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Lagrangian-Eulerian advection for unsteady flow visualization

机译:拉格朗日 - Eulerian Firsion for Foready Flow Visual化

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In this paper, we propose a new technique to visualize dense representations of time-dependent vector fields based on a Lagrangian-Eulerian Advection (LEA) scheme. The algorithm produces animations with high spatio-temporal correlation at interactive rates. With this technique, every still frame depicts the instantaneous structure of the flow, whereas an animated sequence of frames reveals the motion a dense collection of particles would take when released into the flow. The simplicity of both the resulting data structures and the implementation suggest that LEA could become a useful component of any scientific visualization toolkit concerned with the display of unsteady flows.
机译:在本文中,我们提出了一种基于拉格朗日 - 欧拉平流(LEA)方案来了解可视化时间依赖传感器场的密集表示的新技术。该算法在交互式速率下产生具有高时空相关性的动画。利用这种技术,每个静止框架都描绘了流动的瞬时结构,而动画的框架序列揭示了当释放到流入流入流中时致密的颗粒集合。由此产生的数据结构和实现的简单性表明,LEA可能成为任何科学可视化工具包的有用组成部分,与不稳定流的显示有关。

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