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

St-Pierre, Luc

  • Google
  • 16
  • 33
  • 588

Aalto University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (16/16 displayed)

  • 2022An Abaqus plug-in to simulate fatigue crack growth11citations
  • 2022Fracture of Honeycombs Produced by Additive Manufacturing1citations
  • 2021Design, modeling, optimization, manufacturing and testing of variable-angle filament-wound cylinders76citations
  • 2021Design, modeling, optimization, manufacturing and testing of variable-angle filament-wound cylinders76citations
  • 2021Design, modeling, optimization, manufacturing and testing of variable-angle filament-wound cylinders76citations
  • 2021An Abaqus plug-in to simulate fatigue crack growth11citations
  • 2021Measuring geometric imperfections of variable–angle filament–wound cylinders with a simple digital image correlation setup24citations
  • 2021Measuring geometric imperfections of variable–angle filament–wound cylinders with a simple digital image correlation setup24citations
  • 2021Measuring geometric imperfections of variable–angle filament–wound cylinders with a simple digital image correlation setup24citations
  • 20203D printing of dense and porous TiO 2 structures29citations
  • 20203D printing of dense and porous TiO2 structures29citations
  • 2019Effect of weld modelling on crashworthiness optimization3citations
  • 2017The fracture toughness of octet-truss lattices147citations
  • 2015The dynamic indentation response of sandwich panels with a corrugated or Y-frame core28citations
  • 2014The predicted compressive strength of a pyramidal lattice made from case hardened steel tubes13citations
  • 2012Sandwich Beams with Corrugated and Y-frame cores16citations

Places of action

Chart of shared publication
Khosravi, Ali
2 / 3 shared
Malekan, Mohammad
2 / 14 shared
Barbe, Fabrice
1 / 15 shared
Manno, Riccardo
1 / 6 shared
Benedetti, Ivano
1 / 19 shared
Ling, Chen
1 / 2 shared
Nguejio, Josiane
1 / 6 shared
Castro, Saullo G. P.
5 / 27 shared
Amico, Sandro C.
2 / 32 shared
Almeida, José Humberto S.
1 / 6 shared
Tita, Volnei
3 / 15 shared
Wang, Zhihua
5 / 6 shared
Ribeiro, Marcelo L.
3 / 11 shared
Almeida, Humberto
2 / 9 shared
Amico, Sandro
1 / 4 shared
Almeida Jr, José Humberto S.
2 / 10 shared
Castro, Saullo
1 / 1 shared
Jr., J. H. S. Almeida
1 / 1 shared
Wang, Z.
1 / 99 shared
Kretzschmar, Niklas
2 / 11 shared
Ituarte, Iñigo Flores
2 / 13 shared
Jansson, Anton
2 / 8 shared
Aleni, Afshin Hasani
2 / 2 shared
Körgesaar, Mihkel
1 / 3 shared
Romanoff, Jani
1 / 16 shared
Varsta, Petri
1 / 2 shared
Omasta, M. R.
1 / 2 shared
Dong, Liang
1 / 1 shared
Wadley, H. N. G.
1 / 5 shared
Deshpande, V. S.
3 / 18 shared
Fleck, Na
1 / 20 shared
Deshpande, Vs
1 / 32 shared
Fleck, N. A.
2 / 9 shared
Chart of publication period
2022
2021
2020
2019
2017
2015
2014
2012

Co-Authors (by relevance)

  • Khosravi, Ali
  • Malekan, Mohammad
  • Barbe, Fabrice
  • Manno, Riccardo
  • Benedetti, Ivano
  • Ling, Chen
  • Nguejio, Josiane
  • Castro, Saullo G. P.
  • Amico, Sandro C.
  • Almeida, José Humberto S.
  • Tita, Volnei
  • Wang, Zhihua
  • Ribeiro, Marcelo L.
  • Almeida, Humberto
  • Amico, Sandro
  • Almeida Jr, José Humberto S.
  • Castro, Saullo
  • Jr., J. H. S. Almeida
  • Wang, Z.
  • Kretzschmar, Niklas
  • Ituarte, Iñigo Flores
  • Jansson, Anton
  • Aleni, Afshin Hasani
  • Körgesaar, Mihkel
  • Romanoff, Jani
  • Varsta, Petri
  • Omasta, M. R.
  • Dong, Liang
  • Wadley, H. N. G.
  • Deshpande, V. S.
  • Fleck, Na
  • Deshpande, Vs
  • Fleck, N. A.
OrganizationsLocationPeople

article

Measuring geometric imperfections of variable–angle filament–wound cylinders with a simple digital image correlation setup

  • Castro, Saullo G. P.
  • Jr., J. H. S. Almeida
  • St-Pierre, Luc
  • Wang, Z.
Abstract

Measuring the geometric imperfections in cylindrical shells is a critical step necessary to create accurate numerical models that can capture the imperfection-sensitive behavior of these structures. Modern composite structures, such as variable–angle filament–wound (VAFW) cylinders, have a unique imperfection signature that is still unknown to the scientific community. This new class of variable–stiffness structures developed by our research group combines wide tailoring capabilities with the efficient manufacturability enabled by filament winding process. The present study proposes a novel imperfection measurement method that is simple and applicable to both small and large structures. The topographic data is measured with only a pair of cameras. Practical aspects of using digital image correlation (DIC) are described and discussed in detail, such as lighting, focus adjustment, and calibration. State–of–the–art best–fit routines, based on least–squares optimization, are used to transform raw data into a common coordinate system. Finally, the transformed data is stitched to build a full 3D imperfection pattern that can be readily used in a nonlinear finite element analysis. The developed method is used to measure the imperfections of 12 VAFW cylinders. The mass of the cylinders is used to validate the geometric imperfections and evaluate the variability of the proposed methodology.

Topics
  • impedance spectroscopy
  • composite
  • finite element analysis