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Prediction method of hydrodynamic forces acting on the hull of a blunt-body ship in the even keel condition

机译:均匀龙骨条件下作用于钝体船船体的水动力预测方法

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The mathematical modeling group (MMG) model is well known and is widely used in the field of ship maneuverability. However, the MMG model can be applied only after determination of the hydrodynamic coefficients either from comprehensive captive model tests or from general empirical data. Around the cruising speed, when a ship's drift angle is relatively small, several methods have been developed to predict hydrodynamic coefficients from the ship's principal particulars, e.g., Kijima's method. Kijima's method is efficient in predicting the ship's maneuverability at the initial design stage and is even able to assess the effect of changes in stern design. Similarly, for the low speed range when a ship's drift angle is relatively large, several methods for predicting the ship's hydrodynamic coefficients have been proposed, based on captive model tests, such as those by Kose, Kobayashi, and Yumuro. However, most of the methods developed for low speeds cannot be applied to general ship types without additional experiments being performed. In contrast, Karasuno's method uses theoretical and empirical approaches to predict the hydro-dynamic forces, even for large drift motions. Although Karasuno's model utilizes the ship's principal particulars and is applicable to a general vessel, it has not been widely used. This is because the form of Karasuno's model is relatively complicated and its accuracy around the cruising speed is less than that for other methods that have been specifically developed for the cruising speed range. A practical method for predicting hydrodynamic forces for the entire operating speed range of blunt-bodyrnships is proposed in this article. It is based on the MMG model and predicts hydrodynamic coefficients based on a ship's principal particulars. A regression model for the proposed method has also been proposed by analyzing 21 different blunt-body ships. Finally, simulations of a very large 4-m crude carrier (VLCC) model using the proposed method were carried out and the results compared with free-running experiments (both at the cruising speed and at low speeds) to validate the efficacy of the model.
机译:数学建模组(MMG)模型是众所周知的,并广泛用于船舶操纵性领域。但是,MMG模型只能在通过综合俘获模型试验或一般经验数据确定了水动力系数之后才能应用。在巡航速度附近,当船舶的偏航角相对较小时,已经开发了几种方法来根据船舶的主要特性预测流体动力系数,例​​如,Kijima方法。 Kijima的方法可以有效地预测船舶在初始设计阶段的可操纵性,甚至可以评估船尾设计变更的影响。类似地,对于船舶漂移角较大时的低速范围,基于俘获模型试验,例如Kose,Kobayashi和Yumuro的试验,提出了几种预测船舶流体动力系数的方法。但是,为低速开发的大多数方法都不能在不执行附加实验的情况下应用于一般船型。相反,Karaseno的方法使用理论和经验方法来预测流体动力,即使是大的漂移运动也是如此。尽管Karasuno的模型利用了船舶的主要特征,并且适用于一般船舶,但并未得到广泛使用。这是因为Karasuno模型的形式相对复杂,并且围绕巡航速度的精度低于针对巡航速度范围专门开发的其他方法的精度。本文提出了一种实用的方法来预测钝体整个工作速度范围内的流体动力。它基于MMG模型,并根据船舶的主要特征预测流体动力系数。通过分析21种不同的钝体船,还提出了该方法的回归模型。最后,使用所提出的方法对一个非常大型的4-m原油运输船(VLCC)模型进行了仿真,并将结果与​​自由运行实验(在巡航速度和低速下)进行了比较,以验证该模型的有效性。

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