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 (4/4 displayed)

  • 2021Probabilistic S-N curves for CFRP retrofitted steel details33citations
  • 2018Probabilistic Fatigue Crack Initiation and Propagation Fields Using the Strain Energy Density18citations
  • 2016Finite element modeling of short RuCFSTcitations
  • 2016Finite element modelling of short steel tubes filled with rubberized concrete69citations

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Correia, J.
1 / 20 shared
Mohabeddine, A.
1 / 2 shared
Montenegro, Pa
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Berto, F.
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De Jesus, Abílio M. P.
1 / 12 shared
Correia, Jafo
1 / 56 shared
Bertod, F.
1 / 1 shared
Huffman, Pj
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Lesiuk, G.
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Calcada, Rab
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De Jesus, Amp
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Silvestre, N.
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Co-Authors (by relevance)

  • Correia, J.
  • Mohabeddine, A.
  • Montenegro, Pa
  • Berto, F.
  • De Jesus, Abílio M. P.
  • Correia, Jafo
  • Bertod, F.
  • Huffman, Pj
  • Lesiuk, G.
  • Calcada, Rab
  • De Jesus, Amp
  • Silvestre, N.
  • Silva, Ba
  • Duarte, Apc
  • Júlio, E.
  • De Brito, J.
  • Julio, E.
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article

Probabilistic Fatigue Crack Initiation and Propagation Fields Using the Strain Energy Density

  • Correia, Jafo
  • Bertod, F.
  • Huffman, Pj
  • Lesiuk, G.
  • Calcada, Rab
  • Castro, Jm
  • De Jesus, Amp
Abstract

The fatigue crack growth (FCG) has been widely studied by the scientific community. There are several proposed FCG models, the best known being the Paris relation. The fatigue crack initiation and propagation have been studied separately, however, researchers have made an effort to study the relationship between these two fatigue phenomena. In this sense, several fatigue crack growth models based on local approaches have been proposed, the UniGrow model being well-known. The fatigue crack growth process is assumed a succession of crack re-initiations considering a certain elementary material size. Recently, Huffman developed a strain energy density based on Walker-like stress life and fatigue crack growth behavior. In this paper, the Huffman model based on local strain energy density is used to predict the fatigue crack initiation and propagation for the P355NL1 pressure vessel steel. This model is combined with the generalized probabilistic fatigue model proposed by Correia aiming the generation of probabilistic fatigue crack initiation and propagation fields. In this study, the local stress and strains at the crack tip were obtained combining linear-elastic and elastoplastic analyses. The probabilistic fatigue crack growth rates fields for several stress R-ratios are estimated considering strain, SWT, and equivalent stress amplitude damage parameters. A comparison between the experimental FCG data and the generated probabilistic FCG fields is made with very satisfactory correlations being found.

Topics
  • density
  • impedance spectroscopy
  • energy density
  • crack
  • steel
  • fatigue