Applications of neural networks in civil engineering

This book discusses the applications of neural networks in civil engineering, with emphasis on the structural design of reinforced concrete earthquake-resistant systems. It presents how neural models can support seismic response prediction, preliminary optimization, damage detection and technical decision making. The book maintains a critical view: artificial intelligence does not replace professional judgment, but can strengthen it when used with reliable data, rigorous validation, and responsible structural interpretation.