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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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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Brassart, Laurence

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University of Oxford

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2021Visco-Plastic Behaviour of a Polymer Matrix at the Fibre Diameter Length Scale: a Finite Element Mesoscale Model Relying on Shear Transformation Zone (STZ) Dynamicscitations
  • 2021Implementation and calibration of a mesoscale model for amorphous plasticity based on shear transformation dynamics29citations
  • 2019Strain rate dependence of the contribution of surface diffusion to bulk sintering viscosity1citations
  • 2019Impact of second phase morphology and orientation on the plastic behavior of dual-phase steels49citations
  • 2018Interfacial fibre decohesion in Friction Stir Processed Mg-C composites under tensile and compression loadingcitations
  • 2017Micro-mechanical testing of magnesium based composites reinforced by carbon fibers manufactured by friction stir processingcitations
  • 2017Micro-mechanical testing of magnesium based composites reinforced by carbon fibers manufactured by friction stir processingcitations
  • 2016Influence of martensite volume fraction and hardness on the plastic behavior of dual-phase steels: Experiments and micromechanical modeling102citations
  • 2016Influence of martensite volume fraction and hardness on the plastic behavior of dual-phase steels: Experiments and micromechanical modeling102citations
  • 2014The influence of microstructure and composition on the plastic behaviour of dual-phase steels193citations
  • 2011Homogenization of elasto-(visco)plastic composites : history-dependent incremental and variational approachescitations
  • 2011A variational formulation for the incremental homogenization of elasto-plastic composites58citations

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Chevalier, Jãrãmy
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Klavzer, Nathan
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Van Loock, Frederik
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Pardoen, Thomas
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Delannay, Francis
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Ismail, Karim
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Perlade, Astrid
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Jacques, Pascal
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Ryelandt, Sophie
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Gounã, Mohamed
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Doghri, Issam
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Stainier, Laurent
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Co-Authors (by relevance)

  • Chevalier, Jãrãmy
  • Klavzer, Nathan
  • Van Loock, Frederik
  • Pardoen, Thomas
  • Delannay, Francis
  • Ismail, Karim
  • Perlade, Astrid
  • Jacques, Pascal
  • Ryelandt, Sophie
  • Mertens, Anne
  • Simar, Aude
  • Lecomte-Beckers, Jacqueline
  • Verdier, Marc
  • Bouaziz, Olivier
  • Gouné, Mohamed
  • Parry, Guillaume
  • Bréchet, Yves
  • Lai, Qingquan
  • Gounã, Mohamed
  • Brãchet, Yves
  • Pierman, Anne-Pascale
  • Delannay, Laurent
  • Doghri, Issam
  • Stainier, Laurent
OrganizationsLocationPeople

article

Implementation and calibration of a mesoscale model for amorphous plasticity based on shear transformation dynamics

  • Brassart, Laurence
  • Van Loock, Frederik
  • Pardoen, Thomas
Abstract

A mesoscale numerical model based on shear transformation zone (STZ) theory is implemented in a commercial finite element software. The model is designed to predict the (visco)plastic deformation response of amorphous solids at the nano- and micro-scale. The theoretical framework relies on earlier models developed by Bulatov and Argon (1994a) and of Homer and Schuh (2009). We justify the potential of the computational model by conducting reference calculations for model metallic and polymeric glasses in plane strain compression. Emphasis is placed on the effect of time and space discretisation on the predicted macroscopic response. The dependence of the predicted yield strength upon the values of the fundamental model parameters is analysed via a mean-field approximation. The mean-field approximation is validated based on a series of simulations in model parameter space. We provide guidelines for a straightforward but consistent parameter identification method via the mean-field approximation while starting from experimental data.

Topics
  • impedance spectroscopy
  • polymer
  • amorphous
  • theory
  • simulation
  • glass
  • glass
  • strength
  • plasticity
  • yield strength