1. Structural damage identification based on Cuckoo search algorithm
H. J. Xu1, J. K. Liu2, Z. R. Lu3
Department of Applied Mechanics, Sun Yat-sen
E-mail: email@example.com, firstname.lastname@example.org, email@example.com
(Received 31 March 2015; received in revised form 5 May 2015; accepted 15 May 2015)
Abstract. An optimization approach based on Cuckoo Search (CS) algorithm is proposed for structural local damage detection in this study. The nonlinear objective function for the damage identification problem is established by using the natural frequencies and modal assurance criteria (MAC). The CS algorithm is presented to solve the objective function. A dual‑span continuous beam and a truss structure are studied as numerical example to illustrate the correctness and efficiency of the propose method. Meanwhile, a laboratory work is conducted for further verification. The simulation and experiment results show that the CS algorithm can identify the local structural damages effectively even under measurement noise. The advantage of the present method is that only the first few natural frequencies and mode shapes are needed in the identification.
Keywords: damage identification, Cuckoo search algorithm, modal assurance criteria, frequency domain.
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Cite this article
Xu H. J., Liu J. K., Lu Z. R. Structural damage identification based on Cuckoo search algorithm. Mathematical Models in Engineering, Vol. 1, Issue 1, 2015, p. 1‑11.
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Engineering. June 2015, Volume 1, Issue 1