On the comparison of two split-step methods for the numerical simulation of stochastic point kinetics equations in presence of Newtonian temperature feedback effects
Creators
Description
Highlights: •Comparative study between two numerical approximation methods. •Split-step forward Euler-Maruyama method and derivative-free Milstein method. •Stochastic point reactor kinetics equations have been solved. •Split-step approximations are straightforward and effective methods. -- Abstract: In this article, a comparative study between two numerical approximation methods viz., split-step forward Euler-Maruyama method and derivative-free Milstein method have been established. The stochastic point reactor kinetics equations consist of a system of stiff nonlinear differential equations. This system has been solved for step and ramp external reactivity using split-step forward Euler-Maruyama method and derivative-free Milstein method. The obtained numerical results show that the split-step approximations are straightforward and effective methods in studying the behavior of neutron density of the stochastic point reactor kinetics equations which also have been represented graphically.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.anucene.2017.08.001Additional details
Identifiers
- DOI
- 10.1016/j.anucene.2017.08.001;
- PII
- S0306-4549(17)30224-4;
Publishing Information
- Journal Title
- Annals of Nuclear Energy (Oxford)
- Journal Volume
- 110
- Journal Issue
- Complete
- Journal Page Range
- p. 865-873
- ISSN
- 0306-4549
- CODEN
- ANENDJ
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49045471
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- APPROXIMATIONS; COMPUTERIZED SIMULATION; DIFFERENTIAL EQUATIONS; NONLINEAR PROBLEMS; STOCHASTIC PROCESSES
- Descriptors DEC
- CALCULATION METHODS; EQUATIONS; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.