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Building the nodal nuclear data dependences in a many-dimensional state-variable space
Chalmers University of Technology, Applied Physics. (Nuclear Engineering)ORCID iD: 0000-0002-7943-7517
2011 (English)In: Annals of Nuclear Energy, ISSN 0306-4549, E-ISSN 1873-2100, Vol. 38, no 7, 1569-1577 p.Article in journal (Refereed) Published
Abstract [en]

We present new methods for building the polynomial-regression based nodal nuclear data models. Thedata models can reflect dependences on a large number of state variables, and they can consider varioushistory effects. Suitable multivariate polynomials that approximate the nodal data dependences are identifiedefficiently in an iterative manner. The history effects are analysed using a new sampling scheme forlattice calculations where the traditional base burnup and branch calculations are replaced by a largenumber of diverse burnup histories. The total number of lattice calculations is controlled so that the datamodels are built to a required accuracy.

Place, publisher, year, edition, pages
2011. Vol. 38, no 7, 1569-1577 p.
Keyword [en]
Nodal nuclear data, Group neutron cross sections, Lattice calculations, Polynomial regression, History effects
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-86840DOI: 10.1016/j.anucene.2011.03.006ISI: 000291337900013OAI: oai:DiVA.org:kth-86840DiVA: diva2:501089
Note
QC 20120215Available from: 2012-02-13 Created: 2012-02-13 Last updated: 2017-12-07Bibliographically approved

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Dufek, Jan

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