Physics-guided XGBoost Model for Stability Prediction of Dual Horseshoe Tunnels in Cohesive-frictional Soils

Physics-Guided Feature Engineering and Machine Learning for Small-Sample Prediction of Offshore Monopile Self-Weight Penetration

Reliable prediction of monopile self-weight penetration depth is essential for drivability assessment and installation planning but remains challenging because of nonlinear pile–soil interaction and limited field data. This study compiles records from 143 large-diameter monopiles at five Chinese offshore wind farms and...

A Thermodynamically Consistent Hyperelastic Potential for Unbound Granular Materials: Critical-State Formulation, Machine-Learning Benchmarking, and Finite Element Application

Two paradigms dominate the literature on resilient strain behaviour of unbound granular materials (UGMs): empirical formulations, often lacking theoretical grounding, and machine learning (ML) models, operating as black boxes. This study proposes a hyperelastic strain energy potential—the KHP (Karasahin Hyperelastic Po...

A Physics–Data Dual-Driven PINN Framework Incorporating Non-Uniform Rust Expansion for Predicting Bond Strength of Corroded RC Structures

Bond strength degradation of corroded reinforced concrete (RC) structures involves complex mechanical interactions that are difficult to capture through experimental or purely data-driven methods alone. This study proposes a physics-informed neural network (PINN) framework that embeds a thin-walled cylinder rust expans...

Interpretable prediction of uniaxial compressive strength for diverse rock materials: a stacking ensemble approach

Uniaxial compressive strength (UCS) is critical for geotechnical design, yet conventional testing is costly and empirical formulas fail to adequately capture inherent nonlinearities. This study proposes an interpretable predictive framework that combines a two-stage heterogeneous stacking ensemble with SHapley Additi...

A Physics-Data Hybrid Model for Predicting Earth Pressure Evolution in Buried Horizontal Cylindrical Tanks

Buried horizontal cylindrical tanks are susceptible to stress instabilities, such as shell buckling and weld fatigue, under nonuniform ground settlement. Classical Terzaghi-based earth pressure theories simplify key parameters into static constants, rendering them inadequate for capturing the dynamic soil-tank inte...

Physics-Informed Learning of Stress-Dependent Stiffness in the Hardening Soil Model