Incipient Damage Detection in a Truss-Type Bridge using vibration responses and MUSIC Technique

Nowadays, with the new developments in both the signal processing and the signal acquisition technology fields, it has been possible to design and develop novel sensing technologies that can detect and process low-amplitude vibration signals, allowing quantifying the generated changes to determine its mechanical condition. In this sense, one method that has proved to be effective for detecting subtle changes in the signals is the multiple signal classification method (MUSIC), since it considers that a vibration signal is formed by complex components embedded in a noisy signal. Since real-life signals fulfill the aforementioned concept, this paper explores the efficacy of the MUSIC algorithm for detecting early-stage damages in a 9-bay truss type steel bridge. The obtained results show that the proposal is effective for detecting early-stage damages of corrosion.