Abstract

As a challenging task in the structural health monitoring (SHM) field, structural damage detection, one of most important issues of the SHM system, is mathematically converted into a constrained optimization problem, which is then hopefully solved by a swarm intelligence (SI) based algorithm proposed in this paper. The performance of the proposed algorithm is experimentally evaluated by the measured data of four damage patterns of a building model of 3-storey steel frame structure made in laboratory. Some illustrated results show that the proposed method is very suitable for the structural multi-damage identification, which also show that the SI-based algorithm for structural damage detection can provide an effective and robust tool in the SHM field.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.