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Proposal of a novel CHF correlation for PWR under low pressure conditions based on stepwise regression method

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Published/Copyright: June 8, 2018
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Abstract

Constrained by limited experimental data, development of CHF correlation for PWR fuel assemblies under transient and accidental conditions at low pressure levels (2–10 MPa) is a typical statistical problem with small sample amounts, but simultaneously has requirements of high prediction accuracy. In this study, stepwise regression method was used to develop a new CHF correlation for application in PWR under low pressure conditions. First, several essential thermal-hydraulic parameters which might influence CHF were selected based on consensus characteristics of DNB phenomenon. With stepwise regression, the form and coefficients of the proposed CHF correlation were optimized in a dynamic manner. Compared to currently available CHF correlations, represented by the Westinghouse W-3 correlation, the CHF correlation obtained by stepwise regression has a much simpler form and matches also well with the experimental data.

Kurzfassung

Durch begrenzte experimentelle Daten gekennzeichniet stellt die Entwicklung einer CHF-Korrelation für DWR-Brennstoffelemente unter transienten und zufälligen Bedingungen bei niedrigen Drücken (2–10 MPa) ein typisches statistisches Problem bei kleinen Probenmengen dar. Gleichzeitig bestehen aber hohe Anforderungen an die Vorhersagegenauigkeit. In dieser Studie wurde mit Hilfe einer schrittweisen Regressionsmethode eine neue CHF-Korrelation für die Anwendung in DWR unter Niedrigdruckbedingungen entwickelt. Zunächst wurden einige wesentliche thermohydraulische Parameter, die den CHF beeinflussen können, auf der Grundlage von Konsenscharakteristika des DNB-Phänomens ausgewählt. Mit der schrittweisen Regression wurden Form und Koeffizienten der vorgeschlagenen CHF-Korrelation dynamisch optimiert. Im Vergleich zu den derzeit verfügbaren CHF-Korrelationen, dargestellt durch die Westinghouse W-3-Korrelation, hat die durch schrittweise Regression erhaltene CHF-Korrelation eine viel einfachere Form und passt dennoch gut zu den experimentellen Daten.


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Received: 2018-01-02
Published Online: 2018-06-08
Published in Print: 2018-06-18

© 2018, Carl Hanser Verlag, München

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