The paper provides a new wave spectrum reconstruction algorithm for short-crested sea state conditions in the frequency-domain, based on the wave buoy analogy and the Spearman rank correlation coefficient. After a brief review about the main wave spectrum assessment methods, the new algorithm is outlined and a stepwise procedure is proposed for its employment in a numerical code developed in Matlab. A wide benchmark study is carried out to systematically investigate the effectiveness of the proposed method, assuming the S175 containership as reference vessel. The simulation of ship motions in the time-domain is performed by a dedicated code, developed in Matlab and based on the solution of Cummins equations. The main wave spectrum parameters are randomly varied at various heading angles, from following to head sea conditions, to systematically investigate the effectiveness of the proposed method. Another set of random simulations is provided by randomly varying the ship speed and heading angle to investigate the statistics of errors and test the new algorithm in almost all possible scenarios, representative of unimodal short-crested sea state conditions the ship may encounter during its lifetime. The main outcomes of the research are discussed and some possible improvements are outlined for future research.

A new wave spectrum assessment procedure based on spearman rank correlation algorithm

Piscopo, V.
;
Ascione, S.;Scamardella, A.
2024-01-01

Abstract

The paper provides a new wave spectrum reconstruction algorithm for short-crested sea state conditions in the frequency-domain, based on the wave buoy analogy and the Spearman rank correlation coefficient. After a brief review about the main wave spectrum assessment methods, the new algorithm is outlined and a stepwise procedure is proposed for its employment in a numerical code developed in Matlab. A wide benchmark study is carried out to systematically investigate the effectiveness of the proposed method, assuming the S175 containership as reference vessel. The simulation of ship motions in the time-domain is performed by a dedicated code, developed in Matlab and based on the solution of Cummins equations. The main wave spectrum parameters are randomly varied at various heading angles, from following to head sea conditions, to systematically investigate the effectiveness of the proposed method. Another set of random simulations is provided by randomly varying the ship speed and heading angle to investigate the statistics of errors and test the new algorithm in almost all possible scenarios, representative of unimodal short-crested sea state conditions the ship may encounter during its lifetime. The main outcomes of the research are discussed and some possible improvements are outlined for future research.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/138538
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