Data assimilation is the process by which experimental measurements are incorporated into
the modeling process of a given system. We focus here on the framework of non-linear solid …

In this work, we propose Bayesian parameter estimation of a nonlinear mechanics based
model describing the behaviour of mortar subjected to double shear test with externally …

This work tackles the issue of identifiability of fracture and bond properties in reinforced
concrete. The basis for modeling of fracture is a computational model capable of describing …

The state of materials and accordingly the properties of structures are changing over the
period of use, which may influence the reliability and quality of the structure during its life …

This article presents a new approach for inverse identification of all elastic constants of a 3D
generally anisotropic solid with arbitrary geometry via measured strain data. To eradicate …

Methods for the inverse characterization of mechanical properties of materials have recently
seen significant growth, largely because of the availability of enabling technologies such as …

This paper presents a new technique of neural network constitutive modelling for non‐linear
characterization of anisotropic materials. The proposed technique, based on a recently …

In this study the common least-squares minimization approach is compared to the Bayesian
updating procedure. In the content of material parameter identification the posterior …

The state of materials and accordingly the properties of structures are changing over the
period of use, which may influence the reliability and quality of the structure during its life …

The main goal of the present paper is to demonstrate the value of design optimization
beyond its use for structural shape determination in the realm of the constitutive …