• Title/Summary/Keyword: Rogue wave

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Experimental Study in Kinematics of Rogue Wave

  • Choi, Hae-Jin;Jung, Kwang-Hyo;Suh, Sung-Bu;Lee, Seung-Jae;Jo, Hyo-Jae;Choi, Han-Suk
    • Journal of Ocean Engineering and Technology
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    • v.25 no.3
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    • pp.11-18
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    • 2011
  • The rogue wave was generated in a two-dimensional wave tank the rogue wave kinematics was investigated including local and convective accelerations of the water particle and verification of existing prediction methods. PIV technique was applied to measure the wave kinematics near the wave crest which extended to compute the local and convective accelerations. The experimental results were compared with several analytical predictions. The convective acceleration under the crest of rogue wave has a similar magnitude with the local acceleration.

Operation of ULCS - real life

  • Prpic-Orsic, Jasna;Parunov, Josko;Sikic, Igor
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.6 no.4
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    • pp.1014-1023
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    • 2014
  • In this paper the real life operation of ULCS (Ultra Large Container Ships) is presented from the point of view of shipmasters. The paper provides interpretation of results of questionnaire filled by masters of large container ships during Tools for Ultra Large Container Ships (TULC) EUI FP7 project. This is done in a way that results of questionnaire are further reviewed and commented by experienced master of ULCS. Following phenomena are subject of questionnaire and further discussed in the paper: parametric rolling, slamming, whipping, springing, green water and rogue waves. Special attention is given to the definition of rough sea states as well as to measures that ship masters take to avoid them as well as to the manoeuvring in heavy seas. The role of the wave forecast and weather routing software is also discussed.

Numerical and experimental analysis of a wave energy converter in extreme waves

  • Ignacio P. Johannesen;Jose M. Ahumada;Gonzalo Tampier;Laura Gruter;Cristian Cifuentes
    • Ocean Systems Engineering
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    • v.13 no.3
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    • pp.225-245
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    • 2023
  • In the present paper, a numerical and experimental analysis for a wave energy converter under extreme environmental conditions is carried out. After the definition of design waves, including a 100-year return period stochastic sea state and a deterministic rogue wave condition, a numerical analysis using potential theory and a RANS equations solver are compared with experiments carried out at the Seakeeping Basin at the Technical University of Berlin. Results are discussed with special emphasis on the limits of potential theory methods for the evaluation of extreme wave conditions and the use of the presented methodology for early design stages.

On the Statistical Characteristics of Freak Wave Occurrence (Freak Wave 발생의 통계적 특성에 대하여)

  • Kim, Do-Young
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.14 no.2
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    • pp.138-145
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    • 2011
  • In this paper time series wave data are simulated by the Monte Calo method using random numbers to generate random phases of the wave signal. The simulated wave signasl are used to study the characteristics of freak waves. Various sea states are represented by combinations of the significant wave height $H_s$ defined in the spectrum method and the significant wave steepness $S_s$. For a fixed value of $S_s$, the probability of the occurrence of the freak wave is decreased as $H_s$ increases. For a fixed value of $H_s$ the probability of the occurrence of the freak wave increases as $S_s$ increases. The average value of the maximum wave height increase as $S_s$ increases, but the average height of freak wave remains the same and the value approaches two times of $H_s$. For the fixed value of $S_s$, average kurtosis of wave elevation increases as $H_s$ increases, but for a fixed $H_s$, the average kurtosis decreases as $S_s$ increases. The average of abnormality index(AI) is around 2.11 irregardless of $H_s$ and $S_s$. The maximum value of AI lies between 2.5 - 3.0. Therefore it is conjectured that AI maximum due to linear focusing is 3.0.