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)

  • 2022Fatigue crack growth modelling by means of the strain energy density-based Huffman model considering the residual stress effect8citations
  • 2021Low-cycle fatigue modelling supported by strain energy density-based Huffman model considering the variability of dislocation density15citations
  • 2020Fatigue crack growth modelling of Fao Bridge puddle iron under variable amplitude loading33citations
  • 2019Global-local fatigue assessment of an ancient riveted metallic bridge based on submodelling of the critical detail54citations

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Chart of shared publication
Correia, J.
4 / 20 shared
Lesiuk, G.
3 / 44 shared
Ribeiro, V.
2 / 2 shared
Goncalves, A.
2 / 4 shared
Berto, F.
3 / 69 shared
De Jesus, Abílio M. P.
2 / 12 shared
Carvalho, H.
2 / 7 shared
Calcada, R.
2 / 17 shared
De Jesus, A.
2 / 6 shared
Grilo, Lf
1 / 1 shared
Liu, Z.
1 / 46 shared
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Co-Authors (by relevance)

  • Correia, J.
  • Lesiuk, G.
  • Ribeiro, V.
  • Goncalves, A.
  • Berto, F.
  • De Jesus, Abílio M. P.
  • Carvalho, H.
  • Calcada, R.
  • De Jesus, A.
  • Grilo, Lf
  • Liu, Z.
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article

Fatigue crack growth modelling of Fao Bridge puddle iron under variable amplitude loading

  • Correia, J.
  • Carvalho, H.
  • Lesiuk, G.
  • Mourao, A.
  • Calcada, R.
  • De Jesus, A.
  • Grilo, Lf
Abstract

This study addresses the fatigue crack growth behaviour of a material from an old riveted steel bridge, the Portuguese Fao Bridge, based on an experimental program of constant and variable amplitude loading tests. The material under consideration is a centenary puddle iron, for which information on fatigue crack growth under variable amplitude loads is not available in the literature. Additionally, the experimental program aimed at analysing the fracture surfaces of the specimens through observations under Scanning Electron Microscopy (SEM), and correlate their characteristics with macroscopic fatigue crack growth behaviour. Furthermore, a crack closure analysis was performed using electrical strain gauges applied on the back face of the CT specimens. The fatigue crack propagation along the parallel to the rolling direction (L) revealed to be higher when compared with the transverse direction (T). The experimental data obtained in this study were compared with existing fatigue crack propagation models, such as the Paris model with linear damage accumulation, according to Miner's rule, as well as with more complex crack propagation models, with capacity for modelling retardation effects of single overloads. The Paris model with linear damage accumulation, despite its simplicity, led to the best predictions for the generality of variable amplitude random block loading. The original Wheeler model is enough to correlate the crack propagation data under overloads, since the application of more sophisticated models would not be justified by the extremely high scatter observed in these old materials.

Topics
  • impedance spectroscopy
  • surface
  • scanning electron microscopy
  • crack
  • steel
  • fatigue
  • iron
  • random