Damage Detection and Localization in Beam Structures Based on Vibration Analysis and Cuckoo Search Algorithm

This paper presents a damage detection and localization based on vibration analysis in beam using Cuckoo search Algorithm. The damage is represented by a reduction in Young’s modulus. The finite element method is used to apply damage at specific element(s) of the considered beams. The identification of damage is formulated as an optimization problem using objective function based on changes in natural frequencies. A procedure for detecting and locating damage of H-beam with thin plates structures based on Cuckoo search Algorithm is used. This approach presents a method that can be used to detect the single and multiple-damage positions and the rate of damage in structural elements with high accuracy after the first iteration. The noise introduced in the damage problem, it is shown that our approach based on Cuckoo search Algorithm can detect the damage with high accuracy. Making a comparative study of the obtained results with three well-known optimization algorithms confirms that the proposed Cuckoo search Algorithm produces better performance in damage detection and localization based on vibration analysis and optimization in beam.

Keywords:

Damage detection and localization , vibration analysis , optimization , Cuckoo Search Algorithm.