Fracture and Structural Integrity e-ISSN 1971-8993 Open access
Miscellanea Vol. 7, No. 26 (2013)

A four-parameters model for fatigue crack growth data analysis

Author and affiliation details
DOI
10.3221/IGF-ESIS.26.08
Pages
Pages 69-79
Published

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.

Keywords

Article history

  1. ReceivedUntil the next stage: 0 days
  2. AcceptedUntil the next stage: 0 days
  3. Published

How to cite

APA

Grasso, M., Penta, F., Pinto, P., & Pucillo, G. (2013). A four-parameters model for fatigue crack growth data analysis. Fracture and Structural Integrity, 7(26), Pages 69–79. https://doi.org/10.3221/IGF-ESIS.26.08

IEEE

M. Grasso, F. Penta, P. Pinto, and G. Pucillo, “A four-parameters model for fatigue crack growth data analysis,” Fracture and Structural Integrity, vol. 7, no. 26, pp. Pages 69–79, 2013, doi: 10.3221/IGF-ESIS.26.08.

MLA

Grasso, M., et al. “A four-parameters model for fatigue crack growth data analysis.” Fracture and Structural Integrity, vol. 7, no. 26, 2013, pp. Pages 69–79. https://doi.org/10.3221/IGF-ESIS.26.08.

Chicago

Grasso, M., F. Penta, P. Pinto, and G.P. Pucillo. 2013. “A four-parameters model for fatigue crack growth data analysis.” Fracture and Structural Integrity 7 (26): Pages 69–79. https://doi.org/10.3221/IGF-ESIS.26.08.

Harvard

Grasso, M., Penta, F., Pinto, P. and Pucillo, G. (2013) ‘A four-parameters model for fatigue crack growth data analysis’, Fracture and Structural Integrity, 7(26), pp. Pages 69–79. doi: 10.3221/IGF-ESIS.26.08.

Vancouver

Grasso M, Penta F, Pinto P, Pucillo G. A four-parameters model for fatigue crack growth data analysis. Fracture and Structural Integrity. 2013;7(26):Pages 69-79. doi:10.3221/IGF-ESIS.26.08

BibTeX

@article{grasso2013, author = {Grasso, M. and Penta, F. and Pinto, P. and Pucillo, G.P.}, title = {A four-parameters model for fatigue crack growth data analysis}, journal = {Fracture and Structural Integrity}, year = {2013}, volume = {7}, number = {26}, pages = {Pages 69--79}, doi = {10.3221/IGF-ESIS.26.08}, url = {https://doi.org/10.3221/IGF-ESIS.26.08}, issn = {1971-8993} }

RIS

TY - JOUR AU - Grasso, M. AU - Penta, F. AU - Pinto, P. AU - Pucillo, G.P. TI - A four-parameters model for fatigue crack growth data analysis JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2013 DA - 2013/09/25 VL - 7 IS - 26 SP - Pages 69 EP - 79 DO - 10.3221/IGF-ESIS.26.08 UR - https://doi.org/10.3221/IGF-ESIS.26.08 SN - 1971-8993 ER -

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