Consistent and coherent treatment of uncertainties and dependencies in fatigue crack growth calculations using multi-level Bayesian models
- Submitting institution
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The University of Surrey
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9002858_1
- Type
- D - Journal article
- DOI
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10.1016/j.ress.2020.107117
- Title of journal
- Reliability Engineering & System Safety
- Article number
- 107117
- First page
- 107117
- Volume
- 204
- Issue
- -
- ISSN
- 0951-8320
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2020
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
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- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In this work, funded by LRF and EPSRC, a multi-variate distribution of fatigue crack growth parameters is obtained through hierarchical Bayesian modelling. Benefits of partial pooling of information are demonstrated by re-analysing datasets used in BS7910, highlighting the potential to transform the way in which such datasets can provide credible intervals for crack growth predictions. The method has attracted the attention of the BS7910 fatigue sub-committee looking into the next revision ("a very good example of how NSIRC can pick up low-TRL research and move it up into standards and ultimately into safety cases" Dr Hadley, TWI Fellow, isabel.hadley@twi.co.uk)
- Author contribution statement
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- Non-English
- No
- English abstract
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