A global-local damage localization and quantification approach in composite structures using ultrasonic guided waves and active infrared thermography. (1st March 2023)

• Record Type: Journal Article
• Authors: Balasubramaniam, Kaleeswaran; Sikdar, Shirsendu; Ziaja, Dominika; Jurek, Michał; Soman, Rohan; Malinowski, Paweł
• Is Part Of: Smart materials and structures. Volume 32:Number 3(2023)
• Publication Date: 2023-03-01
• Subjects: structural health monitoring (SHM) -- guided waves -- composite structure -- impact damage -- non-destructive testing (NDT); Smart materials -- Periodicals; Strucural design -- Periodicals; 620.11
• DOI: 10.1088/1361-665X/acb578
• Languages: English
• ISSNs: 0964-1726

Abstract

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