An Effective Bayesian Method for Probability Fatigue Crack Propagation Modeling through Test Data
Joint Authors
He, Yuting
Zhang, Sheng
Du, Xu
Gao, Chao
Zhang, Teng
Zhang, Tianyu
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Fatigue crack growth test for 2A12-T4 aluminum alloy was conducted under constant amplitude loading, and the scatter of fatigue crack growth was analyzed by using experimental data based on mathematical statistics.
A probabilistic modeling method was introduced to describe the crack growth behavior of 2A12-T4 aluminum alloy.
The posterior distribution of model parameter is obtained based on diffuse prior distribution and fatigue crack test data, which is through Bayesian updating.
Based on posterior samples of model parameter, the simulation steps and approach give us the crack length exceedance probability, the cumulative distribution function of loading cycle number, and scatter of crack length and loading cycle number, of which simulation results were used to verify the veracity and superiority of the proposed model versus the experimental results.
In the present study, it can be used for the reliability assessment of aircraft cracked structures.
American Psychological Association (APA)
Du, Xu& He, Yuting& Zhang, Tianyu& Gao, Chao& Zhang, Teng& Zhang, Sheng. 2019. An Effective Bayesian Method for Probability Fatigue Crack Propagation Modeling through Test Data. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1197215
Modern Language Association (MLA)
Du, Xu…[et al.]. An Effective Bayesian Method for Probability Fatigue Crack Propagation Modeling through Test Data. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1197215
American Medical Association (AMA)
Du, Xu& He, Yuting& Zhang, Tianyu& Gao, Chao& Zhang, Teng& Zhang, Sheng. An Effective Bayesian Method for Probability Fatigue Crack Propagation Modeling through Test Data. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1197215
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197215