A semi-empirical model for ship speed loss prediction at head sea and its validation by full-scale measurements
A semi-empirical model for ship speed loss prediction at head sea and its validation by full-scale measurements
复制标题
迎海船舶速度损失预测的半经验模型及其全尺寸测量验证
DOI：
10.1016/j.oceaneng.2020.107494
复制
发表时间：
2020-08
影响因子：
5
通讯作者：
Wengang Mao
中科院分区：
文献类型：
--
作者：
Xiao Lang;Wengang Mao
本文提出了一种半经验模型来估计船舶在迎海时的速度损失。在模型中，除了其他主要细节之外，还进一步发展了估计船舶因波浪而增加的阻力的公式，以更好地考虑船体形状。通过对11艘船舶在常规首浪下的模型试验试验，新公式形式更加灵活，比其他同类模型更能拟合试验结果。此外，该模型提出了一个基于显着波高的修正因子乘以传统积分来计算不规则波浪中的波阻。该因素应该考虑大浪中船舶的耦合运动对船舶因波浪而增加的阻力的影响。该模型通过两艘船（一艘 PCTC 和一艘化学品船）的全尺寸测量得到验证。航行路线沿途遇到的天气状况是从再分析气象海洋数据中提取的。结果表明，所提出的模型可以相当准确地预测逆海作业中的船舶速度损失。
This paper proposes a semi-empirical model to estimate a ship’s speed loss at head sea. In the model, the formulas to estimate a ship’s added resistance due to waves have been further developed to better consider the ship hull forms, in addition to other main particulars. Based on the model experimental tests of 11 ships in regular head waves, the new formulas have more flexible forms and can better fit the test results than other similar models. In addition, this model proposes a significant wave height based correction factor multiplied to the conventional integration to compute wave resistance in irregular waves. This factor is supposed to consider the impact of coupled ship motions in high waves on a ship’s added resistance due to waves. The model is validated by the full-scale measurement from two vessels, a PCTC and a chemical tanker. The encountered weather conditions along the sailing routes are extracted from the reanalysis metocean data. The results indicate that the proposed model can provide quite accurate predictions of ship speed loss in head sea operations.
登录
查看更多内容
影响因子：
2.2
作者：
O. E. Moctar;V. Shigunov;Tobias Zorn
通讯作者：
O. E. Moctar;V. Shigunov;Tobias Zorn
DOI：
10.1080/14786444208521213
发表时间：
1942-06
期刊：
Philosophical Magazine Series 1
影响因子：
--
作者：
T. Havelock
通讯作者：
T. Havelock
DOI：
--
发表时间：
2016-06
期刊：
--
影响因子：
--
作者：
Shukui Liu;A. Papanikolaou
通讯作者：
Shukui Liu;A. Papanikolaou
影响因子：
1.8
作者：
Shukui Liu;B. Shang;A. Papanikolaou;V. Bolbot
通讯作者：
Shukui Liu;B. Shang;A. Papanikolaou;V. Bolbot
DOI：
10.2534/jjasnaoe.8.171
发表时间：
2008-05
期刊：
--
影响因子：
--
作者：
M. Kuroda;M. Tsujimoto;T. Fujiwara;S. Ohmatsu;K. Takagi
通讯作者：
M. Kuroda;M. Tsujimoto;T. Fujiwara;S. Ohmatsu;K. Takagi