A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

Monitoring structural damage is extremely important for sustaining and preserving the service life of civil structures. While successful monitoring provides resolute and staunch information on the health, serviceability, integrity and safety of structures; maintaining continuous performance of a structure depends highly on monitoring the occurrence, formation and propagation of damage. Damage may accumulate on structures due to different environmental and human-induced factors. Numerous monitoring and detection approaches have been developed to provide practical means for early warning against structural damage or any type of anomaly. Considerable effort has been put into vibration-based methods, which utilize…

• UA
  U.S. Air Force

  Awards: FA9550, AFOSR-FA9550-19-0213
• AF
  Air Force Office of Scientific Research

  Awards: FA9550-, AFOSR-FA9550, FA9550, FA9550-19-0213, AFOSR-FA9550-19-0213