Study on the Parametric Rolling of Medium-Sized Containership Based on Nonlinear Time Domain Analysis

Seung-Ho Yang
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Abstract

The numerical analysis of parametric rolling of medium-sized containership has been carried out. Target containership was modeled by using two different numerical models, which are nonlinear numerical model and simplified dynamic mathematical model respectively. The simulations were performed in full-loaded operating condition for regular and irregular waves. For regular waves, the analysis was conducted with a wide range of wave periods including the vicinity of the wave period expected to cause parametric rolling of the target containership. On the other hand, regarding irregular waves, the wave period range that is highly likely to occur according to significant wave height was selected and used as input values of wave spectrum for nonlinear time domain analysis. The analysis results are summarized as wave height versus wave period diagrams with the occurrences of parametric rolling motions for each speed. And also, time series based on time domain analysis are represented and compared between nonlinear numerical model and simplified dynamic mathematical model. In addition, the sensitivity of key parameters such as vessel speed, wave period, and roll damping to parametric rolling was investigated and estimated under operating condition. Finally, when the parametric rolling occurred, the characteristics of heave, pitch, and roll motions were analyzed. This study could be used as the basic data for determining the operational conditions for safe operation as well as initial design of the medium-sized containership.
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基于非线性时域分析的中型集装箱船参数滚动研究
对中型集装箱船的参数滚压进行了数值分析。采用非线性数值模型和简化动态数学模型两种不同的数值模型对目标集装箱船进行建模。对规则波和不规则波进行了满载工况下的模拟。对于规则波,分析的波浪周期范围很广,包括可能引起目标集装箱船参数滚动的波浪周期附近。另一方面,对于不规则波,根据显著波高选取极有可能发生的波周期范围作为波谱输入值,进行非线性时域分析。分析结果总结为波高与波周期的关系图,以及在每个速度下参数滚动运动的发生情况。对基于时域分析的时间序列进行了表征,并对非线性数值模型和简化的动态数学模型进行了比较。此外,研究了船舶航速、波浪周期、横摇阻尼等关键参数对参数横摇的敏感性,并在运行条件下进行了估计。最后,分析了参数横摇发生时的垂荡、俯仰和横摇运动特性。研究结果可作为确定中型集装箱船安全运行工况和初始设计的基础数据。
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