Application of global optimization to VVER-1000 reactor diagnostics

被引：3
|
作者：
Kinelev, VG [1 ]
Shkapov, PM [1 ]
Sulimov, VD [1 ]
机构：
[1] Bauman Moscow State Tech Univ, Moscow 107005, Russia
来源：
PROGRESS IN NUCLEAR ENERGY | 2003年 / 43卷 / 1-4期
关键词：
reactor equipment diagnostics; inverse eigenvalue problem; incomplete spectral data; global optimization; finite-element models;
D O I：
10.1016/S0149-1970(03)00010-6
中图分类号：
TL [原子能技术]; O571 [原子核物理学];
学科分类号：
0827 ; 082701 ;
摘要：
Problems of reactor equipment diagnostics are formulated as inverse eigenvalue problems. Numerical methods of solving the inverse problems are presented. Incompleteness of spectral data results in the error function being non-convex. As the function has numerous local minima, it is necessary to use global optimization methods. Two different strategies are discussed: the modified TRUST algorithm and the algorithm that reduces the original problem to a one-dimensional form. The outcome algorithm that combines the strategies is proposed. Results of computational experiments are presented to illustrate the efficiency of the approach. (C) 2003 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：51 / 56
页数：6
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