A Step-by-Step Damage Identification Method Based on Frequency Response Function and Cross Signature Assurance Criterion

Abstract

This paper aims to present a method for quantitative damage identification of a simply supported beam, which integrates the frequency response function (FRF) and model updating. The objective function is established using the cross-signature assurance criterion (CSAC) indices of the FRFs between the measurement points and the natural frequency. The CSAC index in the frequency range between the first two frequencies is found to be sensitive to damage. The proposed identification procedure is tried to identify the single and multiple damages. To verify the effectiveness of the method, numerical simulation and laboratory testing were conducted on some model steel beams with simulated damage by cross-cut sections, and the identification results were compared with the real ones. The analysis results show that the proposed damage evaluation method is insensitive to the systematic test errors and is able to locate and quantify the damage within the beam structures step by step.

Novelty detection on a laboratory benchmark slender structure using an unsupervised deep learning algorithm

“…Over the past few years, the investigation of structural integrity has been performed by employing modal analysis/tracking-based methods, which consist in the evaluation of changes in the modal parameters over time (Doebling et al 1998, Huang et al 2020, Zhan et al 2021. The basic assumption is that the degrading process alters the physical properties of the structure, such as mass and stiffness, which influence its natural frequencies, mode shapes, and damping ratios.…”