Paper Profile


Physics-guided Coverage Mapping (PCM): A New Methodology to Avoid Model Calibration


Documents: Full paper available in Conference Proceedings.
 
Date: Tuesday October 20
Time:11:35 - 12:00
 
Session:2A2: V&V, Uncertainty Quantification I
 
Authors: Hany S. Abdel-Khalik (Purdue University, USA)
Ayman Hawari (North Carolina State University, USA)
Congjian Wang (Purdue University, USA)
Abstract:

This manuscript deals with a fundamental question in model validation: given a body of available experiments and an envisaged domain of reactor operating conditions (referred to as reactor application), how can one develop a quantitative approach that measures the portion of the prior uncertainties of the reactor application that is covered by the available experiments? Coverage here means that the uncertainties of the reactor application are originating from and behaving in exactly the same way as those observed at the experimental conditions. This approach is valuable as it provides a scientifically defendable criterion by which experimentally measured biases can be credibly extrapolated (i.e., mapped) to biases for the reactor applications. This manuscript introduces a novel approach, referred to as physics-guided coverage mapping (PCM) which provides a natural solution to this problem by relying on high fidelity physics simulation. We discuss the potential advantages of PCM over the methods of similarity indices, data assimilation, and model calibration commonly employed in the nuclear community.

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