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SPECTRAL MODELS BASED ON BOUSSINESQ EQUATIONS

机译:基于Boussinesq方程的光谱模型

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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:对于静止波场,光谱模型充分地表示表面波运动。然而,在使用非线性频谱模型中存在两个缺点:a)在模拟随机波场时所涉及的计算时间;所需的操作数是O(n2)(n是频率分量的数量)。 b)光谱模型通常是两方程时域模型的单方程还原,其不具有与原始模型的相同特性。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,2004),以加快计算并纳入更高阶非线性术语。其次,我们看频域变换而不将模型减少到一个方程。用混合FFT方法获得计算速度的显着改善。该模型还向Mase和Kirby(1992)报告的数据显示了良好的一致性。

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