Optimal Batch Size Growth for Wielandt Method and Superhistory Method-Reference-Cited by-同舟云学术

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Optimal Batch Size Growth for Wielandt Method and Superhistory Method

Published:2021-09-23 Issue:2 Volume:196 Page:183-192
ISSN:0029-5639
Container-title:Nuclear Science and Engineering
language:en
Short-container-title:Nuclear Science and Engineering

Author:

Pan Qingquan¹,Zhang Tengfei¹,Liu Xiaojing¹,Cai Yun²,Wang Lianjie²,Wang Kan³

Affiliation:

1. Shanghai Jiao Tong University, School of Nuclear Science and Engineering, Shanghai, 200240, China

2. Nuclear Power Institute of China, Science and Technology on Reactor System Design Technology Laboratory, Chengdu, 610200, China

3. Tsinghua University, Department of Engineering Physics, Beijing, 100084, China

Funder

Scientific and Innovative Action Plan of Shanghai

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295639.2021.1968223

Reference12 articles.

1. Asymptotic Wielandt Method and Superhistory Method for Source Convergence in Monte Carlo Criticality Calculation

2. Coarse mesh finite difference formulation for accelerated Monte Carlo eigenvalue calculation

3. Reliable Method for Fission Source Convergence of Monte Carlo Criticality Calculation with Wielandt's Method

4. Biases in the estimation of Keff and its error by Monte Carlo methods

5. Acceleration of fission source convergence in the Serpent 2 Monte Carlo code using a response matrix based solution for the initial source distribution

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