A Bayesian framework for quantifying the uncertainty of physical models integrated into thermal-hydraulic computer codes - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

A Bayesian framework for quantifying the uncertainty of physical models integrated into thermal-hydraulic computer codes

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Physics [physics] Nuclear Experiment [nucl-ex] Physics [physics] Nuclear Theory [nucl-th]

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https://hal-cea.archives-ouvertes.fr/cea-02338937

Submitted on : Wednesday, October 30, 2019-11:01:45 AM

Last modification on : Tuesday, April 28, 2020-11:28:13 AM

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cea-02338937 , version 1 (30-10-2019)

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  • HAL Id : cea-02338937 , version 1

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G. Damblin. A Bayesian framework for quantifying the uncertainty of physical models integrated into thermal-hydraulic computer codes. BEST ESTIMATE PLUS UNCERTAINTY CONFERENCE, May 2019, Lucca, Italy. ⟨cea-02338937⟩

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