ENHANCING THE PERFORMANCE OF FISSION SOURCE CONVERGENCE WITH FUNCTIONAL EXPANSION TALLIES IN SERPENT 2 MONTE CARLO CODE
Autor: | Heikki Suikkanen, Jaakko Leppänen, Ana Jambrina |
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Přispěvatelé: | Lappeenrannan-Lahden teknillinen yliopisto LUT, Lappeenranta-Lahti University of Technology LUT, fi=School of Energy Systems|en=School of Energy Systems |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Fission
Computer science monte carlo Physics QC1-999 Monte Carlo method Serpent (cipher) Acceleration Serpent 2 functional expansion tallies acceleration Solver Collision Functional expansion tallies Criticality serpent 2 Source convergence Series expansion Algorithm Monte Carlo Eigenvalues and eigenvectors source convergence |
Zdroj: | EPJ Web of Conferences, Vol 247, p 04001 (2021) VTT Technical Research Centre of Finland-PURE Jambrina, A, Leppänen, J & Suikkanen, H 2020, ' Enhancing the performance of fission source convergence with functional expansion tallies in Serpent 2 Monte Carlo code ', EPJ Web of Conferences, vol. 247, pp. 676-687 . https://doi.org/10.1051/epjconf/202124704001 |
DOI: | 10.1051/epjconf/202124704001 |
Popis: | This paper presents an upgrade to the built-in response matrix based solver implemented in Serpent 2 Monte Carlo code aiming to improve the fission source convergence when obtaining the forward solution to the k-eigenvalue criticality source problems. The functional expansion tallies are introduced in an attempt to improve the accuracy of the cell-wise form factors that feed the response matrix solver, replacing the current mesh-based approach. The functional expansion tallies reconstruct the binning surface and collision tallies, by using high-order series expansion to represent the original and continuous spatial distributions. This new feature is implemented to Serpent 2 and tested by single-assembly and full-core PWR calculations (BEAVRS benchmark). The results show enhanced performance of the convergence acceleration methodology based on an improved initial guess of the fission source. |
Databáze: | OpenAIRE |
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