A differential artificial bee colony algorithm(D-ABC) is proposed for crack identification in beam structures. ABC is a heuristic algorithm and swarm technique with simple structure, which is easy to implement but it may trap in local minimum. In the D-ABC, the differential evolution(DE) mechanism is introduced to employed bee phase, and a new formula is used to simulate onlooker bee’s behavior to improve algorithm’s global search ability and convergence rate. A discrete open crack is used for vibration analysis of the cracked beam and only the changes in the first few natural frequencies are utilized to establish the objective function of the optimization problem for crack identification. A numerical simulations and an experimental work are studied to illustrate the efficiency of the proposed method. Studies show that the present techniques can produce more accurate damage identification results, comparing with original ABC, GA and PSO algorithm, even with a few noise contaminated measurements.
Key words
ABC algorithm /
DE mechanism /
cracks /
natural frequencies /
beam structures
{{custom_keyword}} /
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
[1] Kang Fei, Li Jun-jie, Xu Qing. Damage detection based on improved particle swarm optimization using vibration data [J]. Applied Soft Computing, 2012, 12: 2329-2335.
[2] Cheng SM, Swamidas ASJ, Wu XJ, Wallace W . Vibration response of a beam with a breathing crack[J]. Journal of Sound and Vibration 1999, 225: 201-208.
[3] Sinha JK, Friswell MI, Edwards S. Simplified models for the location of cracks in beam structures using measured vibration data [J]. Journal of Sound and Vibration,2002,251(1): 13-38.
[4] Shen MHH, Taylor JE, Identification problem for vibrating cracked beams [J]. Journal of Sound and Vibration, 1991,150(3): 457-484.
[5] Mustafa Sonmez. Artificial Bee Colony algorithm for optimization of truss structures[J]. Applied Soft
Computing, 2011, 234: 2406-2418.
[6] W. Gao, S. Liu, L. Huang, A global best artificial bee colony algorithm for global optimization [J]. Journal of Computational and Applied Mathematics,2012, 236: 2741-2753.
[7] Storn R, Price K. Differential Evolution---A simple and Efficient Heuristic for Global Optimization over Continuous Space. Journal of Global Optimization 1997, 11(4): 341-359.
[8] D.Karaboga, B.Korkemi, A quick artificial bee colony(qABC) algorithm and its performance on optimization problems [J]. Applied Soft Computing,2014, 23:227-238.
[9] Moha,SC, Yadav Amit and Maiti Dipak Kumar. A comparative study on crack identification of structures from the changes in natural frequencies using GA and PSO [J]. Engineering Computations 2014 31(7): 1514-1531.
[10] Khiem NT, Toan LK. A novel method for crack detection in beam-like structures by measurements of natural frequencies. Journal of Sound and Vibration 2014, 333:4084-4103.
{{custom_fnGroup.title_en}}
Footnotes
{{custom_fn.content}}
PDF(1955 KB)
