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SPECTRAL MODELS BASED ON BOUSSINESQ EQUATIONS

机译:基于BOUSSINESQ方程的谱模型

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For a stationary wave field, spectral models represent the surface wave motion sufficiently accurately. There are however two drawbacks in using nonlinear spectral models: a) The computational time involved when simulating the random wave field; the number of operations needed is O(N2) (N is the number of frequency components). B) Spectral models are usually one-equation reduction of the two-equation time domain model, which does not then have the same characteristics of the original model. Here we explore two approaches to solve these problems. First, we use the hybrid FFT technique (Bredmose et al. 2004) both to speed up the calculations and to incorporate higher order nonlinear terms. Second, we look at frequency domain transformation without reducing the model to one equation. Significant improvement in computational speed was obtained with the hybrid FFT approach. The models also show good agreement to the data reported by Mase and Kirby (1992).
机译:对于固定波场,光谱模型足够准确地表示表面波运动。但是,使用非线性频谱模型有两个缺点:a)模拟随机波场时涉及的计算时间;所需的运算数为O(N2)(N为频率分量的数)。 B)频谱模型通常是两方程时域模型的一方程简化,因此与原始模型没有相同的特征。在这里,我们探索解决这些问题的两种方法。首先,我们使用混合FFT技术(Bredmose等人,2004年)既加快了计算速度,又结合了高阶非线性项。其次,我们在不将模型简化为一个方程式的情况下研究频域变换。使用混合FFT方法可显着提高计算速度。这些模型也与Mase和Kirby(1992)报告的数据显示出很好的一致性。

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