a four-parameters model for fatigue crack growth data analysis

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ID: 209458
2013
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Abstract
A four-parameters model for interpolation of fatigue crack growth data is presented. It has been validated by means of both data produced by the Authors and data collected from Literature. The proposed model is an enhanced version of a three-parameters model already discussed in a previous work that has been suitably modified in order to overcome some drawbacks raised when applied to a quite wider experimental data set. Results of validation study have also revealed that the new model, besides interpolating accurately crack growth data, allows to identify the presence of anomalies in the data sets. For this reason, by a suitable filter to be chosen depending on the size and number of anomalies, it can be used to remove them and obtain sigmoidal crack propagation curves smoother than those obtained when the current analysis techniques are used. In the end, possible model parameters correlations are analysed.
Reference Key
pucillo2013fratturaa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;G.P. Pucillo;P. Pinto;F. Penta;M. Grasso
Journal applied catalysis
Year 2013
DOI
10.3221/IGF-ESIS.26.08
URL
http://www.gruppofrattura.it/pdf/rivista/numero26/numero_26_art_8.pdf
Keywords
fatigue crack propagation fatigue damage fatiguemechanical engineering and machinerystructural engineering (general)

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