Published October 1987 | Version v1
Journal article Metadata-only

Optimization of advanced gas-cooled reactor fuel performance by a stochastic method

Creators

  • 1. Cambridge Univ. (UK). Dept. of Engineering

Description

A brief description is presented of a model representing the in-core behaviour of a single advanced gas-cooled reactor fuel channel, developed specifically for optimization studies. The performances of the only suitable Numerical Algorithms Group (NAG) library package and a Metropolis algorithm routine on this problem are discussed and contrasted. It is concluded that, for the problem in question, the stochastic Metropolis algorithm has distinct advantages over the deterministic NAG routine. (author)

Additional details

Publishing Information

Journal Title
Nucl. Energy
Journal Volume
26
Journal Issue
5
Series
Nucl. Energy.
Journal Page Range
319-327
ISSN
0140-4067
CODEN
NUEGA

INIS

Country of Publication
United Kingdom
Country of Input or Organization
United Kingdom
INIS RN
19028849
Subject category
S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
Descriptors DEI
AGR TYPE REACTORS; ALGORITHMS; FUEL ELEMENTS; FUEL MANAGEMENT; MATHEMATICAL MODELS; PERFORMANCE
Descriptors DEC
ENRICHED URANIUM REACTORS; GAS COOLED REACTORS; GRAPHITE MODERATED REACTORS; MANAGEMENT; NUCLEAR MATERIALS MANAGEMENT; REACTOR COMPONENTS; REACTORS