Affiliation:
1. College of Physics and Energy , Shenzhen University, Nanhai Ave. 3688, Shenzhen , P.R. China.
Abstract
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.
Subject
Safety, Risk, Reliability and Quality,General Materials Science,Nuclear Energy and Engineering,Nuclear and High Energy Physics,Radiation
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