LSTM surrogate modelling approach for caisson foundations

Yuanyuan Zheng, Pin Zhang, Fu-Ping Gao, 2020 .

Multi-fidelity data-driven modelling of rate-dependent behaviour of soft clays

Yin‐Fu Jin, Z. Yin, Yi Yang, 2022, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards.

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

Zhen-Yu Yin, Yin-Fu Jin, Pin Zhang, 2021 .

Interpretable data-driven constitutive modelling of soils with sparse data

Z. Yin, B. Sheil, Pin Zhang, 2023, Computers and Geotechnics.

A physics-informed data-driven approach for consolidation analysis

Z. Yin, B. Sheil, Pin Zhang, 2022, Géotechnique.

Physics-Informed neural network solver for numerical analysis in geoengineering

Pin Zhang, Xiao-Xuan Chen, Zhen-Yu Yin, 2024, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards.