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

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PeopleLocationsStatistics
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2021Microstructure and physico-chemical transformation of some common woods from Cameroon during drying5citations
  • 2009Roundrobin SMA modeling37citations
  • 2006Multi layer tubular composite reinforced by a liner: behaviour under thermo mechanical loading simulationcitations
  • 2005Multilayer tubular composite reinforced by a liner: behaviour under pressure loading simulationcitations

Places of action

Chart of shared publication
Andreola, F.
1 / 20 shared
T., Tene Fongang R.
1 / 1 shared
Leonelli, C.
1 / 53 shared
Nouemsi Soubgui, E.
1 / 1 shared
Oum Lissouck, R.
1 / 1 shared
Rossignol, S.
1 / 11 shared
Kamseu, E.
1 / 25 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
Rio, Gerard
1 / 6 shared
Favier, Denis
1 / 40 shared
Humbeeck, Jan Van
1 / 2 shared
Reali, A.
1 / 8 shared
Zineb, T. Ben
1 / 1 shared
Morganti, S.
1 / 8 shared
Liu, Yinong
1 / 35 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
Hocine, A.
2 / 4 shared
Benamar, A.
2 / 5 shared
Kondratas, A.
2 / 3 shared
Bezazi, A.
2 / 16 shared
Chart of publication period
2021
2009
2006
2005

Co-Authors (by relevance)

  • Andreola, F.
  • T., Tene Fongang R.
  • Leonelli, C.
  • Nouemsi Soubgui, E.
  • Oum Lissouck, R.
  • Rossignol, S.
  • Kamseu, E.
  • Lagoudas, D. C.
  • Auricchio, F.
  • Frost, M.
  • Pilch, J.
  • Chemisky, Y.
  • Piotrowski, B.
  • Rio, Gerard
  • Favier, Denis
  • Humbeeck, Jan Van
  • 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.
  • Hocine, A.
  • Benamar, A.
  • Kondratas, A.
  • Bezazi, A.
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