The present review provides an overview of work published in recent years dealing with the
mechanical characterization of composite materials performed by optical techniques. The …

Carbon fiber reinforced polymers (CFRPs) with large thickness (≥ 20 mm) are being
extensively used for aerospace structures, and are prone to the manufacturing and in …

In this article, we propose a data-driven multi-flaw detection strategy based on deep learning
and the boundary element method (BEM). In the training phase, BEM is implemented to …

Identifying unknown Young's moduli and boundary conditions of the heterogeneous material
using locally observed boundary data is the inverse problem which is generally solved by …

Although there have been many studies on the identification of elastic constants and
boundary conditions, it is still challenging to simultaneously estimate the unknown elastic …

In this study, modelling and identification of prestress state in functionally graded plate within
the framework of the Timoshenko theory are discussed. With the help of variational …

Simultaneously identifying unknown Young's modulus and boundary conditions of a linear
elastic material with the measurements only on a part of its boundary is an inverse problem …

The efficiency of classical truly meshless local Petrov–Galerkin method with linear test
function approximation in the crack growth problems of complex configurations is …

As a key material in high-temperature gas-cooled reactors (HTGR), nuclear graphite is a
type of quasi-brittle material with complex damage mechanisms. However, it is difficult to …

Estimating the unknown Young's modulus and boundary conditions of an elastic object from
locally observed boundary data is an inverse problem which is usually solved by iterative …