Arid
报告编号ADA424292
Boundary Layer Turbulence Measurements - at Submarine-Scale Reynolds Numbers - to Support RANS Model Validation and Development.
Klewicki, J. C.
英文摘要Existing laboratory facilities cannot simultaneously create boundary layers at submarine scale Reynolds numbers and measure the small-scale turbulent motions. Because of this, the detailed mechanisms for momentum transport in these flows remains poorly understood. To overcome these challenges, the present project made novel use of the atmospheric surface layer that flows over the salt playa of Utah’s west desert to obtain well resolved turbulence measurements in boundary layers at submarine scale Reynolds numbers. A particular emphasis was the exploration of scale separation effects on the momentum transport. The project obtained well resolved measurements of velocity and vorticity fluctuations for a range of positions normal to the surface, as well as over a limited range of equivalent sand-grain roughness. The Reynolds number scaling behaviors of a number of statistics have been established. An important overarching result is that the motions contributing to both the Reynolds stress and its wall normal gradient shift from large to intermediate scales at high Reynolds numbers. An unanticipated outcome related to this finding was the development of a new theoretical framework for turbulent wall-flows based directly on the relative magnitudes of the stress gradients that appear in the mean momentum balance equation.
英文关键词Turbulent boundary layer Submarines Reynolds number High rate Validation Statistics Turbulence Vortices Scale Scaling factor Laboratories Equations Deserts Atmospheres Gradients Momentum transfer
出版年2004
语种英语
国家United States
URLhttp://r.cnki.net/KCMS/detail/detail.aspx?DbCode=KJBG&dbname=KJBGW&filename=59fac9f131c97d1d549b5aec
来源机构Non Paid ADAS
资源类型科技报告
条目标识符http://119.78.100.177/qdio/handle/2XILL650/273233
推荐引用方式
GB/T 7714
Klewicki, J. C.. Boundary Layer Turbulence Measurements - at Submarine-Scale Reynolds Numbers - to Support RANS Model Validation and Development.,2004.
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