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Visualization of Adaptive Mesh Refinement Data

机译:可视化自适应网格细化数据

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摘要

The complexity of physical phenomena often varies substantially over space and time. There can be regions where a physical phenomenon/quantity varies very little over a large extent. At the same time, there can be small regions where the same quantity exhibits highly complex variations. Adaptive mesh refinement (AMR) is a technique used in computational fluid dynamics (CFD) to simulate phenomena with drastically varying scales concerning the complexity of the simulated variables. Using multiple nested grids of different resolutions, AMR combines the topological simplicity of structured-rectilinear grids, permitting efficient computation and storage, with the possibility to adapt grid resolutions in regions of complex behavior. We present methods for direct volume rendering of AMR data. Our methods utilize AMR grids directly for efficiency of the visualization process. We apply a hardware-accelerated rendering method to AMR data supporting interactive manipulation of color-transfer functions and viewing parameters. We also present a cell-projection-based rendering technique for AMR data.
机译:物理现象的复杂性通常在空间和时间内大幅变化。在很大程度上,物理现象/数量的物理现象/数量可能很差。同时,可以有小区域,其中相同的数量表现出高度复杂的变化。自适应网格细化(AMR)是在计算流体动力学(CFD)中使用的技术,用于模拟有关模拟变量的复杂性的巨大变化的尺度的现象。使用不同分辨率的多个嵌套网格,AMR结合了结构化直线电网的拓扑简单性,允许有效的计算和存储,可以在复杂行为的区域中适应网格分辨率。我们提出了用于直接卷的AMR数据的方法。我们的方法使用AMR网格直接用于可视化过程的效率。我们将硬件加速渲染方法应用于支持颜色传输函数的交互式操作和查看参数的AMR数据。我们还提供了一种用于AMR数据的小区投影的渲染技术。

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