Prediction analysis of statistical eigenvalues of ship motion based on different wave spectra under rough sea conditions
The prediction of extreme ship motions under rough sea conditions is crucial for the assessment of naviga-tion safety.At present,single-peak spectral wave model is often used for predicting extreme values of ship motion,and a large amount of wave observation data indicates that there are few pure wind waves and swell conditions on the sea surface,and most waves appear in the form of mixed waves.In this research,the motion responses of a ship type under regular waves is calculated.According to the calculation results,the ITTC single-parameter wave spectrum and the Ochi-Hubble wave spectrum with different frequency energy are used to predict the statistical eigenvalues of ship motion under rough sea condi-tions.Meanwhile,the single amplitude significant value of heave,pitch,roll motion under different wave angles and distinct vessel speeds of 18 kn,24 kn and 30 kn are compared and analyzed.The influence of different wave spectra on the amp-litude of ship motion under rough sea conditions is explored,so as to provide reference for safe navigation of ships in rough sea conditions.