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
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

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PeopleLocationsStatistics
Naji, M.
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2017Functionally graded shape memory alloys95citations
  • 2017Experiments on deformation behaviour of functionally graded NiTi structures18citations
  • 2011Modélisation numérique EF du comportement mécanique superélastique de plaques fines planes trouées en NiTicitations
  • 2011Etude expérimentale du comportement d'une tôle perforée aléatoirement en NiTi superélastiquecitations
  • 2009Roundrobin SMA modeling37citations
  • 2009Elastohysteresis : un modèle 3D phénoménologique précis pour le comportement superélastique d’Alliage à Mémoire de Forme sous chargements complexescitations

Places of action

Chart of shared publication
Motazedian, Fakhrodin
2 / 2 shared
Shariat, Bashir
4 / 9 shared
Zhang, Junsong
2 / 2 shared
Liu, Yinong
6 / 35 shared
Bakhtiari, Sam
2 / 4 shared
Nam, Tae Hyun
2 / 2 shared
Yang, Hong
2 / 4 shared
Mahmud, Abdus S.
2 / 2 shared
Wu, Zhigang
2 / 4 shared
Meng, Qinglin
2 / 2 shared
Favier, Denis
3 / 40 shared
Grolleau, Vincent
1 / 7 shared
Cellard, Christophe
1 / 3 shared
Collin, Antoine
1 / 1 shared
Lagoudas, D. C.
1 / 2 shared
Auricchio, F.
1 / 26 shared
Frost, M.
1 / 28 shared
Pilch, J.
1 / 18 shared
Chemisky, Y.
1 / 4 shared
Piotrowski, B.
1 / 2 shared
Humbeeck, Jan Van
1 / 2 shared
Boubakar, L.
1 / 4 shared
Reali, A.
1 / 8 shared
Zineb, T. Ben
1 / 1 shared
Morganti, S.
1 / 8 shared
Gibeau, E.
1 / 1 shared
Sedlak, P.
1 / 3 shared
Lexcellent, C.
1 / 7 shared
Duval, A.
1 / 6 shared
Oehler, S.
1 / 2 shared
Hartl, D.
1 / 2 shared
Heller, L.
1 / 25 shared
Sittner, P.
1 / 9 shared
Patoor, E.
1 / 14 shared
Chart of publication period
2017
2011
2009

Co-Authors (by relevance)

  • Motazedian, Fakhrodin
  • Shariat, Bashir
  • Zhang, Junsong
  • Liu, Yinong
  • Bakhtiari, Sam
  • Nam, Tae Hyun
  • Yang, Hong
  • Mahmud, Abdus S.
  • Wu, Zhigang
  • Meng, Qinglin
  • Favier, Denis
  • Grolleau, Vincent
  • Cellard, Christophe
  • Collin, Antoine
  • Lagoudas, D. C.
  • Auricchio, F.
  • Frost, M.
  • Pilch, J.
  • Chemisky, Y.
  • Piotrowski, B.
  • Humbeeck, Jan Van
  • Boubakar, L.
  • Reali, A.
  • Zineb, T. Ben
  • Morganti, S.
  • Gibeau, E.
  • Sedlak, P.
  • Lexcellent, C.
  • Duval, A.
  • Oehler, S.
  • Hartl, D.
  • Heller, L.
  • Sittner, P.
  • Patoor, E.
OrganizationsLocationPeople

article

Roundrobin SMA modeling

  • Lagoudas, D. C.
  • Auricchio, F.
  • Frost, M.
  • Pilch, J.
  • Chemisky, Y.
  • Piotrowski, B.
  • Rio, Gerard
  • Favier, Denis
  • Humbeeck, Jan Van
  • Boubakar, L.
  • Reali, A.
  • Zineb, T. Ben
  • Morganti, S.
  • Liu, Yinong
  • Gibeau, E.
  • Sedlak, P.
  • Lexcellent, C.
  • Duval, A.
  • Oehler, S.
  • Hartl, D.
  • Heller, L.
  • Sittner, P.
  • Patoor, E.
Abstract

This article reports on an ESF S3T EUROCORES sponsored networking activity called Roundrobin SMA modeling organized with the aim to compare capabilities of various thermomechanical models of shape memory alloys capable to simulate their functional responses for applications in smart engineering structures. Five sets of experimental data were measured in thermomechanical tests on thin NiTi filament in tension, torsion and combined tension/torsion. The data were provided to six teams developing advanced SMA models to perform appropriate simulations. Simulation results obtained by individual teams were compared with experimental results and presented on a dedicated Roundrobin SMA modeling website. The evaluation of the activity in terms of the assessment of the capability of individual models to deal with specific features of the experimentally measured SMA thermomechanical responses is provided in this article

Topics
  • impedance spectroscopy
  • simulation