Advanced Signal Processing, System Identification, and Machine Learning for Structural Health Monitoring
Structural Health Monitoring (SHM) is an interdisciplinary engineering field that combines structural mechanics, vibration analysis, signal processing, system identification, statistical analysis, and artificial intelligence to evaluate the condition and performance of civil infrastructure. Bridges, high-rise buildings, dams, tunnels, and other critical structures are continuously exposed to environmental and operational influences, including wind, traffic, temperature variations, earthquakes, and material deterioration. These influences generate dynamic responses that can be measured using accelerometers, strain gauges, displacement sensors, inclinometers, and other sensing technologies. The primary objective of SHM is not simply to detect unusual sensor measurements. Rather, it is to determine whether changes in measured responses indicate variations in environmental conditions, sensor malfunctions, changes in structural properties, or potentially significant struc...