Published 2022
| Version v1
Book
Variable dynamic mode decomposition for estimating time eigenvalues in nuclear systems
- 1. Department of Aerospace and Mechanical Engineering, University Notre Dame, Notre Dame, IN (United States)
Description
An extension to the Dynamic Mode Decomposition (DMD) method for calculating time eigenvalues (also known as alpha eigenvalues) that removes the requirement of a constant time step is derived and demonstrated. The new method, called variable-dynamic mode decomposition (V-DMD), is shown to be accurate when computing eigenvalues for systems that were infeasible with DMD due to a large separation in time scales. The alpha eigenvalues of an infinite medium neutron transport problem with delayed neutrons and consequently having multiple, very different relevant time scales are computed. Furthermore, V-DMD is shown to be of similar accuracy to the original DMD approach when computing eigenvalues in other systems where DMD can be used. (authors)
Availability note (English)
Available from the American Nuclear Society, 555 North Kensington Avenue, La Grange Park, Illinois 60526 (US)Additional details
Publishing Information
- Publisher
- ANS - American Nuclear Society
- Imprint Place
- La Grange Park (United States)
- ISBN
- 978-0-89448-787-3
- Imprint Title
- Proceedings of the international conference on physics of reactors - Physor 2022
- Imprint Pagination
- 3701 p.
- Journal Page Range
- p. 882-889
Conference
- Title
- International conference on physics of reactors
- Acronym
- PHYSOR 2022
- Dates
- 15-20 May 2022
- Place
- Pittsburg (United States)
INIS
- Country of Publication
- United States
- Country of Input or Organization
- France
- INIS RN
- 53097007
- Subject category
- S22: GENERAL STUDIES OF NUCLEAR REACTORS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CALCULATION METHODS; EIGENVALUES; REACTOR KINETICS EQUATIONS; VALIDATION
- Descriptors DEC
- EQUATIONS; TESTING
Optional Information
- Notes
- 12 refs.