基于约束的连续布勃诺夫-加勒金等距分析的能量依赖性自适应网格 h(p)- 细化采用双加权残余误差测量法对多组中子扩散方程进行空间离散化处理

IF 0.7 4区工程技术 Q3 MATHEMATICS, APPLIED

Journal of Computational and Theoretical Transport Pub Date : 2024-03-09 DOI:10.1080/23324309.2024.2313460

S. G. Wilson, M. D. Eaton, J. Kópházi

引用次数: 0

摘要

针对多组中子扩散方程的连续布勃诺夫-加勒金空间离散，采用基于 NURBS 的等距网格法，开发了依赖能量的自适应网格细化算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Energy-Dependent, Self-Adaptive Mesh h(p)-Refinement of a Constraint-Based Continuous Bubnov-Galerkin Isogeometric Analysis Spatial Discretization of the Multi-Group Neutron Diffusion Equation with Dual-Weighted Residual Error Measures

Energy-dependent self-adaptive mesh refinement algorithms are developed for a continuous Bubnov-Galerkin spatial discretization of the multi-group neutron diffusion equation using NURBS-based isoge...

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来源期刊

Journal of Computational and Theoretical Transport Mathematics-Mathematical Physics

CiteScore

1.30

自引率

0.00%

发文量

期刊介绍： Emphasizing computational methods and theoretical studies, this unique journal invites articles on neutral-particle transport, kinetic theory, radiative transfer, charged-particle transport, and macroscopic transport phenomena. In addition, the journal encourages articles on uncertainty quantification related to these fields. Offering a range of information and research methodologies unavailable elsewhere, Journal of Computational and Theoretical Transport brings together closely related mathematical concepts and techniques to encourage a productive, interdisciplinary exchange of ideas.

基于约束的连续布勃诺夫-加勒金等距分析的能量依赖性自适应网格 h(p)- 细化 采用双加权残余误差测量法对多组中子扩散方程进行空间离散化处理

摘要

基于约束的连续布勃诺夫-加勒金等距分析的能量依赖性自适应网格 h(p)- 细化采用双加权残余误差测量法对多组中子扩散方程进行空间离散化处理