论文标题
用CFD湍流模型将TBL壁压光谱的灵敏度映射用于风洞测试结果预测
Sensitivity mapping of TBL wall-pressure spectra with CFD turbulence models for wind tunnel test result prediction
论文作者
论文摘要
在目前的工作中，试图绘制现有的零压力梯度（ZPG）湍流边界层（TBL）具有不同TBL参数的壁压光谱模型，并最终以不同的Reynolds平均Navier Stokes（RANS）模型模拟了OpenFoam和Ansys Fluent Solvers。这项研究将帮助未来的研究人员相对于特定的壁光谱模型选择特定的湍流模型，以便获得相当准确的风洞结果，以预测能力。首先，通过将它们与风隧道测试数据进行比较，选择了最佳预测的压力谱模型。接下来，将实验TBL参数视为基准，估计了RANS生产的数据中的错误。此外，使用从实验和计算流体动力学（CFD）仿真获得的TBL参数feed计算出壁压光谱。最后，具有不同归一化壁正常距离（y+）之间的频谱模型和RANS模型之间进行灵敏度映射。
In the present work, an attempt is made to map the sensitivity of the existing zero pressure gradient (ZPG) turbulent boundary layer (TBL) wall-pressure spectrum models with different TBL parameters, and eventually, with different Reynolds Averaged Navier Stokes (RANS) turbulence models, simulated in OpenFOAM and ANSYS Fluent solvers. This study will help future researchers to choose a particular RANS turbulence model vis-à-vis a particular wall-spectrum model in order to obtain a reasonably accurate wind tunnel result predicting capability. First, the best-predicting pressure spectrum models are selected by comparing them with wind tunnel test data. Next, considering the experimental TBL parameters as benchmarks, errors in RANS-produced data are estimated. Furthermore, wall-pressure spectra are calculated following semi-empirical spectrum models using TBL parameter feed obtained from experiments and computational fluid dynamics (CFD) simulations. Finally, sensitivity mapping is performed between spectrum models and the RANS models, with different normalized wall-normal distances (y+).
