With the booming prosperity of artificial intelligence (AI) technology, it triggers a paradigm
shift in engineering fields including material science. The integration of AI and machine …

In this study, we explored the detection of weak bonds (WBs) due to contamination and
faulty curing (FC) using linear ultrasound and machine learning. For this purpose, aluminium …

The aim of this work is to achieve reliable nondestructive evaluation (NDE) of adhesively
bonded aerospace components by developing novel multidimensional data fusion …

Nowadays, the reliability of data analysis and decision-making based on deep learning (DL)
remains a primary concern in promoting DL technology for industrial non-destructive testing …

Ultrasonic non-destructive evaluation in pulse-echo mode is used for the inspection of single-
lap aluminum adhesive joints, which contain interface defects in bonding area. The aim of …

Across nondestructive testing and structural health monitoring (SHM), accurate knowledge
of the systems' reliability for detecting defects, such as probability of detection (POD) …

In this article, the Kriging surrogate model is proposed to accelerate the model-assisted
probability of detection (MAPoD) analysis for eddy current nondestructive testing (NDT). The …

Multilayer adhesive bonded structures/materials (MABS) are widely used as structural
components, especially in the field of aerospace. However, for MABS workpieces, the facts …

The present paper proposes a non-contact ultrasonic testing method for the debonding
inspection of metal-based composite structures, utilizing an improved electromagnetic …

Guided elastic waves emitted and received by thin piezoelectric transducers are recognized
as a promising technology for several applications of Structural Health Monitoring …