Aleksa Milićević

AI‐Driven Optimization and Surrogate Modelling Framework for Predicting Steel Joint Behaviour

Steel joint behaviour governs the stiffness, strength, and ductility of steel structures, yet post‐limit response remains insufficiently defined in current design practice. This paper presents a Physics‐Informed Neural Network (PINN)‐based surrogate modelling framework for welded beam‐to‐column joints. The approach bui...

THE ARTIFICIAL INTELLIGENCE IN STEEL STRUCTURES: METHODS, APPLICATIONS AND PERSPECTIVES ON JOINT BEHAVIOUR

ARTIFICIAL INTELLIGENCE IN STEEL STRUCTURES: METHODS, APPLICATIONS AND PERSPECTIVES ON JOINT BEHAVIOUR

<p>Artificial intelligence (AI) is emerging as a powerful tool in structural engineering, enabling data-driven alternatives to traditional analytical and numerical methods. In steel structures, AI has been applied to design optimisation, structural health monitoring, and reliability assessment; however, its application...