Inverse PINN paper published in Computer-Aided Civil and Infrastructure Engineering
Our paper “Inverse Physics-Informed Neural Network for CSFM Stress Field Reconstruction in Concrete D-Regions” is now published in Computer-Aided Civil and Infrastructure Engineering (Elsevier). The work reconstructs full stress fields in discontinuity regions of concrete structures from sparse measurements, using a physics-informed neural network constrained by compatible stress field mechanics. Read the article.
Our paper “Inverse Physics-Informed Neural Network for CSFM Stress Field Reconstruction in Concrete D-Regions” is now published in Computer-Aided Civil and Infrastructure Engineering (Elsevier). The work reconstructs full stress fields in discontinuity regions of concrete structures from sparse measurements, using a physics-informed neural network constrained by compatible stress field mechanics. Read the article.