Material Testing 2.0: A brief review
F Pierron - Strain, 2023 - Wiley Online Library
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 …
correlation (DIC), researchers have been trying to exploit such rich data sets through the use …
Graph-based representation of history-dependent material response in the Data-Driven Computational Mechanics framework
H Dandin, A Leygue, L Stainier - Computer Methods in Applied Mechanics …, 2024 - Elsevier
This work develops an extension of the Data-Driven Computational Mechanics approach
introduced by Kirchdoerfer and Ortiz (2016) to history-dependent behaviour. The material …
introduced by Kirchdoerfer and Ortiz (2016) to history-dependent behaviour. The material …
Aquatic Ecosystems Monitoring with Remote Sensing Perspective
Aquatic ecosystems are essential sources of ecological productivity and biodiversity, and
they offer a wide range of services to human populations. Furthermore, the Earth's aquatic …
they offer a wide range of services to human populations. Furthermore, the Earth's aquatic …
A graph-based model-free data-driven computing approach for inelasticity: Application to elastoplasticity
H Dandin - 2024 - theses.hal.science
In structural analysis, the mechanical response of a material is usually approximated with a
constitutive model, ie a mathematical relation between strains and stresses. This …
constitutive model, ie a mathematical relation between strains and stresses. This …
Data-Driven Model Identification for hyperelasticity: mapping the strain energy throughout multiaxial experiments
L Costecalde - 2023 - theses.hal.science
Modeling the mechanical response of materials involves the derivation of a relationship (a
model) between stresses andstrains, depending on parameters. These parameters are …
model) between stresses andstrains, depending on parameters. These parameters are …