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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2024Characterization and analysis of conduction welded thermoplastic composite joints considering the influence of manufacturing2citations
  • 2024A simulation strategy for fatigue modeling of delamination in composite structures under multiple loading conditions considering loading history and R-curve effects1citations
  • 2024A fatigue test based on inclined loading block concept to benchmark delamination growth considering loading history and R-curve effect2citations
  • 2023The importance of accounting for large deformation in continuum damage models in predicting matrix failure of composites16citations
  • 2023Skin-stringer separation in post-buckling of butt-joint stiffened thermoplastic composite panels24citations
  • 2023Characterization and analysis of the mode I interlaminar fatigue behaviour of thermoplastic composites considering R-curve effects18citations
  • 2022Experimental and numerical evaluation of conduction welded thermoplastic composite joints31citations
  • 2022Characterization and analysis of the interlaminar behavior of thermoplastic composites considering fiber bridging and R-curve effects27citations
  • 2022Experimental analysis and simulation of low-velocity impact damage of composite laminates75citations
  • 2020Development of a Numerical Framework for Virtual Testing to Support Design of a Next Generation Thermoplastic Multifunctional Fuselage7citations
  • 2019Analysis and testing of a thermoplastic composite stiffened panel under compressioncitations
  • 2018Virtual testing of thermoplastic compositescitations

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Chart of shared publication
Turon, A.
8 / 45 shared
Bisagni, Chiara
8 / 13 shared
Leciñana, I.
3 / 3 shared
Zurbitu, J.
3 / 3 shared
Carreras, L.
2 / 4 shared
Renart, J.
4 / 8 shared
Dávila, C. G.
1 / 16 shared
Dooren, K. S. Van
2 / 2 shared
Waleson, J. E. A.
2 / 3 shared
Doldersum, M. H. J.
1 / 1 shared
Abdel-Monsef, S.
1 / 3 shared
Lopes, C. S.
1 / 31 shared
Falcó, O.
1 / 2 shared
Thomson, D.
1 / 10 shared
Ávila, R. L.
1 / 1 shared
Sommer, D. E.
1 / 1 shared
Labans, Edgars
1 / 2 shared
Waleson, J.
2 / 3 shared
Dooren, Kevin Van
1 / 1 shared
Veldman, S. L.
1 / 1 shared
Lopes, Cs
1 / 13 shared
Ingen, J. W. Van
1 / 1 shared
Chart of publication period
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Co-Authors (by relevance)

  • Turon, A.
  • Bisagni, Chiara
  • Leciñana, I.
  • Zurbitu, J.
  • Carreras, L.
  • Renart, J.
  • Dávila, C. G.
  • Dooren, K. S. Van
  • Waleson, J. E. A.
  • Doldersum, M. H. J.
  • Abdel-Monsef, S.
  • Lopes, C. S.
  • Falcó, O.
  • Thomson, D.
  • Ávila, R. L.
  • Sommer, D. E.
  • Labans, Edgars
  • Waleson, J.
  • Dooren, Kevin Van
  • Veldman, S. L.
  • Lopes, Cs
  • Ingen, J. W. Van
OrganizationsLocationPeople

article

A simulation strategy for fatigue modeling of delamination in composite structures under multiple loading conditions considering loading history and R-curve effects

  • Leciñana, I.
  • Zurbitu, J.
  • Tijs, Bas
  • Turon, A.
  • Carreras, L.
  • Renart, J.
Abstract

<p>This work evaluates the ability of cohesive zone modeling-based approaches to predict delamination in composite materials that develop large process zones under complex loading conditions. The R-curve effects subjected to static and fatigue loading under multiple loading modes, considering the loading history, are analyzed. To this end, the delamination predictions of a state-of-the-art CZM-based simulation strategy are evaluated by blind simulation of a validation benchmark test. The validation test promotes a non-self-similar delamination scenario, including a process zone that evolves under different loading mode conditions with a non-straight leading delamination front. Good delamination prediction accuracy is achieved. In addition, insights into the relationship between the features of the simulation strategy and the physics of the delamination process are discussed. With regard to the limitations of the simulation strategy, particular attention should be paid to modeling the contribution of an evolving process zone based on the loading mode history.</p>

Topics
  • impedance spectroscopy
  • simulation
  • fatigue
  • composite