Structural Health Monitoring (SHM) plays a vital role in safeguarding the performance and longevity of modern buildings. This course provides an in-depth exploration of SHM technologies and techniques used to detect, analyze, and prevent structural damage in multi-story buildings. Participants will learn how to implement real-time monitoring systems that leverage sensor networks, predictive modeling, and finite element analysis (FEA) to support data-driven maintenance and safety strategies.

Through technical guidance and real-world case studies, the course demonstrates how SHM enables early detection of anomalies, improves asset management, and enhances resilience in complex structures. Learners will also gain insights into emerging innovations—such as wireless sensing, machine learning applications, and cloud-based data interpretation—that are shaping the future of building safety.

By the end of the program, participants will be equipped with the tools and knowledge to design and implement SHM frameworks that deliver continuous performance insight and structural reliability.

Key topics include:

• Real-time data acquisition and predictive damage analysis.
• Advanced sensor technologies and their applications in SHM.
• Finite element modelling for a structural behaviour assessment.