Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
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Office National d'Études et de Recherches Aérospatiales

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2021A non-local damage approach compatible with dynamic explicit simulations and parallel computing9citations
  • 2020Dynamic VFM to Identify Viscoplastic Parameters. Analysis of Impact Tests on Titanium Alloycitations
  • 2020A non-local damage approach compatible with dynamic explicit simulations and parallel computingcitations
  • 2020Plastic and fracture behavior of a dual phase steel sheet under quasi-static and dynamic loadings15citations
  • 2019Dynamic VFM to Identify Viscoplastic Parameters. Analysis of Impact Tests on Titanium Alloycitations
  • 2019Image-Based Inertial Impact Test for Characterisation of Strain Rate Dependency of Ti6Al4V Titanium Alloy14citations
  • 2019A computational approach to design new tests for viscoplasticity characterization at high strain-rates23citations
  • 2018Image-based high strain-rate testing for the characterization of viscoplasticitycitations
  • 2017Conception d’un essai purement inertiel pour la caractérisation du comportement dynamique de matériaux métalliques par la Méthode des Champs Virtuelscitations
  • 2017Macro-modeling of spot weld strength and failure: Formulation and identification procedure based on pure and mixed modes of loading ; Modélisation à l'échelle macroscopique de la tenue et de la rupture des points soudés : formulation et procédure d'identification fondée sur des changements en mode purs et mixtes7citations
  • 2017Macro-modeling of spot weld strength and failure7citations
  • 2016A methodology for the viscoplastic behaviour characterisation of spot-weld heat affected materials12citations

Places of action

Chart of shared publication
Davaze, Valentin
3 / 4 shared
Besson, Jacques
3 / 104 shared
Vallino, Nicolas
3 / 3 shared
Feld-Payet, Sylvia
3 / 10 shared
Pierron, Fabrice
6 / 41 shared
Bouda, Pascal
6 / 8 shared
Fletcher, Lloyd C.
2 / 2 shared
Fourest, Thomas
3 / 7 shared
Notta-Cuvier, Delphine
6 / 19 shared
Markiewicz, Eric
8 / 25 shared
Fletcher, Lloyd
1 / 12 shared
Leconte, Nicolas
2 / 14 shared
Chaari, Fahmi
1 / 12 shared
Chtourou, Rim
1 / 4 shared
Zouari, Bassem
1 / 11 shared
Fabis, Jacky
1 / 2 shared
Dupuy, Thomas
1 / 3 shared
Chart of publication period
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Co-Authors (by relevance)

  • Davaze, Valentin
  • Besson, Jacques
  • Vallino, Nicolas
  • Feld-Payet, Sylvia
  • Pierron, Fabrice
  • Bouda, Pascal
  • Fletcher, Lloyd C.
  • Fourest, Thomas
  • Notta-Cuvier, Delphine
  • Markiewicz, Eric
  • Fletcher, Lloyd
  • Leconte, Nicolas
  • Chaari, Fahmi
  • Chtourou, Rim
  • Zouari, Bassem
  • Fabis, Jacky
  • Dupuy, Thomas
OrganizationsLocationPeople

conferencepaper

Image-based high strain-rate testing for the characterization of viscoplasticity

  • Pierron, Fabrice
  • Bouda, Pascal
  • Langrand, Bertrand
  • Notta-Cuvier, Delphine
  • Markiewicz, Eric
Abstract

The present work aims at identifying an elastic-viscoplastic material behaviour over a wide strain and strain-rate range (up to 0.1 and 1000 s-1 respectively), using the so-called Virtual Fields Method. To define the experimental campaign, a design process has been set. This relies on the numerical optimization of the setup-notably the specimen shape ? with respects to user-defined criteria. Finally, the selected configuration ensures an accurate and robust identification of material parameters.

Topics