Abstract
A methodology named Frequency Comparison Function (FCF) is developed and studied to realize the crack identification with high sensitivity in the welding joint area for a beam-type structure. This method is derived from Frequency Response Function (FRF) by replacing the excitation data with the response signal recorded from a designated point of the test structure, then the standard deviation value of the FCF is calculated to detect and evaluate the possible crack or local damage-induced vibration signal perturbations. Finite element analysis of a welded beam structure is first conducted in ANSYS to obtain the vibration responses on two sides of the weld joint, which are then analyzed with FCF algorithm. It is concluded that FCF is applicable with breathing crack identification and it is fast and efficient with no required data pre-progressing, like the filtering and smoothing functions, and hence can be used for real-time crack detection. By employing the smart coating sensor composed of piezoelectric patches, a high sensitivity crack identification is realized, and the crack is detectable at its very early stage (3% of the beam thickness).
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