In the era of the 4th industrial revolution of big data, artificial intelligence (AI) is widely used
in each and every field of composite materials which includes design and analysis, material …

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 …

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

Delamination in laminated structures is a concern in high-performance structural
applications, which challenges the latest non-destructive testing techniques. This study …

The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …

Machine learning (ML) has emerged as a useful predictive tool based on mathematical and
statistical relationships for various engineering problems. The pairing of structural health …

The mobility applications of laminated composites are constantly expanding due to their
improved mechanical properties and superior strength-to-weight ratio. Such advancements …

Composite materials have become the major materials of light-weight structure due to their
light weight, high strength, high modulus, and strong designability. However, as the …

Composite materials have been widely used in many industries due to their excellent
mechanical properties. It is difficult to analyze the integrity and durability of composite …

This study presents a comprehensive review of the history of research and development of
different damage-detection methods in the realm of composite structures. Different fields of …