2008
DOI: 10.1016/j.anucene.2008.07.003
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Development and validation of a cross-section interface for PARCS

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Cited by 16 publications
(4 citation statements)
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“…• The cross-section values are approximated by adding some perturbation or correction terms to values calculated at or around the nominal point, see e.g. [9], [10], [8], [11]. In general, the correction terms are based on physical knowledge or some expansion techniques, such as the Taylor expansion.…”
Section: Overview Of Different Methods For the Reconstruction Of Neutmentioning
confidence: 99%
See 1 more Smart Citation
“…• The cross-section values are approximated by adding some perturbation or correction terms to values calculated at or around the nominal point, see e.g. [9], [10], [8], [11]. In general, the correction terms are based on physical knowledge or some expansion techniques, such as the Taylor expansion.…”
Section: Overview Of Different Methods For the Reconstruction Of Neutmentioning
confidence: 99%
“…for points on the right hand side of (7) (11) where N j is the number of points of the fine discretization in direction j and r max j is the maximal number of tensor directional basis functions in direction j, over all cross-sections.…”
Section: Cost Of the Tucker Decomposition Compared To The Multilinearmentioning
confidence: 99%
“…The capabilities of PARCS in eigenvalues and critical boron level searches, as well as control rods movement modeling makes it an important tool for analyzing short-term (KINETIC) and longterm (DEPLETION) transients of light water nuclear reactor. Meanwhile PARCS is coupled with RELAP5 and the TH feedbacks are elegantly implemented (Stålek and Demazi ere, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…the macroscopic depletion and the microscopic depletion models) [3,10,11]. In the macroscopic depletion model, since the macroscopic cross sections needed as one of the input data to carry out the core calculations are mainly tabulated, the computational load can be saved.…”
Section: Overview Of the Cross-section Modelmentioning
confidence: 99%