Practical Monte Carlo simulation using modified power method with preconditioning. (May 2019)
- Record Type:
- Journal Article
- Title:
- Practical Monte Carlo simulation using modified power method with preconditioning. (May 2019)
- Main Title:
- Practical Monte Carlo simulation using modified power method with preconditioning
- Authors:
- Zhang, Peng
Lee, Hyunsuk
Lemaire, Matthieu
Kong, Chidong
Choe, Jiwon
Yu, Jiankai
Khoshahval, Farrokh
Lee, Deokjung - Abstract:
- Highlights: A preconditioning method is developed for MC modified power method simulation. The preconditioning resolves the stability issue for practical application of MC MPM. The accumulation of transfer matrix is adopted for stable performance. BEAVRS benchmark results demonstrate MC MPM for large practical eigenvalue problems. Abstract: The authors developed the modified power method (MPM) in previous publications to obtain multiple eigenmodes of an eigenvalue problem at the same time by employing a generalized eigenvalue problem (GEP) of the form ofWX = VXK . Special attention has been paid to the Monte Carlo (MC) implementation of the MPM because it always suffers from the inherent statistical noises. In this paper, a preconditioning method for the GEP has been developed for the MC MPM, so that the performance is more stable and robust to the MC statistical noises. This preconditioning method is crucial for MC solving of problems with degenerated eigenmodes, which requires the accumulation of a so-called transfer matrix and the division of the system space into multiple sub-regions, the number of sub-regions being greater than the number of eigenmodes to be solved. The preconditioning method solves the issues arising from the mismatch between the number of sub-regions and the target number of eigenmodes to be calculated. The numerical results for a model cube problem and BEAVRS whole core neutron transport eigenvalue problem successfully demonstrate the validity ofHighlights: A preconditioning method is developed for MC modified power method simulation. The preconditioning resolves the stability issue for practical application of MC MPM. The accumulation of transfer matrix is adopted for stable performance. BEAVRS benchmark results demonstrate MC MPM for large practical eigenvalue problems. Abstract: The authors developed the modified power method (MPM) in previous publications to obtain multiple eigenmodes of an eigenvalue problem at the same time by employing a generalized eigenvalue problem (GEP) of the form ofWX = VXK . Special attention has been paid to the Monte Carlo (MC) implementation of the MPM because it always suffers from the inherent statistical noises. In this paper, a preconditioning method for the GEP has been developed for the MC MPM, so that the performance is more stable and robust to the MC statistical noises. This preconditioning method is crucial for MC solving of problems with degenerated eigenmodes, which requires the accumulation of a so-called transfer matrix and the division of the system space into multiple sub-regions, the number of sub-regions being greater than the number of eigenmodes to be solved. The preconditioning method solves the issues arising from the mismatch between the number of sub-regions and the target number of eigenmodes to be calculated. The numerical results for a model cube problem and BEAVRS whole core neutron transport eigenvalue problem successfully demonstrate the validity of the preconditioning method and the extended applicability of the MC MPM for practical problems. … (more)
- Is Part Of:
- Annals of nuclear energy. Volume 127(2019)
- Journal:
- Annals of nuclear energy
- Issue:
- Volume 127(2019)
- Issue Display:
- Volume 127, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 127
- Issue:
- 2019
- Issue Sort Value:
- 2019-0127-2019-0000
- Page Start:
- 372
- Page End:
- 384
- Publication Date:
- 2019-05
- Subjects:
- Preconditioning -- Generalized eigenvalue problem -- Modified power method -- Monte Carlo
Nuclear energy -- Periodicals
Nuclear engineering -- Periodicals
621.4805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03064549 ↗
http://catalog.hathitrust.org/api/volumes/oclc/2243298.html ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.anucene.2018.12.023 ↗
- Languages:
- English
- ISSNs:
- 0306-4549
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1043.150000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10457.xml