Bayesian analysis of fatigue data with multi-load-level damage accumulation : the benefits of rerun specimens |
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Author: | Väntänen, Miikka1; Vaara, Joona2; Kemppainen, Jukka3; |
Organizations: |
1Global Boiler Works Oy, Lumijoentie 8, 90400 Oulu, Finland 2Wärtsilä, Järvikatu 2-4, 65100 Vaasa, Finland 3University of Oulu, Pentti Kaiteran katu 1, 90014 Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | embargoed |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2020111290015 |
Language: | English |
Published: |
Elsevier,
2020
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Publish Date: | 2022-04-07 |
Description: |
AbstractA hierarchical Bayesian approach to analysing fatigue test data including reinserted specimens is proposed. It is found that the inference model is capable of fitting the fatigue damage model to the observed data well. After the addition of rerun specimen data, the results show a significant change in the predictive SN curves. For the analysed 40CrMo8 fatigue data sets, the deviation of fatigue limit is the primary explanatory mechanism for the observed fatigue life scatter. The change of predictive fatigue limit distribution after the addition of rerun data is compared to the change due to additional (simulated) virgin specimen tests. see all
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Series: |
International journal of fatigue |
ISSN: | 0142-1123 |
ISSN-E: | 1879-3452 |
ISSN-L: | 0142-1123 |
Volume: | 138 |
Article number: | 105601 |
DOI: | 10.1016/j.ijfatigue.2020.105601 |
OADOI: | https://oadoi.org/10.1016/j.ijfatigue.2020.105601 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
111 Mathematics 112 Statistics and probability 214 Mechanical engineering |
Subjects: | |
Funding: |
The authors would like to acknowledge the financial support of Business Finland for WIMMA Wärtsilä Dnro 1566/31/2015, ISA Wärtsilä Dnro 7734/31/2018 and ISA GBW Dnro 7752/31/18. |
Copyright information: |
© 2020 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |