Superhistory-based differential operator method for generalized responses sensitivity calculations

被引：7

作者：

Shi, Guanlin ^{[1
]}

Yu, Ganglin ^{[1
]}

Jia, Conglong ^{[1
]}

Wang, Kan ^{[1
]}

Huang, Shanfang ^{[1
]}

Cheng, Quan ^{[1
]}

Li, Hao ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China

来源：

ANNALS OF NUCLEAR ENERGY | 2020年 / 140卷

基金：

中国国家自然科学基金;

关键词：

Monte Carlo; Sensitivity coefficients; Differential operator method; RMC; MONTE-CARLO; ANALYSIS CAPABILITIES; WIELANDT METHOD; NUCLEAR-DATA; PERTURBATION;

D O I：

10.1016/j.anucene.2019.107291

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：

The differential operator method (DOM) has been developed to perform sensitivity analyses of generalized responses in the form of reaction rate ratios. In this method, the memory consumption required to store the source perturbation effect will become prohibitively large with a large number of particle histories. This work introduces the superhistory-based differential operator method (SH-DOM) to reduce the memory usage. In the superhistory algorithm, the source perturbation effect is estimated by following the source particle and its progenies over super-generations within a single particle history, which significantly reduces the memory usage. The new method is verified via the Jezebel, Flattop and the UAM TMI PWR pin cell benchmark problems calculated by the collision history-based method and the SH-DOM. Results show that the energy integrated sensitivity coefficients given by the present method agree within 5% with those of the collision history-based method and the SH-DOM can effectively reduce the memory consumption. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页数：10

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