| 基于GEKO湍流模型的JBC流场数值模拟 |
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| 引用本文： | 许辉, 日野孝则, 陈作钢. 基于GEKO湍流模型的JBC流场数值模拟[J]. 中国舰船研究, 2022, 17(2): 73–80. doi: 10.19693/j.issn.1673-3185.02123 |
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| 作者姓名： | 许辉 日野孝则 陈作钢 |
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| 作者单位： | 1.上海交通大学 海洋工程国家重点实验室，上海 200240;2.上海交通大学 船舶海洋与建筑工程学院，上海 200240;3.横滨国立大学 工学研究院，日本 横滨 240-8501;
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| 摘 要： | 
目的 两方程模型是RANS工程计算中常用的湍流模型，其中SST k-ω湍流模型具有良好的壁面距离自适应性和逆压梯度流预报能力。然而，湍流模型构造过程中引入的经验性参数使得湍流模型不具普适性, 为此，研究采用引入流动控制参数的方法提高湍流模型对船舶流场的适用性。 方法 在经典SST k-ω湍流模型的基础上，GEKO（Generalized k-ω）湍流模型通过引入流动分离参数CS和旋转修正参数CRC分别控制流动分离强度和流动旋转效应，以提高湍流模型对各类流动的适应性。
针对JBC船型，采用SURF程序对其流场进行数值模拟并与试验结果进行对比，以考察不同设置下新参数对船体阻力、伴流场和压力分布的影响。 结果 计算结果表明，与经典SST k-ω湍流模型相比，GEKO湍流模型中CS和CRC的设置会影响到JBC船型的阻力预报及伴流场预报。 结论 湍流模型的参数化修正具有提高湍流模型适应性和精确度的潜力，对湍流模型工程应用改进具有参考价值。
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| 关 键 词： | GEKO湍流模型 数值模拟 船舶流场 参数调节 |
| 收稿时间： | 2020-09-24 |
| 修稿时间： | 2021-02-23 |
Vorticity structures and turbulence in the wake of full block ships |
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| XU H, HINO T, CHEN Z G. Numerical simulation of JBC flow based on GEKO model[J]. Chinese Journal of Ship Research, 2022, 17(2): 73–80. doi: 10.19693/j.issn.1673-3185.02123 |
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| Authors: | XU Hui HINO Takanori CHEN Zuogang |
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| Affiliation: | 1.State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2.School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;3.Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan |
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| Abstract: |
Objectives Two-equation models are the turbulence models most commonly used for RANS calculations in engineering applications. The SST k-ω turbulence model is self-adaptive of wall distance and capable of predicting adverse pressure gradient flows. However, as empirical constants are introduced to derive turbulence models, none of them are universal for all flow conditions. Flow control parameters are implemented in this study to improve the adaptability of turbulence models to ship flow fields. Methods The GEKO (Generalized k-ω) turbulence model is based on the classical SST k-ω turbulence model, while also introducing separation parameter CS and rotation parameter CRC in order to control the separation intensity and impact of the flow rotation respectively.
The new turbulence model is then applied to predict the flow of a JBC ship. In order to inspect the influence of varying settings of CS and CRC, the experimental data is compared with the calculation results in terms of ship resistance, wake patterns and pressure distribution. Results The comparison results show that the setting of CS and CRC in the GEKO turbulence model can have an impact on the prediction of ship resistance and local wake flow compared to the classical SST k-ω turbulence model. Conclusions The reasonable parameter tuning of turbulence models has the potential to improve the accuracy and applicability of numerical prediction. This procedure can provide references for the modification of turbulence models in engineering applications.
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| Keywords: | GEKO turbulence model numerical simulation ship flow field parameter tuning |
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