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Data-Based Modelling of Ship Propulsion for A 2500 TEU Feeder Container Ship

机译:用于2500 TEU馈线集装箱船舶船舶推进的基于数据建模

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A sea-going vessel will always face the risk of rough weather along with its voyages. The focus of this paper is on the creation of a data-based model to estimate the power increase or speed loss due to the influence of weather, by using resistance estimation theories and added resistance approximation methods along with additional assisting tools. Furthermore, a theoretical simulation is done in order to benchmark and correct the model setup. The analysis of simulation results shows that at the available data range, the model proves reasonably precise within its capabilities, for academic applications. The general behavior of the model complies with common ship theory, however, does not perfectly resemble the speed-power relation of the ship’s recorded data averages. The analysis suggests that the model is most compatible with the shipload draft of 9,0 to 9,5 meters and within the speed of 19 to 22 knots. The lack of data outside the typical operating range disables the ability to verify the model correspondingly. The theoretical simulation proves valuable in assessing ship data-based models.
机译:海洋船舶将始终面临着天气崎岖的风险以及其航行。本文的重点是创建基于数据的模型,以估计由于天气的影响,通过使用电阻估计理论和附加的电阻近似方法以及附加的辅助工具来估计由于天气的影响而导致的电力增加或速度损失。此外,在理论上进行了理论模拟,以便基准和更正模型设置。仿真结果的分析表明,在可用数据范围内,该模型在其能力中证明了合理的精确性,用于学术应用。该模型的一般行为符合普通船舶理论,然而,船舶记录数据平均值的速度关系并不完全相同。该分析表明,该模型与9,0至9,5米的船舶汇流兼容,在19至22节的速度范围内。典型操作范围之外的数据缺少禁用相应地验证模型的能力。理论模拟证明了评估基于船舶数据的模型的有价值。

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