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首页> 外文期刊>Numerical Heat Transfer, Part B. Fundamentals: An International Journal of Computation and Methodology >Proper orthogonal decomposition for time-dependent lid-driven cavity flows
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Proper orthogonal decomposition for time-dependent lid-driven cavity flows

机译:随时间变化的盖驱动腔流的正确正交分解

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Proper orthogonal decomposition (POD) is employed to study a time-dependent lid-driven cavity flow. Ensembles of data are compiled from transient solutions computed with different grids and Reynolds numbers. The POD bases are used to reconstruct the constituents of the ensemble. Error measures are used to evaluate the effectiveness of the method. The geometric locations of major errors and their dependency on Reynolds number are also investigated. The POD technique proves capable of capturing more than 99.7% of the kinetic energy, using the first three eigenmodes. The errors were found to be uniformly bounded, which validates the theory derived. [References: 22]
机译:适当的正交分解(POD)用于研究与时间有关的盖驱动腔流动。数据集合是根据使用不同网格和雷诺数计算的瞬态解进行编译的。 POD基础用于重建集合的组成部分。错误度量用于评估该方法的有效性。还研究了主要误差的几何位置及其对雷诺数的依赖性。 POD技术被证明能够使用前三个本征模式捕获超过99.7%的动能。发现误差是有界的,这验证了所推导的理论。 [参考:22]

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