A global-local damage localization and quantification approach in composite structures using ultrasonic guided waves and active infrared thermography

Abstract The paper emphasizes an effective quantification of hidden damage in composite structures using ultrasonic guided wave (GW) propagation-based structural health monitoring (SHM) and artificial neural network (ANN) based active infrared thermography (IRT) analysis. In recent years, there has been increased interest a global-local approach for localization purposes. global is mainly used identifying the damage, while local quantifying. This presents proof-of-study to use such quantification. main novelties this are implementation improved SHM GW algorithm localize damages, new pixel-based confusion matrix quantify size threshold, newly developed IRT-ANN validate From methodology, it realized that only three sensors sufficient ANN- IRT imaging with five neurons quantifying damage. robust methods effectively identified, localized, quantified different dimensions against non-destructive testing-IRT method structures.