This video lecture explores how artificial intelligence (AI) and machine learning (ML) are transforming structural engineering. The lecture traces the evolution of structural analysis from traditional empirical methods to advanced computational tools like finite element analysis (FEA). It highlights the challenges faced by conventional approaches in addressing dynamic real-world conditions and demonstrates how AI-driven techniques enhance design optimization, predictive maintenance, and risk assessment.
Key topics include AI-powered design iteration for material efficiency, real-time monitoring through IoT sensors for predictive maintenance, and AI’s role in assessing structural integrity against natural disasters. As the industry moves toward smarter, more resilient infrastructure, understanding AI’s potential is crucial for engineers. This lecture provides valuable insights for students, professionals, and researchers looking to integrate AI into modern engineering practices.
