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Aerodynamic study of different cyclist positions: CFD analysis and full-scale wind-tunnel tests

机译:不同骑车人位置的空气动力学研究:CFD分析和全面风洞测试

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摘要

Three different cyclist positions were evaluated with Computational Fluid Dynamics (CFD) and wind-tunnel experiments were used to provide reliable data to evaluate the accuracy of the CFD simulations. Specific features of this study are: (1) both steady Reynolds-averaged Navier-Stokes (RANS) and unsteady flow modelling, with more advanced turbulence modelling techniques (Large-Eddy Simulation - LES), were evaluated; (2) the boundary layer on the cyclist's surface was resolved entirely with low-Reynolds number modelling, instead of modelling it with wall functions; (3) apart from drag measurements, also surface pressure measurements on the cyclist's body were performed in the wind-tunnel experiment, which provided the basis for a more detailed evaluation of the predicted flow field by CFD. The results show that the simulated and measured drag areas differed about 11% (RANS) and 7% (LES), which is considered to be a close agreement in CFD studies. A fair agreement with wind-tunnel data was obtained for the predicted surface pressures, especially with LES. Despite the higher accuracy of LES, its much higher computational cost could make RANS more attractive for practical use in some situations. CFD is found to be a valuable tool to evaluate the drag of different cyclist positions and to investigate the influence of small adjustments in the cyclist's position. A strong advantage of CFD is that detailed flow field information is obtained, which cannot easily be obtained from wind-tunnel tests. This detailed information allows more insight in the causes of the drag force and provides better guidance for position improvements.
机译:使用计算流体动力学(CFD)评估了三个不同的骑车人位置,并使用风洞实验提供了可靠的数据来评估CFD模拟的准确性。这项研究的特定特征是:(1)评估了雷诺平均的Navier-Stokes(RANS)和非稳态流动建模,以及更先进的湍流建模技术(大涡模拟-LES); (2)用低雷诺数模型完全解决了骑自行车者表面的边界层,而不是用墙函数对其进行了建模; (3)除了风阻测量外,在风洞实验中还对骑车人的身体进行了表面压力测量,这为通过CFD对预测的流场进行更详细的评估提供了基础。结果表明,模拟和测量的阻力面积相差约11%(RANS)和7%(LES),这被认为与CFD研究密切相关。对于预测的表面压力,尤其是使用LES,可以获得与风洞数据的合理协议。尽管LES的准确性更高,但它的高得多的计算成本可能使RANS在某些情况下对实际应用更具吸引力。发现差价合约(CFD)是评估不同骑车人位置的阻力并调查骑车人位置小幅调整的影响的有价值的工具。 CFD的一个强大优势是可以获得详细的流场信息,而这些信息很难从风洞测试中获得。此详细信息可让您更深入地了解阻力的原因,并为位置改善提供更好的指导。

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