| 摘要: |
| 首次将列率谱分析的方法引入到随机海浪的研究。根据不同环境条件下实验室资料,对列率谱与频率谱进行了比较。结果表明,列率频对频率谱高频部分有明显改善,特别对二倍频含能段的分辨具有明显的优越性。另外,列率谱具有计算速度快、简单易行、分辨率高等优点。 |
| 关键词: 非线性随机海浪 列率谱 频率谱 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金资助项目49776285号 ;山东省教委资助项目 |
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| STUDY OF SEQUENCY SPECTRAL ANALYSIS OF RANDOM SEA WAVES |
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SUN Fu1, ZHANG Shu-Wen2,3
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1.Physical Oceanography Laboratory, University of Qingdao, Qingdao, 266003;2.Qingdao University, Qingdao, 266071;3.Key laboratory of Marine Environment Science and Modelling, State Ocean Ad ministration, Qingdao, 266061
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| Abstract: |
| Up to now, a large number of sea wave spectra, especially the wind generated sea wave spectra, have been obtained. Several were derived form the observed wave factors based upon some assumptions, but most were obtained though the correlation function by means of the discrete Fourier transform using wave records. The latter, as the main method to obtain the sea wave spectrum, does well in describing the main part of the spectral energy, whereas some drawbacks exist when dealing with nonlinear random sea wave. In our study, the sequency spectral method for nonlinear random wave is introduced to describe the high frequency nonlinear effect.
Experiment was conducted in the wind-wave fume laboratory of Ocean University of Qingdao. Using two kinds of different wind speeds and two fetches in the wind-wave experiment, and a kind of wave essential factor, a group of slope and an array of wave gauge were also used in the bottom slope experimental arrangement.
Calculated frequency spectra are compared with the sequency spectra to the basis of different observation data sets. The difference between these two spectra is less significant over the band of the predominant wave energy, but rather significant within higher frequencies, especially near the twice peak frequency. Furthermore, compared with frequency spectral analysis, the sequency spectrum method has many advantages including faster calculating speed, convenient use and high distinguishability. |
| Key words: Nonlinear random sea wave, Sequency spectra, Frequency spectra |
