Abstract
Frequency response function (FRF) data can provide considerably more information on damage in the desired frequency range as compared to modal data extracted from a very limited range around resonances. Among structural health monitoring techniques, FRF‐based methods have the potential to locate structural damage. Conventional structural damage detection technology collects structural response data using contact systems, such as displacement or acceleration transducers. However, installing these contact systems can be costly in terms of labor, cost, and time. Several noncontact measurement technologies, such as optical, laser, radar, and GPS, have been developed to overcome these obstacles. Given the rapid advances in optical imaging hardware technology, the use of digital photography in structural monitoring systems has attracted considerable attention. This study develops a displacement FRF‐based approach to locate damage to building structures. The proposed damage location index, CurveFRFDI, improves the sensitivity of SubFRFDI, which is a substructure FRF‐based damage location index proposed by Lin et al. (2012). Moreover, the feasibility of applying the proposed approach to locate damage to building structures using displacement measured by a digital camera combined with digital image correlation techniques is also investigated in this study. A numerical example and an experimental example are presented to demonstrate the feasibility of using the proposed approach to locate damage to building structures for single and multiple nonadjacent damage locations.
Highlights
Vibration-based damage identification of structures refers to the in situ nondestructive sensing and analysis of the characteristics of a structure, including the structural response to external excitations, to detect changes that may indicate damage or degradation. e feasibility of applying various vibration characteristics, such as natural frequencies, mode shapes, mode shape curvatures, modal flexibility, and frequency response functions, to damage identification of structures has received considerable attention in the past few decades [1, 2].Lee and Shin [3] identified two main advantages of using the frequency response function (FRF) data
Some studies have shown that FRF-based methods are highly promising tools to detect damage to building structures [4,5,6,7,8]
Ni et al [4] identified the seismic damage of a 38-story building using measured FRFs and neural networks. eir study used principal component analysis (PCA) to reduce dimension and eliminate the noise of measured FRFs. e PCA-compressed FRF data are used as input to neural networks for damage identification
Summary
Vibration-based damage identification of structures refers to the in situ nondestructive sensing and analysis of the characteristics of a structure, including the structural response to external excitations, to detect changes that may indicate damage or degradation. e feasibility of applying various vibration characteristics, such as natural frequencies, mode shapes, mode shape curvatures, modal flexibility, and frequency response functions, to damage identification of structures has received considerable attention in the past few decades [1, 2]. Conventional structural damage detection technology collects structural response data by using contact systems, such as displacement or acceleration transducers. Shih et al [11, 12] developed a low-cost digital image correlation method to measure the dynamic response of shear buildings. Detecting structural damage using displacement FRF should be more accurate than using acceleration FRF because the fundamental frequency of a structure becomes lower when a damage occurs Based on these reasons, the objective of this paper is to enhance the work of Lin et al [8]. E study aims at investigating the feasibility of applying the proposed approach to locate damage to building structures using displacement measured by digital camera combined with the DIC technique. A numerical example and an experimental example demonstrate the feasibility of applying the proposed approach for locating damage to building structures
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