Modeling metallic fatigue data using the Birnbaum--Saunders distribution
Computation
2023-07-07 v3 Applications
Abstract
This work employs the Birnbaum--Saunders distribution to model the fatigue life of metallic materials under cyclic loading and compares it with the normal distribution. Fatigue-limit models are fitted to three datasets of unnotched specimens of 75S-T6 aluminum alloys and carbon laminate with different loading types. A new equivalent stress definition that accounts for the effect of the experiment type is proposed. The results show that the Birnbaum--Saunders distribution consistently outperforms the normal distribution in fitting the fatigue data and provides more accurate predictions of fatigue life and survival probability.
Keywords
Cite
@article{arxiv.2303.05040,
title = {Modeling metallic fatigue data using the Birnbaum--Saunders distribution},
author = {Zaid Sawlan and Marco Scavino and Raul Tempone},
journal= {arXiv preprint arXiv:2303.05040},
year = {2023}
}