Structural Health Monitoring Techniques

Structural health monitoring is the practice of continuously or periodically measuring the physical response of bridges, buildings, and other infrastructure to assess whether damage or deterioration has occurred. Sensors embedded in or attached to a structure record how it vibrates, deforms, or responds to loads, and researchers use that data to infer changes in stiffness, mass distribution, or material integrity that would otherwise go undetected until failure. A central challenge is separating genuine structural change from the noise introduced by shifting environmental conditions like temperature and humidity, which can mimic or mask damage signals. Current work is pushing toward denser, low-cost wireless sensor networks combined with machine learning and Bayesian inference methods that can update damage assessments in near real time as new measurements arrive.

Works

129,674

Total citations

1,442,217

Keywords

Vibration-based Damage IdentificationWireless SensorsModal IdentificationStructural Damage DetectionModel UpdatingBayesian System Identification