Numerical Voids Detection in Bonded Metal/Composite Assemblies Using Acousto-Ultrasonic Method

Abstract

This research focuses on the application of an acousto-ultrasonics (AU) technique, a combination of ultrasonic characterization and acoustic emission, to nondestructively detect defects such as voids in bonded metal/composite assemblies. Computational methods are established to examine the effects of voids on the collected signal. The position of the receiver sensor with respect to the defect is also investigated. Given a specific structure and type of actuation signal, the sensor location and probability of detection can be enhanced by the model developed in this work. The defect detection is optimal provided the receiver sensor is located around the epicenter of the defect. Moreover, this work highlights the importance of the choice of reception sensor.

Defects Detection and Identification in Adhesively Bonded Joints between CFRP Laminate and Reinforced Concrete Beam Using Acousto-Ultrasonic Technique

“…The acousto-ultrasonic (AU) method was used by several authors [27][28][29][30][31][32][33][34][35][36][37][38] to detect and assess defects in assemblies. Wang et al [30] evaluated matrix cracks in cross-ply Carbon Fiber Reinforced Polymer (CFRP) laminates using linear and nonlinear acoustoultrasonic methods.…”

“…The approach should maintain or increase reliability and robustness in the treatment of data for analyzing the state of the bonded joint. In previous works [27][28][29], the authors used a methodology for defect classification on model specimens using mono-parametric analysis, PCA, and classification with a random forest approach. Their results showed a critical comparison between these methods for the defect detection and its identification.…”