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Wavetet transform was used to analyze the scaling law of temperature data utilize the method of extended self similarity, presented first by Benzi et al. , to study the scaling exponent of temperature data. The obtained results show that the inertial range is much wider than that one determined directly from the conventional structure function, and find the obtained scaling exponent agrees well with the one obtained from the temperature data in an experiment of wind tunnel. The second one was that, by extending the formula which was proposed by A. Arneodo et al. for extracting the scaling exponentζ(q) of velocity data to temperature data, a newly defined formula which is also based on wavelet transform, and can determine the scaling exponentζ(q) of temperature data was proposed.The obtained results demonstrate that by using the method which is named as WTMM ( wavelet transform maximum modulus )ζ(q) correctly can be extracted. 相似文献
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雷诺数对湍流特性的影响 总被引:1,自引:0,他引:1
主要对近年来关于雷诺数(Re)对湍流特性的影响的研究进行了回顾.研究表明除径向偏斜系数和平坦系数分布外,确实存在一个不受Re数影响的区域,但对于不同的物理量这一区域的范围是不同的,即使是同一物理量不同研究者的结果亦不尽相同,显示了近壁区流动的复杂性和测量的困难,激光测速技术(LDV)由于其具有测量精度高、不干扰流场、空间分辨率细等优点,近年来广泛地应用于对湍流,特别是对湍流近壁区流动特性及Re数对湍流统计特性影响等的精细测量,随着LDV自身及其它相关测试技术的进一步改进,LDV在了解湍流产生机理、能量转换等方面发挥着越来越重要的作用. 相似文献
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