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 …

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 …

Modeling Damage, Fatigue and Failure of Composite Materials, Second Edition provides the
latest research in the field of composite materials, an area that has attracted a wealth of …

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

This paper presents a condition based structural health monitoring (SHM) and prognosis
approach to estimate the residual useful life (RUL) of composite specimens in real time. On …

The computing power that is available for engineering calculation continues to grow at a
dramatic pace. Engineers in industry want to have seamless models that can be used to …

Matrix failure in composite structures has not been widely presented in literature. Their
failure has often been overlooked due to focus directed at fiber failure. With increasing …

This paper presents an approach to the formulation of models characterizing nonlinear
deformation and damage of composite materials and includes the consideration as the …

Composite materials owing to low density and beneficial properties such as high stiffness,
low coefficient of thermal expansion, high mechanical strength, high dimensional stability …

This paper proposes a particle filter-based Bayesian framework for damage prognosis of
composite laminates exhibiting concurrent matrix cracks and delamination. Literature shows …