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APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - Reduced-order prediction of rogue waves in two-dimensional deep-water waves

机译:APS-000次会议的流体动力学的APS分工 - 事件 - 二维深水波中的流氓波的下降阶预测

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We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the action of localized nonlinear wave interactions that leads to focusing. Instead of a direct simulation approach, we rely on the decomposition of the wave field into a discrete set of localized wave groups with optimal length scales and amplitudes. Due to the short-term character of the prediction, these wave groups do not interact and therefore their dynamics can be characterized individually. Using direct numerical simulations of the governing envelope equations we precompute the expected maximum elevation for each of those wave groups. The combination of the wave field decomposition algorithm, which provides information about the statistics of the system, and the precomputed map for the expected wave group elevation, which encodes dynamical information, allows (i) for understanding of how the probability of occurrence of rogue waves changes as the spectrum parameters vary, (ii) the computation of a critical length scale characterizing wave groups with high probability of evolving to rogue waves, and (iii) the formulation of a robust and parsimonious reduced-order prediction scheme for large waves.
机译:我们考虑二维水波中大波预测的问题。由于较小波组的分散混合的协同效应和导致聚焦的局部非线性波相互作用的分散混合的协同效应,因此这种波形形成。而不是直接仿真方法,我们依靠波场的分解成具有最佳长度尺度和幅度的离散局部波组。由于预测的短期特征,这些波组不相互作用,因此它们的动态可以单独表征。使用控制包络方程的直接数值模拟,我们将预期的每个波组的预期最大高度预计。波场分解算法的组合提供了关于系统统计信息的信息,以及对动态信息进行编码的预期波组高度的预先计算的地图,允许(i)理解流氓波发生的概率如何随着频谱参数变化的变化,(ii)(ii)计算具有高概率的临界长度表征波组,其具有发展到流氓波的高概率,(iii)为大波形的稳健和解析的减少预测方案的制定。

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