Hong-Xi Qin

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...