基于PIV速度场测量的压强梯度计算

发布时间：2018-05-25 07:15

  本文选题：粒子图像测速(PIV) + 压强梯度　； 参考：《航空动力学报》2017年06期

【摘要】：介绍了基于PIV速度场测量结果计算压强梯度的基本原理和3种不同的计算方法,并通过对流高斯涡模型系统研究了离散格式选取、PIV参数设置和流场特征等对压强梯度计算的影响.结果表明:PIV速度测量的精度是压强梯度计算的关键性影响因素,1%噪声对结果的影响比其他过程高约2个数量级;时间分辨率和空间分辨率的设置并非越高越好,而是有个合适的中间值;拉格朗日方法在大多数情况下优于欧拉方法,但当流动结构较复杂时性能较差,应根据流动类型和流场特征合理选取压强梯度计算方法.
[Abstract]:The basic principle of calculating pressure gradient based on PIV velocity field measurement results and three different calculation methods are introduced. The influence of the parameter setting of discrete scheme and the characteristics of flow field on the calculation of pressure gradient is studied systematically by convection Gao Si vortex model. The results show that the accuracy of the velocity measurement of the 1% PIV is the key factor in the calculation of the pressure gradient. The effect of 1% noise on the results is about 2 orders of magnitude higher than that of the other processes, and the setting of the temporal and spatial resolution is not as high as possible. The Lagrangian method is superior to Euler method in most cases, but when the flow structure is more complex, the pressure gradient calculation method should be reasonably selected according to the flow type and flow field characteristics.
【作者单位】： 中国空气动力研究与发展中心空气动力学国家重点实验室;中国空气动力研究与发展中心气动噪声控制重点实验室;
【基金】：国家自然科学基金(11602290,11504417) 振动与噪声控制技术装备预研项目(51334060301) 中国空气动力研究与发展中心创新基金项目
【分类号】：O35
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本文编号：1932570