The benefits of tracking, identifying, measuring features of interest from structure responses
have endless applications for saving cost, time and improving safety. To date, structural …

Structural health monitoring (SHM) techniques have been studied for several years. An
effective approach for SHM is to choose the parameters that are sensitive to the damage …

This work proposes a supervised Deep Learning approach for damage identification in
bridge structures. We employ a hybrid methodology that incorporates Finite Element …

Abstract The Extreme Function Theory (EFT) offers a convenient tool for mode shape-based
damage detection. When coupled with Gaussian Process Regression (GPR), this statistical …

This paper presented the process of implementing and developing a novel damage
detection approach on beam like-structure using modal parameters. In Theoretical Modal …

Modal curvatures have been widely used in the detection of structural damage. Attractive
features of modal curvature include great sensitivity to damage and instant determination of …

A novel damage localization method is introduced in this study, which exploits mode shape
curvatures as damage features, while accounting for operational variability. The developed …

This paper develops and presents a technique on the identification of the damage location
and depth in a beam using a frequency contour method. Unlike the frequency contour …

Mode shapes have been widely used for structural damage detection. The basic premise of
this method is that damage occurring in a structure causes singularities in mode shapes …

Full-field online sensing provides dense spatial information of vibrating structures in real-
time. Such compact sensing is essential to pinpoint the location of possible damage and for …