基于数据驱动作动器线模型的水动力涡轮性能和尾迹分析

J. Bowman, S. Bhushan, G. Burgreen, I. Dettwiller
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引用次数: 0

摘要

利用叶片分解涡轮DES仿真,建立了数据驱动的作动器线模型。从叶片中提取压力和粘性力,并将其纳入OpenFOAM中的致动器线模型框架实现中。数据驱动的致动器线模型试图解决当前可用的致动器线模型的局限性。数据驱动作动器线模型的建立将高保真的叶片解析力数据转化为力系数。其结果是一个经过精细调整的模型,可以以很小的计算费用复制叶片分解模型的涡轮性能。数据驱动的作动器线模型与作动器线模型的比较表明,在高叶尖速比下,作动器线模型能较好地预测推力和功率系数。作者讨论了目前数据驱动作动器线模型的局限性,以及该模型将如何发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hydrokinetic Turbine Performance and Wake Analysis Using a Data-Driven Actuator Line Model
A data-driven actuator line model was derived using a blade-resolved turbine DES simulation. Pressure and viscous forces were extracted from the blades and incorporated into an actuator line model framework implementation in OpenFOAM. The data-driven actuator line model attempts to address the limitations of the currently available actuator line model. The development of the data-driven actuator line model transformed the high-fidelity blade-resolved force data into force coefficients. The result is a finely tuned model that can replicate the turbine performance of the blade-resolved model for a fraction of the computational expense. The comparison between the data-driven actuator line model and the actuator line model reveals that at high tip speed ratios the actuator line model over predicts the thrust and power coefficient. The author discusses the limitations of the data-driven actuator line model in its current form and how the model will be advanced.
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