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

Belloni, Federico

  • Google
  • 6
  • 16
  • 20

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2021Optimized method for multi-axial fatigue testing of wind turbine blades16citations
  • 2018An Improved Sub-component Fatigue Testing Method for Material Characterization4citations
  • 2018Buckling and progressive failure of trailing edge subcomponent of wind turbine bladecitations
  • 2014Structural analysis of a 1kW Darrieus turbine spokecitations
  • 2014Structural analysis of a 1kW Darrieus turbine spokecitations
  • 2014Advanced topics on rotor blade full-scale structural fatigue testing and requirementscitations

Places of action

Chart of shared publication
Berring, Peter
3 / 14 shared
Branner, Kim
3 / 26 shared
Yeniceli, Süleyman Cem
1 / 2 shared
Castro, Oscar
1 / 9 shared
Stolpe, Mathias
1 / 5 shared
Eder, Martin Alexander
1 / 13 shared
Cherrier, B.
1 / 1 shared
Chen, Xiao
1 / 13 shared
Madsen, Steen Hjelm
1 / 3 shared
Semenov, Sergei
1 / 4 shared
Castelli, Marco Raciti
2 / 2 shared
Bedon, Gabriele
2 / 2 shared
Benini, Ernesto
2 / 2 shared
Paulsen, Uwe Schmidt
1 / 3 shared
Schmidt Paulsen, Uwe
1 / 1 shared
Fedorov, Vladimir
1 / 6 shared
Chart of publication period
2021
2018
2014

Co-Authors (by relevance)

  • Berring, Peter
  • Branner, Kim
  • Yeniceli, Süleyman Cem
  • Castro, Oscar
  • Stolpe, Mathias
  • Eder, Martin Alexander
  • Cherrier, B.
  • Chen, Xiao
  • Madsen, Steen Hjelm
  • Semenov, Sergei
  • Castelli, Marco Raciti
  • Bedon, Gabriele
  • Benini, Ernesto
  • Paulsen, Uwe Schmidt
  • Schmidt Paulsen, Uwe
  • Fedorov, Vladimir
OrganizationsLocationPeople

article

Optimized method for multi-axial fatigue testing of wind turbine blades

  • Belloni, Federico
  • Berring, Peter
  • Branner, Kim
  • Yeniceli, Süleyman Cem
  • Castro, Oscar
  • Stolpe, Mathias
Abstract

An optimized method for testing wind turbine blades under fatigue is suggested. With this method, material-based damage targets along the blade are reached by applying an optimal combination of different uni- and multi-axial test blocks. The combination of test blocks is found using continuous linear optimization. Aeroelastic simulations are carried out to estimate both target and test strain-based damage in the blade. By applying the proposed method to a commercial wind turbine blade, the presented analysis illustrates that improved fatigue tests compared to current standard fatigue tests can be obtained in terms of both accuracy and total test time.

Topics
  • impedance spectroscopy
  • simulation
  • fatigue
  • fatigue testing