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A New Grid Structure for Domain Extension

机译:用于域扩展的新网格结构

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摘要

We present an efficient grid structure that extends a uniform grid to create a significantly larger far-field grid by dynamically extending the cells surrounding a fine uniform grid while still maintaining fine resolution about the regions of interest. The far-field grid preserves almost every computational advantage of uniform grids including cache coherency, regular subdivisions for parallelization, simple data layout, the existence of efficient numerical discretizations and algorithms for solving partial differential equations, etc. This allows fluid simulations to cover large domains that are often infeasible to enclose with sufficient resolution using a uniform grid, while still effectively capturing fine scale details in regions of interest using dynamic adaptivity.
机译:我们提出了一种有效的网格结构,该结构通过动态扩展围绕精细均匀网格的单元,同时仍然围绕目标区域保持高分辨率,扩展了均匀网格以创建明显更大的远场网格。远场网格保留了几乎所有统一网格的计算优势,包括缓存一致性,用于并行化的常规细分,简单的数据布局,有效的数值离散化和用于求解偏微分方程的算法等。这使流体模拟能够覆盖大范围通常无法使用均匀的网格将它们包围起来,而仍然可以使用动态适应性有效地捕获感兴趣区域中的精细比例细节。

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