Abstract
Unified particle swarm optimization (UPSO) and artificial bee colony (ABC) are two effective swarm based techniques to solve inverse damage detection problems. A hybrid algorithm of ABC and UPSO named UPSO_Scout has been proposed in the present paper. Comparisons among these three algorithms are demonstrated using three structural problems (beam, plane truss and space truss) considering natural frequencies and mode shapes as damage indicators. Proposed algorithm shows improved performance than UPSO and ABC for damage detection. Slow convergence speed of ABC reduces its effectiveness for larger problem. UPSO is sometimes prone to fall in local minima despite of its faster convergence speed. Efficacy of the proposed algorithm has also been examined in noisy environment.
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Acknowledgements
This research work is financially supported by ISRO (Indian Space Research Organisation) IIT Kharagpur cell. The authors are grateful to ISRO cell for their financial support to carry out the research work at Department of Aerospace Engineering, IIT, Kharagpur.
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Barman, S.K., Maiti, D.K., Maity, D. (2020). A New Hybrid Unified Particle Swarm Optimization Technique for Damage Assessment from Changes of Vibration Responses. In: Singh, B., Roy, A., Maiti, D. (eds) Recent Advances in Theoretical, Applied, Computational and Experimental Mechanics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-1189-9_23
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