期刊
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
卷 235, 期 19, 页码 3859-3874出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/0954406220969736
关键词
Higher order turbulence; grid generated turbulence; turbulence triangle; invariant function; probability distribution function
资金
- Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India [EMR/2015/000266]
This investigation presents an estimate of deviation from isotropic turbulence in grid-generated turbulence influenced by the bottom boundary. It analyzes the turbulence triangle, Eigen values, and invariant functions in near and far field regions with different solidity ratios, and examines the third-order moments of velocity fluctuations and the ratio of momentum flux to turbulent kinetic energy in the frequency domain. The study also reveals the anisotropy of Reynolds stress, showing a closed looping trend in the near field region and an open looping trend in the far-field region of the grid. Additionally, probability distribution functions are used to describe the physical behavior of velocity time-series of random fluctuating components in the stream-wise directions.
The investigation presents the estimate of the degree of deviation from the isotropic turbulence in terms of Reynolds stress tensor for grid generated turbulence under the influence of bottom boundary. The turbulence triangle, Eigen values, and the invariant functions are presented at near and far field regions of the grids with different solidity ratio. In addition, the work also deals with the analysis based on third-order moments of the velocity fluctuations and the ratio of momentum flux to the turbulent kinetic energy in the frequency domain. The Reynolds stress anisotropy exposes that the anisotropic invariant maps possess a closed looping trend in the near field region and an open looping trend in the far-field region of the grid. Further, to describe the physical behaviour of the velocity time-series of random fluctuating components in the stream-wise directions, the probability distribution function are estimated and interpreted.
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