Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 164, Issue -, Pages 110-123Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2017.03.006
Keywords
Fatigue crack initiation; Global sensitivity analysis; Uncertainty quantification; Uncertainty propagation; Bayesian inference; Markov chain Monte Carlo
Funding
- Rolls-Royce Corporation
- National Science Foundation [CMMI 13-34664]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1334664] Funding Source: National Science Foundation
Ask authors/readers for more resources
A microstructure and deformation mechanism based fatigue crack initiation and life prediction model, which links microstructure variability of a polycrystalline material to the scatter in fatigue life, is validated using an uncertainty quantification and propagation framework. First, global sensitivity analysis (GSA) is used to identify the set of most influential parameters in the fatigue life prediction model. Following GSA, the posterior distributions of all influential parameters are calculated using a Bayesian inference framework, which is built based on a Markov chain Monte Carlo (MCMC) algorithm. The quantified uncertainties thus obtained, are propagated through the model using Monte Carlo sampling technique to make robust predictions of fatigue life. The model is validated by comparing the predictions to experimental fatigue life data.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available