Artificial Intelligence (AI) and Machine Learning (ML) Technology-Driven Structural Systems

Abstract

This chapter explores the integration of artificial intelligence (AI) and machine learning (ML) technologies in structural engineering, focusing on their applications in automating design processes, optimizing structural configurations, and assessing performance metrics. It highlights the efficiency of AI-driven algorithms in generating design alternatives, predicting structural behavior, and enhancing sustainability. The chapter also provides a performance comparison framework for evaluating different structural designs, considering safety, cost-effectiveness, and environmental impact. It discusses case studies and practical examples that demonstrate the advantages of AI/ML-driven autonomous design in achieving superior structural performance while minimizing resource utilization. The chapter emphasizes the potential of AI and ML in revolutionizing structural engineering, enabling engineers to create sustainable and high-performing structures, contributing to a more environmentally conscious and economically viable built environment.