Laminated composites received great attention in the structural applications due to
innumerable advantages over conventional materials. These structures are subjected to …

This article reports on the physics-based models for the diagnosis (detection, isolation,
localization, and quantification of damages) and prognosis (prediction of the future evolution …

Accurate detection of damage in composite structures is of great significance to ensure safe
service and avoid catastrophic accidents. In this paper, a novel damage diagnosis method …

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 …

Deep learning models can autonomously learn discriminative features from the data;
however, insufficient training data often limit their use. This paper proposes a synthetic data …

Recently, the advanced driver assistance system (ADAS) of autonomous vehicles (AVs) has
offered substantial benefits to drivers. Improvement of passenger safety is one of the key …

Structural health monitoring (SHM) methods are essential to guarantee the safety and
integrity of composite structures, which are extensively utilized in aerospace, automobile …

The wrinkles in composite structures degrade the mechanical properties and shorten the
service life. They are difficult to be identified with no interlayer separation inside. This paper …

This study presents a non-destructive evaluation (NDE) method that utilizes a convolutional
neural network (CNN) based terahertz (THz) signal processing to quantitively distinguish …

Damage detection of composite materials is crucial to monitor the component condition over
the life cycle for the maintenance management and possible replacement. Delamination …