Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

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.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Goda, Ibrahim

  • Google
  • 9
  • 14
  • 243

Institut de Mathématiques de Marseille

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2022Size-independent strain gradient effective models based on homogenization methods: Applications to 3D composite materials, pantograph and thin walled lattices21citations
  • 2021Numerical modeling and analysis of the ballistic impact response of ceramic/composite targets and the influence of cohesive material parameters32citations
  • 2021A computational framework for energy absorption and damage assessment of laminated composites under ballistic impact and new insights into target parameters37citations
  • 2021Design and characterization of 3D multilayer woven reinforcements shape memory polymer composites16citations
  • 2020Design and characterization of 3D multilayer woven reinforcements shape memory polymer composites16citations
  • 2019In-situ non-contact 3D optical deformation measurement of large capacity composite tank based on close-range photogrammetry23citations
  • 2019Homogenized elastic response of random fiber networks based on strain gradient continuum models18citations
  • 20163D couple-stress moduli of porous polymeric biomaterials using µCT image stack and FE characterization24citations
  • 2016Construction of first and second order grade anisotropic continuum media for 3D porous and textile composite structures56citations

Places of action

Chart of shared publication
Lahbazi, Ahmed
1 / 1 shared
Ganghoffer, Jean-François
4 / 9 shared
Girardot, Jérémie
1 / 10 shared
Girardot, Jeremie
1 / 9 shared
Zubair, Zakariya
1 / 2 shared
Drean, Jean-Yves
1 / 5 shared
Lhostis, Gildas
2 / 12 shared
Guerlain, Philippe
1 / 1 shared
Deogekar, Sai
1 / 1 shared
Picu, R. Catalin
1 / 1 shared
Berkache, Kamel
1 / 1 shared
Rahouadj, Rachid
1 / 6 shared
Siad, Larbi
1 / 5 shared
Kerdjoudj, Halima
1 / 11 shared
Chart of publication period
2022
2021
2020
2019
2016

Co-Authors (by relevance)

  • Lahbazi, Ahmed
  • Ganghoffer, Jean-François
  • Girardot, Jérémie
  • Girardot, Jeremie
  • Zubair, Zakariya
  • Drean, Jean-Yves
  • Lhostis, Gildas
  • Guerlain, Philippe
  • Deogekar, Sai
  • Picu, R. Catalin
  • Berkache, Kamel
  • Rahouadj, Rachid
  • Siad, Larbi
  • Kerdjoudj, Halima
OrganizationsLocationPeople

article

Design and characterization of 3D multilayer woven reinforcements shape memory polymer composites

  • Goda, Ibrahim
Abstract

<jats:p> Shape memory polymer (SMP) composites are attractive and excellent smart materials due to their outstanding properties and rich functionality as they combine typical mechanical and functional properties of composites with shape memory properties. In particular, 3D reinforced preforms have tremendous potential for the development of functional composites by using the capabilities of 3D woven fabric preform design, and polymer shape memory behavior. Within that scope, this work aims to investigate the shape memory behavior and shape recovery properties of a specific type of 3D multilayer woven SMP composite in response to external stimuli. For this purpose, nine different multilayer stitched fabrics are produced with different weave structures, and different fabric thread densities using polyimide filaments. Then, a series of tests is carried out on these fabrics to evaluate their mechanical and physical properties. The layered fabric design that delivers high mechanical performance is next involved to manufacture the SMP composite samples, for which shape recovery capability is investigated. Fold-deploy and other shape memory cycle tests are performed to evaluate the shape memory characteristics. An optical 3D scanner based on fringe projection is further proposed to precisely acquire the geometry data and perform deformation analysis to quantitatively evaluate the shape fixity and shape recovery behaviors. The results from this study are very promising, demonstrating that these multilayer SMP structures can successfully be recovered following the desired design constraints without noticeable damage. </jats:p>

Topics
  • impedance spectroscopy
  • polymer
  • layered
  • composite
  • woven