Enhancing Risk Management and Mitigation for Critical Civil Infrastructures through Advanced Monitoring, Inspection, and Control

Aging and unforeseen events cause civil infrastructure to deteriorate during service life. Accurate understanding of risks due to the deterioration and how the risks evolve over time is essential to making informed decisions for sustainable operation and maintenance. To this end, acquiring critical in-situ data that depicts accurately how structures deteriorate at both local and global scales becomes imperative. This presentation explores recent development in structural health monitoring, inspection, and control using both traditional and emerging sensing techniques for buildings, high-mast illumination poles (HMIP), bridges, and concrete dams. Key topics include optimal virtual sensing strategies for dynamic systems in the absence of input information, field monitoring to unveil wind-induced vibration mechanisms in HMIPs and mitigation strategies, and wireless skin sensor network for continuous fatigue crack monitoring. In addition, a variety of advanced computer vision, artificial intelligence, and augmented reality techniques will be presented for inspection of steel bridges and concrete dams. These developed monitoring and control methodologies play an important role in effective risk management and mitigation of critical infrastructures.