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

Aghdam, M. M.

  • Google
  • 10
  • 3
  • 169

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2016Modeling and analysis of reversible shape memory adaptive panels3citations
  • 2015Micro-mechanics of composite with SMA fibers embedded in metallic/polymeric matrix under off-axial loadings20citations
  • 2015A simple and efficient 1-D macroscopic model for shape memory alloys considering ferro-elasticity effectcitations
  • 2015Micromechanics of shape memory alloy fiber-reinforced composites subjected to multi-axial non-proportional loadings6citations
  • 2015Micro-macro thermo-mechanical analysis of axisymmetric shape memory alloy composite cylinders1citations
  • 2014Shape control of shape memory alloy composite beams in the post-buckling regime10citations
  • 2014Active shape/stress control of shape memory alloy laminated beams31citations
  • 2014On the vibration control capability of shape memory alloy composite beams52citations
  • 2014A robust three-dimensional phenomenological model for polycrystalline SMAs16citations
  • 2013A phenomenological SMA model for combined axial-torsional proportional/non-proportional loading conditions30citations

Places of action

Chart of shared publication
Shakeri, M.
10 / 12 shared
Bodaghi, M.
8 / 73 shared
Liao, W. H.
3 / 9 shared
Chart of publication period
2016
2015
2014
2013

Co-Authors (by relevance)

  • Shakeri, M.
  • Bodaghi, M.
  • Liao, W. H.
OrganizationsLocationPeople

article

Micromechanics of shape memory alloy fiber-reinforced composites subjected to multi-axial non-proportional loadings

  • Aghdam, M. M.
  • Shakeri, M.
Abstract

<p>In this article, micromechanical behavior of metal matrix reinforced with shape memory alloy fibers under combined thermo-mechanical loadings is investigated. A representative volume element consisting of circular/rectangular cross-sectional shape memory alloy fibers surrounded with aluminum matrix is considered to model micromechanical behavior of shape memory alloy composites. In order to simulate main features of shape memory alloy fibers, especially under multi-axial non-proportional loadings, Panico-Brinson constitutive model is employed. This model is able to predict martensite transformation, shape memory effect, pseudo-elasticity, and in particular reorientation of martensite variants which is responsible for non-proportional loadings. Furthermore, the response of aluminum matrix is assumed as a thermo-elastic-plastic material with linear kinematic work hardening. A finite element formulation containing incremental and iterative processes is developed to analyze the representative volume element in the state of generalized plane strain. Convergence, cost, and comparative studies are conducted to examine efficiency and accuracy of the developed solution. Then, a set of parametric study is directed to provide an insight into the influence of fiber volume fraction, fiber cross-sectional shape, pre-strain, and temperature on the micromechanical behavior of shape memory alloy composites subjected to multi-axial loadings. A significant coupling is observed between normal-normal/normal-shear/shear-shear strains during non-proportional multi-axial loadings which confirms the importance of simulation of martensite reorientation.</p>

Topics
  • impedance spectroscopy
  • polymer
  • simulation
  • aluminium
  • elasticity
  • fiber-reinforced composite