# 文章中的网格独立性验证

最近审稿意见回来了，里面很重要的一条是：Is the solution grid independend? Please give a proof!
自己的想法是：做不同尺寸网格下的计算，然后对比结果，结果一致就说明算法的网格独立性很好。但是感觉当网格粗大的时候VOF模型算的确实差别比较大
由于一直在用CFD做一些应用，对于网格独立性验证这东西不是很懂。这类意见大概怎么回复比较好？有没有有经验的大佬分享一下经验？

• 你的思路是对的，

另一方面，你做的网格自适应，还可以强调网格自适应本身已经比没有自适应的降低网格相关性了。

不过既然大爷让你证明了，你只能给他算算看

• If you will the whole paper itself would be served as a validation
purpose.

@article{MALIZIA2019103988,
title = "CFD simulations of spoked wheel aerodynamics in cycling: Impact of computational parameters",
journal = "Journal of Wind Engineering and Industrial Aerodynamics",
volume = "194",
pages = "103988",
year = "2019",
issn = "0167-6105",
doi = "https://doi.org/10.1016/j.jweia.2019.103988",
url = "http://www.sciencedirect.com/science/article/pii/S0167610519305884",
author = "F. Malizia and H. Montazeri and B. Blocken",
keywords = "Cycling aerodynamics, Cycling spoked wheel, CFD analysis, Computational grid, Rotation modeling, Turbulence modeling",
abstract = "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-ω SST, γ-SST or realizable k-ε 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."
}