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An Efficient Preprocessing and Composition Based Finite-Time Lyapunov Exponent Visualization Algorithm for Unsteady Flow Field

机译:非平稳流场的高效预处理和基于有限时间Lyapunov指数可视化的算法

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Based on piecewise linear hypothesis that both the velocity and flow map gradient are constant in grid cell and adjacent time intervals, we design a time-slicing flow map preprocessing and composition based Finite-Time Lyapunov Exponent (FTLE) visualization algorithm for unsteady flow field. This algorithm is capable of reducing the computation overhead from duplicated flow map calculation and multiple spatiotemporal variable interpolation. The FTLE computation error and speedup ratios with different field size are obtained from the experiments performed on 2- and 3-dimensional unsteady flow fields. The results show that this algorithm could dramatically improve visualization efficiency and reduce execution time compared with FTLE visualization by 4th-order Runge-Kutta (RK4) based flow map and other related algorithms.
机译:基于分段线性假设,即速度和流图梯度在网格单元和相邻时间间隔中都是恒定的,我们针对非稳定流场设计了时分流图预处理和基于有限时间李雅普诺夫指数(FTLE)可视化算法的合成。该算法能够减少重复流图计算和多个时空变量插值的计算开销。从对二维和三维非定常流场进行的实验中获得了具有不同场大小的FTLE计算误差和加速比。结果表明,与基于4阶Runge-Kutta(RK4)的流图和其他相关算法相比,FTLE可视化相比,该算法可以显着提高可视化效率并减少执行时间。

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