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

Ahmadi, Hossein

  • Google
  • 8
  • 11
  • 84

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2024A numerical multi-scale method for analyzing the rate-dependent and inelastic response of short fiber reinforced polymers : modeling framework and experimental validation4citations
  • 2023Predicting the elasto-plastic response of short fiber reinforced composites using a computationally efficient multi-scale framework based on physical matrix properties14citations
  • 2023Closed-form analytical solutions for predicting stress transfers and thermo-elastic properties of short fiber composites7citations
  • 2022A variational approach for accurate prediction of stress and displacement fields and thermo-elastic constants in general symmetric laminates containing ply cracking and delamination under general triaxial loading11citations
  • 2022A computationally efficient multi-scale strategy for predicting the elasto-plastic behaviour of short fiber compositescitations
  • 2022A hierarchical multi-scale analytical approach for predicting the elastic behavior of short fiber reinforced polymers under triaxial and flexural loading conditions12citations
  • 2020Variational analysis of cracking in general composite laminates subject to triaxial and bending loads21citations
  • 2020Closed-form formulae for prediction of homogenized ply-properties and laminate thermo-elastic constants in symmetric laminates containing ply cracks in multiple orientations15citations

Places of action

Chart of shared publication
Sinchuk, Y.
1 / 10 shared
Hajikazemi, Mohammad
8 / 31 shared
Van Paepegem, Wim
8 / 489 shared
Ahmadi, H.
1 / 3 shared
Finazzi, Daniele
1 / 5 shared
Sinchuk, Yuriy
3 / 8 shared
Finazzi, D.
1 / 1 shared
Hajikazemi, M.
1 / 11 shared
Ahmadi, Hossein
2 / 3 shared
Rashidinejad, Ehsan
3 / 3 shared
Mccartney, L. N.
2 / 8 shared
Chart of publication period
2024
2023
2022
2020

Co-Authors (by relevance)

  • Sinchuk, Y.
  • Hajikazemi, Mohammad
  • Van Paepegem, Wim
  • Ahmadi, H.
  • Finazzi, Daniele
  • Sinchuk, Yuriy
  • Finazzi, D.
  • Hajikazemi, M.
  • Ahmadi, Hossein
  • Rashidinejad, Ehsan
  • Mccartney, L. N.
OrganizationsLocationPeople

conferencepaper

A computationally efficient multi-scale strategy for predicting the elasto-plastic behaviour of short fiber composites

  • Hajikazemi, Mohammad
  • Van Paepegem, Wim
  • Rashidinejad, Ehsan
  • Ahmadi, Hossein
  • Sinchuk, Yuriy
Abstract

Predicting the elasto-plastic response of short fiber reinforced polymers (SFRPs) is a challenging task due to the important effects of microstructural details (e.g. fiber interactions, orientations, volume fraction distribution, etc). The main goal of this study is to provide a straightforward framework for estimating the nonlinear response of SFRPs having complex microstructures using intrinsic physical properties of the matrix phase without using any reverse engineering. To do so, simplified 3D unit cells considering the effects of fiber interactions, are selected in order to predict the elasto-plastic response of SFRPs with aligned fibers (see Fig. 1). The effective mechanical responses of such 3D unit cells under different loading conditions are then used to calibrate the Hill plasticity model [1] to estimate anisotropic responses of SFRPs at microscopic levels. By coupling the obtained plasticity model with Pseudo-grain decomposition techniques [2, 3] as well as different orientation averaging approaches, the effects of fiber misalignments are taken into account. The numerical accuracy and computational efficiency of the employed unit cells are first studied by comparing the obtained results with those of multi-fiber RVEs with aligned fibers. Second, the validity and efficiency of the orientation averaging strategy are investigated using RVEs with randomly distributed fibers. The obtained results reveal that the proposed anisotropic Hill’s model calibrated with simple FEM unit cells largely reduces the number of required calibration tests and provides a computationally efficient framework to predict the nonlinear response of SFRPs while the effects of microstructural details are taken into account.

Topics
  • impedance spectroscopy
  • polymer
  • grain
  • phase
  • anisotropic
  • composite
  • plasticity
  • decomposition
  • aligned