Home Journals Articles Updates About
CN
image
收藏切换
Researches on statistical properties of freak waves in uni-directional random waves in deep water
收藏切换
PDF
Ruili Fu1, Yuxiang Ma1, *, Guohai Dong1
Haiyang Xuebao | 2021, 43(10) : 81 - 89
Less
收藏切换
Haiyang Xuebao | 2021, 43(10): 81-89
• Article •
Researches on statistical properties of freak waves in uni-directional random waves in deep water
Full
Ruili Fu1, Yuxiang Ma1, *, Guohai Dong1
Affiliations
  • 1State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China
Published: 2021-10-25 doi: 10.12284/hyxb2021159
Outline
收藏切换

Numerous random wave trains are simulated based on the JONSWAP spectrum using the Longuet-Higgins wave model, and then extreme waves are investigated based on the wave trains with stable probabilities of freak waves. The probabilities of freak waves are smaller than those of based on Rayleigh distributions. With the spectra narrower, the probability of freak waves increases. During the fixed times, the frequency of freak waves obeys the Poisson distribution and time intervals satisfy exponential distribution. The most probable occurrence frequency of freak waves decrease and intervals of freak waves are longer with the spectra wider. Wave groups are discriminated based on wavelet spectra and their characteristics are analyzed. There are no more than four freak waves in wave groups. The probability of wave groups containing merely one freak wave is the largest. Numbers of freak waves in wave groups are increasing with the spectral narrower. Furthermore, time lengths of wave groups containing freak waves satisfy Generalized extreme value distribution (GEV distribution), and with spectra narrower, the most probable lengths of the wave groups increase.

freak waves  /  wave groups  /  wave models
Ruili Fu, Yuxiang Ma, Guohai Dong. Researches on statistical properties of freak waves in uni-directional random waves in deep water[J]. Haiyang Xuebao, 2021 , 43 (10) : 81 -89 . DOI: 10.12284/hyxb2021159
Appendix
Less
Year 2021 volume 43 Issue 10
PDF
103
40
Cite this Article
BibTeX
Article Info
doi: 10.12284/hyxb2021159
  • Receive Date：2020-07-28
  • Online Date：2026-02-26
  • Published：2021-10-25
Article Data
Affiliations
History
  • Received：2020-07-28
  • Revised：2020-10-29
Funding
Affiliations
    1State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China
References
Share
https://castjournals.cast.org.cn/joweb/hyxb/EN/10.12284/hyxb2021159
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House