Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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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.

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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.

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Technical University of Denmark

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2021Optimized method for multi-axial fatigue testing of wind turbine blades16citations
  • 2018Optimal design of galvanic corrosion protection systems for offshore wind turbine support structures5citations
  • 2011Optimization strategies for discrete multi-material stiffness optimization67citations
  • 2011Maximum stiffness and minimum weight optimization of laminated composite beams using continuous fiber angles42citations
  • 2009Benders decomposition for discrete material optimization in laminate design with local failure criteriacitations

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Belloni, Federico
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Berring, Peter
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Branner, Kim
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Yeniceli, Süleyman Cem
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Castro, Oscar
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Sarhadi, Ali
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Abrahamsen, Asger Bech
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Lund, Erik
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Hvejsel, Christian Frier
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Blasques, José Pedro Albergaria Amaral
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Munoz, Eduardo
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Bendsøe, Martin P.
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2018
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Co-Authors (by relevance)

  • Belloni, Federico
  • Berring, Peter
  • Branner, Kim
  • Yeniceli, Süleyman Cem
  • Castro, Oscar
  • Sarhadi, Ali
  • Abrahamsen, Asger Bech
  • Lund, Erik
  • Hvejsel, Christian Frier
  • Blasques, José Pedro Albergaria Amaral
  • Munoz, Eduardo
  • Bendsøe, Martin P.
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