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)
Part of:
Proceedings of the international conference on physics of reactors - Physor 2022

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.