Materials Map

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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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2019PRE-STRAIN EFFECTS ON MIXED-MODE FATIGUE CRACK PROPAGATION BEHAVIOUR OF THE P355NL1 PRESSURE VESSELS STEELcitations
  • 2017Unified two-stage fatigue methodology based on a probabilistic damage model applied to structural details42citations
  • 2017Fatigue crack propagation prediction of a pressure vessel mild steel based on a strain energy density model25citations
  • 2017Probabilistic fatigue S-N curves derivation for notched components23citations
  • 2017Statistical evaluation of fatigue strength of double shear riveted connections and crack growth rates of materials from old bridges48citations
  • 2016A probabilistic analysis of Miner's law for different loading conditions44citations
  • 2016Application of modal superposition technique in the fatigue analysis using local approaches10citations
  • 2015Probabilistic S-N field assessment for a notched plate made of puddle iron from the Eiffel bridge with an elliptical hole6citations
  • 2015Modelling probabilistic fatigue crack propagation rates for a mild structural steel32citations
  • 2013Local unified probabilistic model for fatigue crack initiation and propagation: Application to a notched geometry76citations
  • 2012A procedure to derive probabilistic fatigue crack propagation data35citations
  • 2010Analysis of Constant and Variable Amplitude Strain-Life Data Using a Novel Probabilistic Weibull Regression Model11citations

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Correia, Jafo
11 / 56 shared
Lesiuk, G.
3 / 44 shared
Blason Gonzalez, Sb
1 / 1 shared
Gonzalez, Mcr
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Ferreira, J.
2 / 15 shared
De Jesus, Amp
11 / 92 shared
Huffman, Pj
2 / 3 shared
Berto, F.
2 / 69 shared
Cicero, S.
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Glinka, G.
2 / 2 shared
Calcada, Rab
4 / 11 shared
Hebdon, M.
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Raposo, P.
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Sire, S.
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Plu, B.
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Rebelo, C.
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Mayorga, Lg
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Ragueneau, M.
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Blason, S.
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Silva Horas, Cs
1 / 1 shared
Pelayo, F.
1 / 1 shared
Calcada, R.
1 / 17 shared
Kripakaran, P.
1 / 3 shared
Aenlle, Ml
1 / 1 shared
Xavier, Jmc
1 / 1 shared
Sampayo, Lmcmv
1 / 2 shared
Monteiro, Pmf
1 / 1 shared
Jesus, Ampd
1 / 1 shared
Castillo, E.
1 / 5 shared
Pereira, Hfsg
1 / 3 shared
Pinto, H.
1 / 15 shared
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Co-Authors (by relevance)

  • Correia, Jafo
  • Lesiuk, G.
  • Blason Gonzalez, Sb
  • Gonzalez, Mcr
  • Ferreira, J.
  • De Jesus, Amp
  • Huffman, Pj
  • Berto, F.
  • Cicero, S.
  • Glinka, G.
  • Calcada, Rab
  • Hebdon, M.
  • Raposo, P.
  • Sire, S.
  • Plu, B.
  • Rebelo, C.
  • Mayorga, Lg
  • Ragueneau, M.
  • Blason, S.
  • Silva Horas, Cs
  • Pelayo, F.
  • Calcada, R.
  • Kripakaran, P.
  • Aenlle, Ml
  • Xavier, Jmc
  • Sampayo, Lmcmv
  • Monteiro, Pmf
  • Jesus, Ampd
  • Castillo, E.
  • Pereira, Hfsg
  • Pinto, H.
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article

Analysis of Constant and Variable Amplitude Strain-Life Data Using a Novel Probabilistic Weibull Regression Model

  • Castillo, E.
  • Pereira, Hfsg
  • Pinto, H.
  • Fernandez Canteli, A.
  • De Jesus, Amp
Abstract

The relation between the total strain amplitude and the fatigue life measured in cycles is usually given as strain-life curves based on the former proposals of Basquin, for the elastic strain-life, and Coffin-Manson, for the plastic sit-am-life In this paper, a novel Weibull regression model, based on an existing well established Weibull model for the statistical assessment of stress-life fatigue data, is proposed for the probabilistic definition of the strain-life field This approach arises from sound statistical and physical assumptions and not from an empirical proposal insufficiently supported It provides, an analytical probabilistic definition of the whole strain-life field as quantile curves, both in the low-cycle and high-cycle fatigue regions The proposed model deals directly with the total strain, without the need of separating us elastic. mid plastic strain components, permit dealing with run-outs, and can be applied for probabilistic lifetime prediction using damage accumulation The parameters of the model can be estimated using different well established methods proposed in the fatigue literature, in particular, the maximum likelihood and the two-stage methods In this work. the proposed model is applied to analyze fatigue data, available for a pressure vessel material-the P355NLI steel-consisting of constant amplitude, block, and spectrum loading, applied to smooth specimens, previously obtained and published by audio's A new scheme to deal with variable amplitude loading in the background of the proposed regression strain-life Weibull model is described The possibility to identify the model constants using both constant amplitude and two-block loading data is discussed It is demonstrated that the proposed probabilistic model is able to correlate the constant amplitude strain-life data Furthermore, it can be used to correlate the variable amplitude fatigue data if the model constants are derived from two-block loading data The proposed probabilistic regression model is suitable for reliability analysis of notched details in the framework of the local approaches [DOI 10 1115/1 4001654]

Topics
  • impedance spectroscopy
  • polymer
  • steel
  • fatigue
  • additive manufacturing