In the present paper, two methodologies for the estimation of the design curves of datasets with failures originating from defects are proposed. With the first methodology, the Likelihood Ratio Confidence Bound of a specific quantile P-S-N curve is considered. The second method is based on the bootstrap approach, with a large number of datasets simulated starting from the stress life and the defect size distributions estimated from the experimental data. The two approaches have been validated on literature datasets covering also the Very High Cycle Fatigue (VHCF) life region, proving their effectiveness.

Statistical estimation of fatigue design curves from datasets involving failures from defects / Tridello, A; Boursier Niutta, C; Rossetto, M; Berto, F; Paolino, Ds. - In: INTERNATIONAL JOURNAL OF FATIGUE. - ISSN 0142-1123. - 176:(2023), p. 107882. [10.1016/j.ijfatigue.2023.107882]

Statistical estimation of fatigue design curves from datasets involving failures from defects

Tridello, A;Boursier Niutta, C;Rossetto, M;Paolino, DS
2023

Abstract

In the present paper, two methodologies for the estimation of the design curves of datasets with failures originating from defects are proposed. With the first methodology, the Likelihood Ratio Confidence Bound of a specific quantile P-S-N curve is considered. The second method is based on the bootstrap approach, with a large number of datasets simulated starting from the stress life and the defect size distributions estimated from the experimental data. The two approaches have been validated on literature datasets covering also the Very High Cycle Fatigue (VHCF) life region, proving their effectiveness.
File in questo prodotto:
File Dimensione Formato  
IJF2023.pdf

accesso aperto

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Creative commons
Dimensione 2.72 MB
Formato Adobe PDF
2.72 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2983584