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

Antunes, Jose

  • Google
  • 1
  • 5
  • 1

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022Experimental vibratory analysis of a rotating segmented wind turbine blade using common test equipment1citations

Places of action

Chart of shared publication
Yangui, Majdi
1 / 1 shared
Bouaziz, Slim
1 / 1 shared
Taktak, Mohamed
1 / 7 shared
Haddar, Mohamed
1 / 73 shared
Debut, Vincent
1 / 1 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Yangui, Majdi
  • Bouaziz, Slim
  • Taktak, Mohamed
  • Haddar, Mohamed
  • Debut, Vincent
OrganizationsLocationPeople

article

Experimental vibratory analysis of a rotating segmented wind turbine blade using common test equipment

  • Yangui, Majdi
  • Bouaziz, Slim
  • Taktak, Mohamed
  • Haddar, Mohamed
  • Debut, Vincent
  • Antunes, Jose
Abstract

<p>The vibration behavior of wind turbine blades (WTB) must be thoroughly investigated to avert undesirable dynamical phenomena under working conditions. This paper sets out an experimental frequency analysis of a rotating, scaled-down, segmented WTB. The purpose of the present work is twofold: (1) to devise a suitable experiment for the modal identification of a rotating component, when no rotor-specific test equipment is available, and (2) to validate a recently developed theoretical model for the dynamics of segmented wind turbine blades, through the modal parameters of the test blade identified for a given range of spinning velocity. The 3D fused deposition modeling technology was used to manufacture the blades segments, assembled with a steel threaded shaft and nut. A speed-controlled motor is used to scrutinize the influence of the rotation velocity on the blades modal parameters. To identify the blades modal frequencies and damping ratios, the eigensystem realization algorithm method was implemented. At rest, the blades natural frequencies were adjusted based on the additional assembly stiffness generated by the nut tightening torque. Because the modal identification of rotating components using conventional test equipment is a difficult task, a significant feature in this paper, beyond the obtained results, is the proposed original experimental technique to investigate the flapwise (out-of-plane) dynamical behavior of the rotating blades. The experimental results are compared with previous theoretical results, as a function of the blades spinning velocity, showing the significant influence of the rotation speed on the segmented WTB dynamical behavior, in agreement with the theoretical predictions.</p>

Topics
  • Deposition
  • impedance spectroscopy
  • experiment
  • steel
  • spinning