Abstract
This paper presents a new damage detection and localization technique based on the changes in vibration parameters using BAT and Particle Swarm Optimization algorithm. The finite element method is used to apply damage at specific element(s) of the considered beams. The damage is represented by a reduction in Young’s modulus and the identification of damage is formulated as an optimization problem using objective function based on Modal Scale Factor and changes in natural frequencies. A procedure for detecting and locating damage of beam-like structures based on BAT 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 results obtained using BAT algorithm are compared to those obtained using Particle Swarm Optimization Algorithm. By taking noise into account in the damage detection and localization problem, it is shown that our approach based on BAT algorithm can detect the damage locations with high accuracy.
Highlights
In the recent years, a structural damage detection became a field that has attracted a lot of interest in the scientific community
Where – calculated mode shape and – test mode shape The objective function based on Modal Scale Factor and Changes in Natural Frequencies to be minimized in this algorithm is given by:
The objective function based on Modal Scale Factor and Changes in Natural Frequencies is minimized in this unconstrained optimization problem using BAT and Particle swarm optimization (PSO) algorithms
Summary
A structural damage detection became a field that has attracted a lot of interest in the scientific community. The normal damage detection methods produce an objective function, which is defined in terms of the differences between the data identified by modal vibration tests and those calculated from analytical or finite element model [7, 8]. NUMERICAL STUDY FOR SINGLE AND MULTIPLE DAMAGE DETECTION AND LOCALIZATION IN BEAM-LIKE STRUCTURES USING BAT ALGORITHM. A genetic algorithm (GA) was used to detect damage in beam structure using three objective functions based on frequencies and eigenvectors [21]. A new damage identification method is used by applying BAT algorithm to detect and locate single- and multiple-damage in beam-like structures. 3) Solving the inverse problem after providing frequencies and mode shapes (real damage) to the objective function in order to calculate damage locations and severity using BAT algorithm and FEM (estimated damage).
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