A four-parameters model for fatigue crack growth data analysis
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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Gruppo Italiano Frattura
2013-09-01
|
| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://www.fracturae.com/index.php/fis/article/view/1172 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846145550932508672 |
|---|---|
| author | M. Grasso F. Penta P. Pinto G.P. Pucillo |
| author_facet | M. Grasso F. Penta P. Pinto G.P. Pucillo |
| author_sort | M. Grasso |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a8f4d559d9a24d879fb38f2e3ddda8fc |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2013-09-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-a8f4d559d9a24d879fb38f2e3ddda8fc2024-12-02T05:48:16ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932013-09-01726A four-parameters model for fatigue crack growth data analysisM. GrassoF. PentaP. PintoG.P. PucilloA 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.https://www.fracturae.com/index.php/fis/article/view/1172Correlation model |
| spellingShingle | M. Grasso F. Penta P. Pinto G.P. Pucillo A four-parameters model for fatigue crack growth data analysis Fracture and Structural Integrity Correlation model |
| title | A four-parameters model for fatigue crack growth data analysis |
| title_full | A four-parameters model for fatigue crack growth data analysis |
| title_fullStr | A four-parameters model for fatigue crack growth data analysis |
| title_full_unstemmed | A four-parameters model for fatigue crack growth data analysis |
| title_short | A four-parameters model for fatigue crack growth data analysis |
| title_sort | four parameters model for fatigue crack growth data analysis |
| topic | Correlation model |
| url | https://www.fracturae.com/index.php/fis/article/view/1172 |
| work_keys_str_mv | AT mgrasso afourparametersmodelforfatiguecrackgrowthdataanalysis AT fpenta afourparametersmodelforfatiguecrackgrowthdataanalysis AT ppinto afourparametersmodelforfatiguecrackgrowthdataanalysis AT gppucillo afourparametersmodelforfatiguecrackgrowthdataanalysis AT mgrasso fourparametersmodelforfatiguecrackgrowthdataanalysis AT fpenta fourparametersmodelforfatiguecrackgrowthdataanalysis AT ppinto fourparametersmodelforfatiguecrackgrowthdataanalysis AT gppucillo fourparametersmodelforfatiguecrackgrowthdataanalysis |