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首页> 外文期刊>Jorunal of computational and theoretical transport >Goal-Based Error Estimation, Functional Correction, h, p and hp Adaptivity of the 1-D Diamond Difference Discrete Ordinate Method
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Goal-Based Error Estimation, Functional Correction, h, p and hp Adaptivity of the 1-D Diamond Difference Discrete Ordinate Method

机译:基于目标的误差估计,功能校正,H,H,P和HP适应性为1-D菱形差异离散纵坐标方法

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摘要

This paper uses local dual weighted residual (DWR) error indicators to flag cells for goal-based refinement in a 1-D diamond difference (DD) discretisation of the discrete ordinate (S-N) neutron transport equations. Goal-orientated adaptive mesh refinement (GO-AMR) aims to produce a mesh that is optimal for a given goal or Qol (Quantity of Interest), h, p and hp refinement is implemented and applied to various test cases. A merit function is derived for the combined hp algorithm and is calculated for each refinement option within each flagged cell. The refinement option with the highest merit function is chosen for a given flagged cell. This paper also investigates the use of the DWR error estimation as a correction term for the originally calculated Qol. If error correction and GO-AMR are combined the DWR error indicators do not always give an optimal mesh for the corrected value of the Qol. Therefore, refinement indicators based on the error in the error correction term are used and tested in this work.
机译:本文使用局部双重加权残差(DWR)误差指示器在离散纵坐标(S-N)中子传输方程的1-D菱形差(DD)离散体中的基于目标的基础上的标记单元。面向目标的自适应网格细化(GO-AMR)旨在产生对给定目标或QOL(兴趣数量),H,P和HP细化的网格,对各种测试用例进行了最佳的网格。派生函数是针对组合HP算法导出的,并且在每个标记的单元格中计算每个细化选项。为给定标记的单元格选择具有最高优势函数的细化选项。本文还调查了DWR误差估计作为最初计算的QOL的校正项。如果纠错和Go-AMR组合,DWR错误指示器并不总是为QOL的校正值提供最佳网格。因此,在此工作中使用并测试基于纠错项中的错误的细化指示符。

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