A SI-Based algorithm for structural damage detection

  • Authors:

  • Ling Yu;Peng Xu;Xi Chen

  • Affiliations:

  • Department of Mechanics and Civil Engineering, Jinan University, Guangzhou, China,MOE Key Lab of Disaster Forecast and Control in Engineering, Jinan University, Guangzhou, China;Department of Mechanics and Civil Engineering, Jinan University, Guangzhou, China;Department of Mechanics and Civil Engineering, Jinan University, Guangzhou, China

  • Venue:
  • ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
  • Year:
  • 2012

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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.