Burst Detection in Turbulent Channel Flows Based on Large Eddy Simulation Databases

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	Burst Detection in Turbulent Channel Flows Based on Large Eddy Simulation Databases
	Zhang Q(张强); Zhou JF(周济福); Li JC(李家春)
刊名	Science in China (Series G)
	2005
通讯作者邮箱	zhangtsiang@21cn.com
卷号	48 期号:4 页码:469-484
ISSN号	1672-1799
通讯作者	Zhang, Q (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100080, Peoples R China.
中文摘要	Reliable turbulent channel flow databases at several Reynolds numbers have been established by large eddy simulation (LES), with two of them validated by comparing with typical direct numerical simulation (DNS) results. Furthermore, the statistics, such as velocity profile, turbulent intensities and shear stress, were obtained as well as the temporal and spatial structure of turbulent bursts. Based on the LES databases available, the conditional sampling methods are used to detect the structures of burst events. A method to deterimine the grouping parameter from the probability distribution function (pdf) curve of the time separation between ejection events is proposed to avoid the errors in detected results. And thus, the dependence of average burst period on thresholds is considerably weakened. Meanwhile, the average burst-to-bed area ratios are detected. It is found that the Reynolds number exhibits little effect on the burst period and burst-to-bed area ratio.
学科主题	力学
类目[WOS]	Physics, Multidisciplinary
研究领域[WOS]	Physics
关键词[WOS]	BOUNDARY-LAYERS ; NUMERICAL-SIMULATION ; FREQUENCY
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000232174500009
公开日期	2007-06-15 ; 2007-12-05 ; 2009-06-23
内容类型	期刊论文
源URL	[http://dspace.imech.ac.cn/handle/311007/15886]
专题	力学研究所_力学所知识产出(1956-2008)
推荐引用方式 GB/T 7714	Zhang Q,Zhou JF,Li JC. Burst Detection in Turbulent Channel Flows Based on Large Eddy Simulation Databases[J]. Science in China (Series G),2005,48(4):469-484.
APA	张强,周济福,&李家春.(2005).Burst Detection in Turbulent Channel Flows Based on Large Eddy Simulation Databases.Science in China (Series G),48(4),469-484.
MLA	张强,et al."Burst Detection in Turbulent Channel Flows Based on Large Eddy Simulation Databases".Science in China (Series G) 48.4(2005):469-484.