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CFD simulations of spoked wheel aerodynamics in cycling: Impact of computational parameters

机译:循环中辐条空气动力学的CFD模拟:计算参数的影响

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摘要

Spoked wheels are commonly used in cycling races and their aerodynamic performance is a critical factor in the overall cycling performance, as the wheels can be responsible for about 10% of the total cyclist-bicycle drag. Although several computational fluid dynamics (CFD) simulations have been carried out for wheel aerodynamics in the past decades, it is still not clear to which extent the outcome of such simulations is sensitive to the computational parameters set by the user. The present paper aims at defining a framework for CFD simulations of an isolated spoked wheel by a systematic sensitivity analysis focused on the computational grid, wheel rotation modeling and turbulence modeling. The results show: (i) a high sensitivity to the wheel surface grid, y(+) (<4) and far-field growth rate (<= 1.15); (ii) the wheel rotational approaches with moving reference frame (MRF) and hybrid MRF-RW (RW = rotating wall approach) can provide a satisfactory agreement with wind tunnel data available in the literature (+9.7% and -2.1% deviations, respectively); (iii) k-omega SST, gamma-SST or realizable k-epsilon are suitable as turbulence models. This work is intended to stimulate the accurate and reliable application of CFD for the assessment and optimization of wheel aerodynamics.
机译:Sepoked车轮通常用于循环赛道,并且它们的空气动力学性能是整体循环性能的关键因素,因为车轮可以负责总骑自行车的自行车阻力的约10%。虽然在过去几十年中已经对车轮空气动力学进行了几种计算流体动力学(CFD)模拟,但仍然不明确于这种模拟的结果对用户设置的计算参数敏感。本文旨在通过专注于计算网格,车轮旋转建模和湍流建模的系统敏感性分析来定义孤立的辐条轮的CFD模拟框架。结果表明:(i)对车轮表面栅格,Y(+)(<4)和远场生长速率的高灵敏度(<= 1.15); (ii)(ii)具有移动参考帧(MRF)和混合MRF-RW(RW =旋转墙体方法)的车轮旋转方法可以与文献中可用的风洞数据(分别为-2.2.1%偏差提供令人满意的协议); (iii)K-Omega SST,Gamma-SST或可实现的K-Epsilon适合作为湍流模型。这项工作旨在刺激CFD准确可靠地应用Wheel空气动力学的评估和优化。

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