Detection of surf-riding behavior of ships in irregular seas

Detection of surf-riding behavior of ships in irregular seas
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DOI:
10.1007/s11071-014-1466-2
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发表时间:
2014-06
期刊:
影响因子:
5.6
通讯作者:
K. Spyrou;V. Belenky;N. Themelis;K. Weems
K. Spyrou;V. Belenky;N. Themelis;K. Weems
中科院分区:
工程技术2区
文献类型:
--
作者:
K. Spyrou;V. Belenky;N. Themelis;K. Weems

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From investigations with ship models tested in steep periodic following waves, it has been conjectured in the past that, if the speed is observed reaching (in transient) the celerity value, attraction toward the condition commonly identified as “surf-riding” is already in progress. The nonlinear dynamics of this phenomenon has been investigated in depth also theoretically; however, it is unknown whether the stated simple phenomenological detection rule is meaningful also for more natural sea wave profiles. A practical question that prompted the current investigation is whether the duration of attraction to surf-riding could be properly quantified as a percentage of the total time of exposure to a specified wave environment, so that a probability of surf-riding could be eventually calculated. Celerity is defined in the current work as the velocity of propagation of a suitable local property of the wave profile, such as a certain value of slope. For irregular seas, this leads to the concept of instantaneous celerity. Unfortunately, instantaneous celerity, in general, is not a smooth and bounded curve in time. An alternative definition of celerity fitting to the problem of surf-riding is thus investigated, where the propagated points of the profiles are those with the locally maximum slope. Simultaneous treatment of the “wave” and “ship” processes is implemented, and the potential of a condition based on local celerity for surf-riding prediction is examined. Various patterns of behavior before and into surf-riding are observed and discussed. The paper is a step in the direction of developing a probabilistic method of assessment for the dangerous phenomenon of surf-riding and indirectly, for the evaluation of the class of cross-disciplinary phenomena that obey similar nonlinear dynamics.