MCMC-Based Fatigue Crack Growth Prediction on 2024-T6 Aluminum Alloy
Joint Authors
He, Yuting
Zhang, Sheng
Du, Xu
Gao, Chao
Liu, Kai
Zhang, Teng
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This work aims to make the crack growth prediction on 2024-T6 aluminum alloy by using Markov chain Monte Carlo (MCMC).
The fatigue crack growth test is conducted on the 2024-T62 aluminum alloy standard specimens, and the scatter of fatigue crack growth behavior was analyzed by using experimental data based on mathematical statistics.
An empirical analytical solution of Paris’ crack growth model was introduced to describe the crack growth behavior of 2024-T62 aluminum alloy.
The crack growth test results were set as prior information, and prior distributions of model parameters were obtained by MCMC using OpenBUGS package.
In the additional crack growth test, the first test point data was regarded as experimental data and the posterior distribution of model parameters was obtained based on prior distributions combined with experimental data by using the Bayesian updating.
At last, the veracity and superiority of the proposed method were verified by additional crack growth test.
American Psychological Association (APA)
Du, Xu& He, Yuting& Gao, Chao& Liu, Kai& Zhang, Teng& Zhang, Sheng. 2017. MCMC-Based Fatigue Crack Growth Prediction on 2024-T6 Aluminum Alloy. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1192702
Modern Language Association (MLA)
Du, Xu…[et al.]. MCMC-Based Fatigue Crack Growth Prediction on 2024-T6 Aluminum Alloy. Mathematical Problems in Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1192702
American Medical Association (AMA)
Du, Xu& He, Yuting& Gao, Chao& Liu, Kai& Zhang, Teng& Zhang, Sheng. MCMC-Based Fatigue Crack Growth Prediction on 2024-T6 Aluminum Alloy. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1192702
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192702