Quantifying uncertainty in thermophysical properties of walls by means of Bayesian inversion
We introduce a computational framework to statistically infer thermophysical properties of any given wall from in-situ measurements of air temperature and surface heat fluxes. The proposed framework uses these measurements, within a Bayesian calibration approach, to sequentially infer input paramete...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier
2018
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/53006/ |