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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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 (2/2 displayed)

  • 2022Fracture Characterization of Hybrid Bonded Joints (CFRP/Steel) for Pure Mode I1citations
  • 2021Probabilistic S-N curves for CFRP retrofitted steel details33citations

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Chart of shared publication
Correia, J.
2 / 20 shared
Moreira, R.
1 / 1 shared
Lesiuk, G.
1 / 44 shared
De Moura, M.
1 / 1 shared
Dantas, R.
1 / 3 shared
De Jesus, Abílio M. P.
2 / 12 shared
Montenegro, Pa
1 / 2 shared
Berto, F.
1 / 69 shared
Castro, Jm
1 / 4 shared
Chart of publication period
2022
2021

Co-Authors (by relevance)

  • Correia, J.
  • Moreira, R.
  • Lesiuk, G.
  • De Moura, M.
  • Dantas, R.
  • De Jesus, Abílio M. P.
  • Montenegro, Pa
  • Berto, F.
  • Castro, Jm
OrganizationsLocationPeople

article

Probabilistic S-N curves for CFRP retrofitted steel details

  • Correia, J.
  • Mohabeddine, A.
  • Montenegro, Pa
  • Berto, F.
  • Castro, Jm
  • De Jesus, Abílio M. P.
Abstract

Experimental fatigue data of non-cracked open-hole steel specimens retrofitted with bonded carbon fiber reinforced polymer (CFRP) are collected from the literature and assessed in this paper. The specimens are representative of steel plates in tensile riveted or bolted connections. The CFRP substantially extends the fatigue life of specimens at stress range ?? < 220 MPa where the fatigue data points converge towards a fatigue limit. These are promising results since most of the ancient metallic riveted assemblies are subjected to stress levels below 150 MPa. The fatigue life extension ratio decreases when the stress level increases due to the fatigue degradation of the bonding joint and/or the CFRP. The fatigue data of specimens retrofitted with CFRP follow a nonlinear trend and code-based linear S-N curves with a slope m = 3 do not capture this behavior. The commonly used methods that assume the fatigue life extension ratio as constant are not adequate to predict the full fatigue life of CFRP retrofitted specimens. To assess the fatigue behavior of the CFRP retrofitted specimens, probabilistic methods are adopted in this study using: the Normal distribution; the two-parameter Weibull; the Gumbel; and the three-parameter Weibull model developed by Castillo & Fern?andez-Canteli (CFC). Regardless of the assumed distribution function, linear probabilistic S-N curves (P-S-N) are not adequate to model the complex behavior of retrofitted specimens with CFRP. The nonlinear CFC model fitted fairly well the different trends of the fatigue data including the fatigue life at high cycle regime and captured the transition between medium?high cycle range. P-S-N curves derived using the CFC model are proposed for CFRP retrofitted specimens.

Topics
  • polymer
  • Carbon
  • steel
  • fatigue