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Simulation of stationary wind field based on adaptive interpolation-enhanced scheme

机译:基于自适应插值增强方案的固定风场仿真

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摘要

The spectral representation method (SRM) is extensively used for the simulation of stationary wind field due to its well-developed theory and expediency. In this method, the decomposition of cross power spectral density (XPSD) matrix is generally time-consuming. To improve its efficiency, the interpolation-enhanced scheme (IES) has been developed. Nonetheless, the determination of interpolation points is burdensome and also lacks enough adaptivity. In this study, an adaptive IES (AIES) is proposed to facilitate the selection of interpolation points, by which an AIES-based simulation method for stationary wind field is proposed. Numerical examples are employed to demonstrate the accuracy and efficiency of the proposed method. Results show that this method not only has satisfactory accuracy, but also can improve the simulation efficiency of the IES-based simulation method. This efficiency advantage may be negligible in the case of simulating the sample with full period. However, it tends to be obvious when it comes to simulating the sample with partial period. With increasing number of simulation points, this advantage will be more and more significant.
机译:由于其发达的理论和权宜之计,光谱表示方法(SRM)广泛用于静止风场的模拟。在该方法中,交叉功率谱密度(XPSD)矩阵的分解通常是耗时的。为提高其效率,开发了内插增强方案(IE)。尽管如此,内插点的测定是繁重的,并且也缺乏足够的适应性。在本研究中,提出了一种自适应IES(AIE)以便于选择内插点,通过该插值点的选择,提出了一种基于静止风场的仿真模拟方法。采用数值示例来证明所提出的方法的准确性和效率。结果表明,该方法不仅具有令人满意的精度,还可以提高基于IES的仿真方法的仿真效率。在用全周期模拟样品的情况下,这种效率优势可能可以忽略不计。然而,在模拟局部周期的样本方面往往是显而易见的。随着仿真点的越来越多,这种优势将越来越重要。

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