Published December 2017 | Version v1
Journal article

On the comparison of two split-step methods for the numerical simulation of stochastic point kinetics equations in presence of Newtonian temperature feedback effects

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.2017.08.001

Additional 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.