Structural Engineering and Mechanics

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Structural damage detection based on Chaotic Artificial Bee Colony algorithm

  • Xu, H.J. (Department of Applied Mechanics and Engineering, Sun Yat-sen University) ;
  • Ding, Z.H. (Department of Applied Mechanics and Engineering, Sun Yat-sen University) ;
  • Lu, Z.R. (Department of Applied Mechanics and Engineering, Sun Yat-sen University) ;
  • Liu, J.K. (Department of Applied Mechanics and Engineering, Sun Yat-sen University)
  • Received : 2015.03.15
  • Accepted : 2015.09.15
  • Published : 2015.09.25
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Abstract

A method for structural damage identification based on Chaotic Artificial Bee Colony (CABC) algorithm is presented. ABC is a heuristic algorithm with simple structure, ease of implementation, good robustness but with slow convergence rate. To overcome the shortcoming, the tournament selection mechanism is chosen instead of the roulette mechanism and chaotic search mechanism is also introduced. Residuals of natural frequencies and modal assurance criteria (MAC) are used to establish the objective function, ABC and CABC are utilized to solve the optimization problem. Two numerical examples are studied to investigate the efficiency and correctness of the proposed method. The simulation results show that the CABC algorithm can identify the local damage better compared with ABC and other evolutionary algorithms, even with noise corruption.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China

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