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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University of Burgundy

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2018From experimental data to a numerical model of Keloid-Skin Composite structurecitations
  • 2018Model parameter Identification of keloid-skin composite undergoing large deformationscitations

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Jacquet, Emmanuelle
2 / 7 shared
Chambert, Jérôme
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Sensale, Marco
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Lejeune, Arnaud
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Rolin, Gwenaël
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Bordas, Stéphane
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Sutula, Danas
2 / 3 shared
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2018

Co-Authors (by relevance)

  • Jacquet, Emmanuelle
  • Chambert, Jérôme
  • Sensale, Marco
  • Lejeune, Arnaud
  • Rolin, Gwenaël
  • Bordas, Stéphane
  • Sutula, Danas
OrganizationsLocationPeople

conferencepaper

Model parameter Identification of keloid-skin composite undergoing large deformations

  • Jacquet, Emmanuelle
  • Chouly, Franz
  • Chambert, Jérôme
  • Bordas, Stéphane
  • Sutula, Danas
Abstract

The aim of this paper is to characterize the mechanical behavior of cutaneous tissues with the long-term goal to prevent keloid development in patients. Keloids are non cancerous tumors [1] that grow continuously on the skin for several reasons. These specific tumors affect 11 million patients of all ages and are particularly frequent in the Asian and African populations. The evolution of keloids is related to genetic, biological, biophysical and biomechanical factors. Here we focus on the biomechanical aspects, such as the state of stress inside and surrounding the keloid, which is believed to significantly affect the keloid's growth [2]. We present a patient-specific methodology for the identification of hyper-elastic model parameters of a keloid-skin composite model of a patient. A keloid is observed on a patient using an ultrasound and optical microscopy. The 3D image of the surface is use to develop the geometrical model of the keloid. To effectively characterize the mechanical behavior of the skin-keloid composite we investigate several hyper-elastic material models. The model parameters for the healthy skin and the keloid are determined using an inverse analysis approach; specifically, the model parameters are determined by minimizing the mismatch between the numerical and the experimentally obtained displacement fields. The experimental results are obtained in-vivo using a custom-made extensometer [3] and a digital image correlation (DIC) technique.

Topics
  • impedance spectroscopy
  • surface
  • composite
  • optical microscopy