ISI Journals

This article delves into the transformative role of artificial intelligence (AI) and machine learning (ML) in the realm of structural health monitoring (SHM). Focused on the integration of advanced technologies to enhance the assessment and management of infrastructure integrity, this study explores the applications, challenges, and synergies between AI, ML, and SHM. Through an extensive literature review, a robust research methodology, and a presentation of results, the article aims to elucidate how the convergence of these key technologies is reshaping the landscape of structural health monitoring, offering more efficient, accurate, and proactive strategies for infrastructure maintenance and safety.