Full‐field optical measurements like digital image correlation or the grid method have
brought a paradigm shift in the experimental mechanics community. While inverse …

With the advent of camera‐based full‐field measurement techniques such as digital image
correlation (DIC), researchers have been trying to exploit such rich data sets through the use …

We formulate extensions to data‐riven computing for both distance‐minimizing and entropy‐
maximizing schemes to incorporate time integration. Previous works focused on formulating …

Abstract We formulate a Data Driven Computing paradigm, termed max-ent Data Driven
Computing, that generalizes distance-minimizing Data Driven Computing and is robust with …

In this paper, we present a new approach for the bi-axial characterization of in vitro human
arteries and we prove its feasibility on an example. The specificity of the approach is that it …

The virtual fields method is an approach to inversely identify material parameters using full-
field deformation data. In this manuscript, a new set of automatically-defined virtual fields for …

The experimental stress-strain curves from the standardized tests of Tensile, Plane Stress,
Compression, Volumetric Compression, and Shear, are normally used to obtain the invariant …

The aim of the present study is to explore the combination of a biaxial test with a cruciform
specimen and the virtual fields method to develop an efficient strategy for simultaneous …

In this study, a novel virtual fields method (VFM) based on the finite element (FE) scheme,
namely FE-VFM, is proposed as an inverse method for identifying the parameters of …

The virtual fields method is an approach to inversely identify material parameters using full-
field deformation data. In this work, we extend the sensitivity-based virtual fields to large …