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Probabilistic Fatigue Assessment of a Notched Detail Taking Into Account Mean Stress Effects.

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Title: Probabilistic Fatigue Assessment of a Notched Detail Taking Into Account Mean Stress Effects.
Authors: De Jesus, Abílio M. P.1 ajesus@utad.pt, Luisa Ruiz Ripoll, M.2 m.luisa.ruiz.ripoll@iwm.fraunhofer.de, Fernández-Canteli, Alfonso3 Spainafc@uniovi.es, Castillo, Enrique4 castie@unican.es, Pereira, Hélder F. S. G.5 hfpereira@portugalmail.pt
Source: Journal of Pressure Vessel Technology. Apr2012, Vol. 134 Issue 2, p1-1. 1p.
Subjects: Material fatigue, Fatigue life, Material plasticity
Abstract: Probabilistic fatigue models are required to account conveniently for the several sources of uncertainty arising in the prediction procedures, such as the scatter in material behavior. In this paper, a recently proposed stress-based probabilistic model is assessed using fatigue data available for the P355NL1 steel (a pressure vessel steel). The referred probabilistic model is a log-Gumbel regression model, able to predict the probabilistic Wöhler field (P-S-N field), taking into account the mean stress (or stress R-ratio) effects. The parameters of the probabilistic model are identified using stress-life data derived for the P355NL1 steel, from smooth specimens, for three distinct stress R-ratios, namely R = -1, R = -0.5, and R = 0. The model requires a minimum of two test series with distinct stress R-ratios. Since data from three test series is available, extrapolations are performed to test the adequacy of the model to make extrapolations for stress R-ratios other than those used in the model parameters assessment. Finally, the probabilistic model is used to model the fatigue behavior of a notched plate made of P355NL1 steel. In particular, the P-S-N field of the plate is modeled and compared with available experimental data. Cyclic elastoplastic analysis of the plate is performed since plasticity at the notch root is developed. The probabilistic model correlated appropriately the stress-life data available for the P355NL1 steel and was able to perform extrapolations for stress ratios other than those used in the model identification. The P-S-N field identified using data from smooth specimens led to consistent predictions of the P-S-N field for a notched plate, demonstrating the adequacy of the probabilistic model also to predict the probabilistic Wöhler field for notched components. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Pressure Vessel Technology is the property of American Society of Mechanical Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 111939278
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Probabilistic Fatigue Assessment of a Notched Detail Taking Into Account Mean Stress Effects.
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  Data: <searchLink fieldCode="AR" term="%22De+Jesus%2C+Abílio+M%2E+P%2E%22">De Jesus, Abílio M. P.</searchLink><relatesTo>1</relatesTo><i> ajesus@utad.pt</i><br /><searchLink fieldCode="AR" term="%22Luisa+Ruiz+Ripoll%2C+M%2E%22">Luisa Ruiz Ripoll, M.</searchLink><relatesTo>2</relatesTo><i> m.luisa.ruiz.ripoll@iwm.fraunhofer.de</i><br /><searchLink fieldCode="AR" term="%22Fernández-Canteli%2C+Alfonso%22">Fernández-Canteli, Alfonso</searchLink><relatesTo>3</relatesTo><i> Spainafc@uniovi.es</i><br /><searchLink fieldCode="AR" term="%22Castillo%2C+Enrique%22">Castillo, Enrique</searchLink><relatesTo>4</relatesTo><i> castie@unican.es</i><br /><searchLink fieldCode="AR" term="%22Pereira%2C+Hélder+F%2E+S%2E+G%2E%22">Pereira, Hélder F. S. G.</searchLink><relatesTo>5</relatesTo><i> hfpereira@portugalmail.pt</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Pressure+Vessel+Technology%22">Journal of Pressure Vessel Technology</searchLink>. Apr2012, Vol. 134 Issue 2, p1-1. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Material+fatigue%22">Material fatigue</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+life%22">Fatigue life</searchLink><br /><searchLink fieldCode="DE" term="%22Material+plasticity%22">Material plasticity</searchLink>
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  Label: Abstract
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  Data: Probabilistic fatigue models are required to account conveniently for the several sources of uncertainty arising in the prediction procedures, such as the scatter in material behavior. In this paper, a recently proposed stress-based probabilistic model is assessed using fatigue data available for the P355NL1 steel (a pressure vessel steel). The referred probabilistic model is a log-Gumbel regression model, able to predict the probabilistic Wöhler field (P-S-N field), taking into account the mean stress (or stress R-ratio) effects. The parameters of the probabilistic model are identified using stress-life data derived for the P355NL1 steel, from smooth specimens, for three distinct stress R-ratios, namely R = -1, R = -0.5, and R = 0. The model requires a minimum of two test series with distinct stress R-ratios. Since data from three test series is available, extrapolations are performed to test the adequacy of the model to make extrapolations for stress R-ratios other than those used in the model parameters assessment. Finally, the probabilistic model is used to model the fatigue behavior of a notched plate made of P355NL1 steel. In particular, the P-S-N field of the plate is modeled and compared with available experimental data. Cyclic elastoplastic analysis of the plate is performed since plasticity at the notch root is developed. The probabilistic model correlated appropriately the stress-life data available for the P355NL1 steel and was able to perform extrapolations for stress ratios other than those used in the model identification. The P-S-N field identified using data from smooth specimens led to consistent predictions of the P-S-N field for a notched plate, demonstrating the adequacy of the probabilistic model also to predict the probabilistic Wöhler field for notched components. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Pressure Vessel Technology is the property of American Society of Mechanical Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1115/1.4005392
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        Text: English
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      – SubjectFull: Fatigue life
        Type: general
      – SubjectFull: Material plasticity
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      – TitleFull: Probabilistic Fatigue Assessment of a Notched Detail Taking Into Account Mean Stress Effects.
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            NameFull: De Jesus, Abílio M. P.
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            NameFull: Fernández-Canteli, Alfonso
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            NameFull: Castillo, Enrique
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              Text: Apr2012
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              Y: 2012
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