首页> 外文期刊>Polish Maritime Research >APPROXIMATING THE ADDED RESISTANCE COEFFICIENT FOR A BULK CARRIER SAILING IN HEAD SEA CONDITIONS BASED ON ITS GEOMETRICAL PARAMETERS AND SPEED
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APPROXIMATING THE ADDED RESISTANCE COEFFICIENT FOR A BULK CARRIER SAILING IN HEAD SEA CONDITIONS BASED ON ITS GEOMETRICAL PARAMETERS AND SPEED

机译:基于几何参数和速度的海头散货船航行附加阻力系数近似计算

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摘要

The article presents the mathematical function to calculate the added wave resistance transfer function for bulk carriers. Based on this function, the statistical mean added wave resistance generated by an irregular head wave with arbitrary statistical parameters can be forecasted. The input parameters are: waterplane area, waterplane coefficient, ship speed, and frequency of the regular wave. The model has been developed based on the theory of artificial neural networks. The presented function can be used in design analyses, and for planning shipping routes in situations when basic geometrical parameters of the hull are only available and not the full technical documentation. The article presents sample cases of use of this function to calculate the added wave resistance transfer function and the statistical mean added wave resistance. Another presented application refers to waterplane coefficient optimisation taking into account the added wave resistance at the stage of preliminary bulk carrier design.
机译:本文介绍了数学函数,用于计算散装货船的附加波阻传递函数。基于此功能,可以预测由具有任意统计参数的不规则头波产生的统计平均附加波阻力。输入参数为:水上飞机面积,水上飞机系数,船速和规则波频率。该模型是基于人工神经网络理论开发的。所提供的功能可用于设计分析,以及在船体的基本几何参数不可用且没有完整的技术文档的情况下规划运输路线的功能。本文介绍了使用此函数来计算附加波阻传递函数和统计平均附加波阻的示例。另一个提出的应用是在初始散装船设计阶段考虑到增加的波阻的水上飞机系数优化。

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