Improved prediction of the threshold of surf-riding of a ship in steep following seas

2010 ◽  
Vol 37 (13) ◽  
pp. 1103-1110 ◽  
Author(s):  
Wan Wu ◽  
Kostas J. Spyrou ◽  
Leigh S. McCue
Keyword(s):  
1987 ◽  
Vol 1987 (162) ◽  
pp. 152-162 ◽  
Author(s):  
Makoto Kan ◽  
Toshihiko Saruta ◽  
Mikio Yasuno ◽  
Yasuyuki Yamakoshi ◽  
Shiro Suzuki

Author(s):  
Liwei Yu ◽  
Ning Ma ◽  
Sheming Fan ◽  
Peiyuan Feng ◽  
Xiechong Gu

Model experiments and numerical simulations on the surf-riding and broaching in following seas of a 42.5m long purse seiner are conducted. Firstly, the free running model experiments with various ship speeds and wave heights are performed in the towing tank to reproduce the phenomena of surf-riding and broaching. Then, the 6-DOF weakly nonlinear unified model is applied to simulate the motions of the purse seiner with the same cases as the model experiments. Through the comparison between results of model test and numerical simulation, the occurrence conditions of periodic motion, surf-riding and broaching are roughly determined. Finally, it is found that although it is difficult for the numerical simulations to get the same time histories as model tests, the modes of motion (periodic motion, surf-riding or broaching) obtained from the numerical simulations agree well qualitatively and quantitatively in part with the model test results.


Author(s):  
Ioannis Kontolefas ◽  
Kostas J. Spyrou

A clustering scheme has been applied for capturing qualitatively different surge motion patterns in the phase space. The scheme enables the identification of “high-run” incidents as soon as such motions are triggered and while their phenomenology has not yet been well developed. A “high run” is a surf-riding–like behavior, appearing in irregular following seas. The concept of finite-time coherent sets is exploited for deriving estimates of the probability of high-runs. The method is verified by identifying independently the corresponding hyperbolic Lagrangian coherent structures; then, consistency is sought between the two approaches. An important feature of the method is that it does not rely on the use of some empirical criterion for the high-run threshold, such as one based on the exceedance of an arbitrary high-speed level. Despite its computational burden, the proposed scheme offers “objective” statistical information on a ship’s high-run tendency that can be used for benchmarking simpler (approximative) probability calculation schemes.


Author(s):  
Ioannis Kontolefas ◽  
Kostas J. Spyrou

A clustering scheme has been applied for capturing qualitatively different surge motion patterns in the phase space. The scheme enables the identification of “high-run” incidents as soon as such motions are triggered and while their phenomenology has not yet been well developed. A “high run” is a surf-riding–like behavior, appearing in irregular following seas. The concept of finite-time coherent sets is exploited for deriving estimates of the probability of high-runs. The method is verified by identifying independently the corresponding hyperbolic Lagrangian coherent structures; then, consistency is sought between the two approaches. An important feature of the method is that it does not rely on the use of some empirical criterion for the high-run threshold, such as one based on the exceedance of an arbitrary high-speed level. Despite its computational burden, the proposed scheme offers “objective” statistical information on a ship’s high-run tendency that can be used for benchmarking simpler (approximative) probability calculation schemes.


2020 ◽  
Vol 64 (01) ◽  
pp. 81-97
Author(s):  
Ioannis Kontolefas ◽  
Kostas J. Spyrou

A clustering scheme has been applied for capturing qualitatively different surge motion patterns in the phase space. The scheme enables the identification of "high-run" incidents as soon as such motions are triggered and while their phenomenology has not yet been well developed. A "high run" is a surf-riding-like behavior, appearing in irregular following seas. The concept of finite-time coherent sets is exploited for deriving estimates of the probability of high-runs. The method is verified by identifying independently the corresponding hyperbolic Lagrangian coherent structures; then, consistency is sought between the two approaches. An important feature of the method is that it does not rely on the use of some empirical criterion for the high-run threshold, such as one based on the exceedance of an arbitrary high-speed level. Despite its computational burden, the proposed scheme offers "objective" statistical information on a ship's high-run tendency that can be used for benchmarking simpler (approximative) probability calculation schemes. 1. Introduction Current efforts to assess a ship's tendency for abnormal behavior in extreme seas are still limited from our inadequate grasp of the full variety of nonlinear ship motion phenomena that could be realized in an irregular seaway. A classification of these motion patterns would provide a sound basis for developing probabilistic calculation methods of ship operability and safety in extreme seas. A few recent research efforts in our group have been related to this target. In one case, it was endeavored to distinguish ship high-runs from ordinary surging, by engaging the concept of instantaneous wave celerity (Spyrou et al. 2014). In another, the derivation of a practical metric for the probability of high-run was pursued (Belenky et al. 2016). Also, high-run and broaching-to statistics were produced through a direct approach based on assigning prescriptive exceedance thresholds (Spyrou et al. 2016b). Moreover, the theory of surf-riding was extended for bichromatic waves, revealing some rather unexpected types of motion (Spyrou et al. 2018). Even richer phenomena could be conjectured for a multifrequency environment.


2010 ◽  
Vol 15 (3) ◽  
pp. 218-229 ◽  
Author(s):  
Atsuo Maki ◽  
Naoya Umeda ◽  
Martin Renilson ◽  
Tetsushi Ueta

1989 ◽  
Vol 1989 (165) ◽  
pp. 111-121
Author(s):  
Makoto Kan ◽  
Toshihiko Saruta ◽  
Mikio Yasuno

2011 ◽  
Vol 55 (01) ◽  
pp. 19-28
Author(s):  
Kostas J. Spyrou ◽  
Ioannis G. Tigkas

Continuation analysis is performed for the coupled surge, heave, and pitch motions of a ship in steep following seas. The focus of the work is on the efficient elicitation of system dynamics related to the phenomena of nonlinear surging and surf-riding. Background material with several references can be found in Spyrou (1996a, 1996b, 1997, 2006). Main novel features of the current work are the inclusion of fluid memory effects within the framework of continuation analysis and the successful implementation of continuation for the periodic motions that correspond to the "overtaking waves" scenario. The entailed steps for realizing these goals are discussed in detail. Application is presented for a well-known ITTC ship.


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