A fast Bayesian inference scheme for identification of local structural properties of layered composites based on wave and finite element-assisted metamodeling strategy and ultrasound measurements
- Submitting institution
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University of Nottingham, The
- Unit of assessment
- 12 - Engineering
- Output identifier
- 4279607
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2020.106802
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- 106802
- First page
- -
- Volume
- 143
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
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H - Composites
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research package attracted interest from leaders in the uncertainty quantification field including this collaboration with Costas Papadimitriou and Ka-Veng Yuen, two internationally leading researchers in 'modelling under uncertainty'. They were enthusiastic in contributing towards the Bayesian inference scheme which resulted in publishing this framework accompanied by experimental validation. This work also includes industrial participation from Aernnova Engineering.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
