Analysis of Bore Characteristics Using KdV-Based Nonlinear Fourier Transform

M. Bruehl, S. Wahls, I. B. Granged, P. Liu
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Abstract

Bores propagating in shallow water transform into undular bores and, finally, into trains of solitons. The observed number and height of these undulations, and later discrete solitons, is strongly dependent on the propagation length of the bore. Empirical results show that the final height of the leading soliton in the far-field is twice the initial mean bore height. The complete disintegration of the initial bore into a train of solitons requires very long propagation lengths, but unfortunately these required distances are usually not available in experimental tests or nature. Therefore, the analysis of the bore decomposition for experimental data into solitons is difficult and requires further approaches. Previous studies have shown that by application of the nonlinear Fourier transform based on the Korteweg–de Vries equation (KdV-NFT) to bores and long-period waves propagating in constant depth, the number and height of all solitons can be reliably predicted already based on the initial bore-shaped free surface. Against this background, this study presents the systematic analysis of the leading-soliton amplitudes for non-breaking and breaking bores with different strengths in different water depths in order to validate the KdV-NFT results for non-breaking bores, and to show the limitations of wave breaking on the spectral results. The analytical results are compared with data from experimental tests, numerical simulations and other approaches from literature.
基于kdv的非线性傅里叶变换的膛特性分析
在浅水中传播的孔转变成波浪形孔,最后变成孤子串。观测到的这些波动的数量和高度,以及后来的离散孤子,强烈地依赖于孔的传播长度。实验结果表明,远场先导孤子的最终高度是初始平均孔径高度的两倍。将初始波孔完全分解成一串孤子需要很长的传播长度,但不幸的是,这些所需的距离通常在实验测试或自然界中是无法获得的。因此,将实验数据分解成孤子的分析是困难的,需要进一步的研究。以往的研究表明,将基于Korteweg-de Vries方程(KdV-NFT)的非线性傅里叶变换应用于井眼和在恒定深度传播的长周期波,已经可以基于初始井眼形自由表面可靠地预测所有孤子的数量和高度。在此背景下,为了验证非破波井的KdV-NFT结果,并揭示破波对频谱结果的局限性,本文对不同水深下不同强度的非破波井和破波井的导波孤子振幅进行了系统分析。分析结果与实验测试、数值模拟和文献中其他方法的数据进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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