Structural health monitoring and damage identification paper
Ravanfar, SA, Abdul Razak, H, Ismail, Z, Hakim, SJS 2014, 'Damage detection optimization using the wavelet entropy and genetic algorithm', in ST Smith (ed.), 23rd Australasian Conference on the Mechanics of Structures and Materials (ACMSM23), vol. II, Byron Bay, NSW, 9-12 December, Southern Cross University, Lismore, NSW, pp. 1191-1196. ISBN: 9780994152008.
This study presents an optimized damage identification algorithm using genetic algorithm (GA) to optimally determine the location and severity of damage in beam-like structures without baseline data. For this purpose, a vibration-based damage detection algorithm using a damage indicator called „Relative Wavelet Packet Entropy‟ (RWPE) was applied to determine the location and severity of damage. To improve the algorithm, GA was utilized to optimize the algorithm so as to identify the best choice of wavelet parameters. To examine the robustness and accuracy of the proposed method, numerical examples and experimental cases with different damage depths were considered and conducted.