Jie Shu

A novel hybrid prediction approach for critical buckling strain of dented subsea pipelines coupling symbol regression and physics-informed neural networks

This study proposes a novel hybrid approach to predict the critical buckling strain (CBS) of dented subsea pipelines by coupling symbolic regression (SR) with physics-informed neural networks (PINNs). A 3D finite element model was developed to simulate pressurization, indentation...