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Probabilistic modeling of the size effect and scatter in High Cycle Fatigue using a Monte-Carlo approach: role of the defect population in cast aluminum alloys

Authors :
Franck Morel
Pierre Osmond
Driss El Khoukhi
Viet-Duc Le
Daniel Bellett
Nicolas Saintier
Institut de Mécanique et d'Ingénierie (I2M)
Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies
HESAM Université (HESAM)-HESAM Université (HESAM)
Source :
International Journal of Fatigue, International Journal of Fatigue, Elsevier, 2021, pp.106177. ⟨10.1016/j.ijfatigue.2021.106177⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

In this study, a probabilistic model based on Monte-Carlo theory is applied to predict the fatigue behavior of cast aluminum alloys. The objective of the proposed approach is to investigate the effect of porosity (i.e. the defect size distribution and spatial density) on the fatigue strength and its associated scatter for uniaxial fatigue loads with the load ratio R = 0.1. The proposed model is applied to two cast aluminum alloys with very different defect characteristics. The results for these two alloys confirm that the model can be used to predict the average fatigue strength with a relative error

Details

Language :
English
ISSN :
01421123
Database :
OpenAIRE
Journal :
International Journal of Fatigue, International Journal of Fatigue, Elsevier, 2021, pp.106177. ⟨10.1016/j.ijfatigue.2021.106177⟩
Accession number :
edsair.doi.dedup.....b3f628cb13f4187233ea62874ae2378b
Full Text :
https://doi.org/10.1016/j.ijfatigue.2021.106177⟩