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Comparison of refinement criteria for structured adaptive mesh refinement

机译:结构化自适应网格细化的细化标准比较

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We have investigated and analyzed the grid convergence issues for an adaptive mesh refinement (AMR) code. We have found that the numerical results for the AMR grid may have a larger error than those for the unrefined uniform grid. After a detailed analysis, we have found that the numerical solution at the coarse-fine interface between different levels of the grid converges only in the first-order accuracy. Therefore, the error near the coarse-fine interface can quickly dominate the error in the other regions if the coarse-fine interface is active and not covered by the fine grid. We propose, implement, and compare several refinement criteria. Some of them can catch the large-error region near the coarse-fine interface and refine them with the fine grid. Published by Elsevier B.V.
机译:我们已经研究并分析了自适应网格细化(AMR)代码的网格收敛问题。我们已经发现,AMR网格的数值结果可能比未精炼的均匀网格的数值结果具有更大的误差。经过详细的分析,我们发现在网格的不同层之间的粗-细界面处的数值解仅以一阶精度收敛。因此,如果粗细界面处于活动状态并且未被细网格覆盖,则粗细界面附近的错误会很快主导其他区域中的错误。我们提出,实施和比较几种改进标准。它们中的一些可以捕获粗细界面附近的大误差区域,并使用细网格对其进行细化。由Elsevier B.V.发布

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