Consistency considerations on a large databank and wide range heat transfer prediction for supercritical water in circular tubes

The derived information on error levels made a high-performance methodology of data assimilation and model calibration (Cacuci and Ionescu-Bujor, 2010) subsequently accessible to this domain of experimental data. The BESTEST module (Badea et al., 2011) based on the methodology of data assimilation and model calibration (Cacuci and Ionescu-Bujor, 2010) was used in an iterative manner to optimize a new proposed correlation able to describe with good accuracy a large domain of the databank.