Published November 7, 2011 | Version v1
Miscellaneous Metadata-only

Predictive assessment of best possible model calibration and data acquisition based on nuclear experiments

Creators

Description

In the present work a general mathematical method [Cacuci an Ionescu-Bujor, 2010b] for simultaneous calibration and assimilation through consistent experimental data is highlighted. The results of this method are identified as the best-estimations of the parameters and responses.

Availability note (English)

Available from: https://publikationen.bibliothek.kit.edu/1000025307/1944264

Additional details

Additional titles

Original title (German)
Praedikitive Einschaetzungen bestmoeglicher Modellkalibrierungen und Datenerhebungen auf Basis kerntechnischer Experimente

Identifiers

URL
https://publikationen.bibliothek.kit.edu/1000025307/1944264;

Publishing Information

Imprint Pagination
207 p.

INIS

Country of Publication
Germany
Country of Input or Organization
Germany
INIS RN
48037795
Subject category
S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
Resource subtype / Literary indicator
Thesis, Non-conventional Literature
Descriptors DEI
A CODES; BENCHMARKS; BEST AVAILABLE TECHNOLOGY; CALIBRATION; COMPUTERIZED SIMULATION; COOLANTS; DATA ACQUISITION; F CODES; FLUCTUATIONS; FLUID MECHANICS; HEAT TRANSFER; MATHEMATICAL MODELS; NUCLEAR FACILITIES; NUMERICAL ANALYSIS; TEMPERATURE DISTRIBUTION; TEST FACILITIES; THERMAL HYDRAULICS; VALIDATION
Descriptors DEC
COMPUTER CODES; DATA PROCESSING; ENERGY TRANSFER; FLUID MECHANICS; HYDRAULICS; MATHEMATICS; MECHANICS; PROCESSING; SIMULATION; TESTING; VARIATIONS