TY - JOUR
T1 - Extreme dissipation and intermittency in turbulence at very high Reynolds numbers
T2 - Extreme dissipation in turbulence
AU - Elsinga, Gerrit E.
AU - Ishihara, Takashi
AU - Hunt, Julian C.R.
N1 - Funding Information:
Data accessibility. Data are available in the electronic supplementary material. Authors’ contributions. G.E.E. developed the model. T.I. carried out the numerical simulations. G.E.E. and T.I. analysed the results. The study was conceived by G.E.E. and J.C.R.H. All authors read, wrote and approved the manuscript. Competing interests. We declare we have no competing interests. Funding. T.I. was supported in part by JSPS KAKENHI grant no. 20H01948 and MEXT as ‘Program for Promoting Researches on the Supercomputer Fugaku’ (Toward a unified view of the universe: from large scale structures to planets). Acknowledgements. The authors thank E. Falgarone for useful discussions on the layers in molecular clouds. The computer resources offered under the category of JHPCN Joint Research Projects by Research Institute for Information Technology, Kyushu University, and the Information Technology Center, Nagoya University, were used.
Publisher Copyright:
© 2020 The Author(s).
PY - 2020
Y1 - 2020
N2 - Extreme dissipation events in turbulent flows are rare, but they can be orders of magnitude stronger than the mean dissipation rate. Despite its importance in many small-scale physical processes, there is presently no accurate theory or model for predicting the extrema as a function of the Reynolds number. Here, we introduce a new model for the dissipation probability density function (PDF) based on the concept of significant shear layers, which are thin regions of elevated local mean dissipation. At very high Reynolds numbers, these significant shear layers develop layered substructures. The flow domain is divided into the different layer regions and a background region, each with their own PDF of dissipation. The volume-weighted regional PDFs are combined to obtain the overall PDF, which is subsequently used to determine the dissipation variance and maximum. The model yields Reynolds number scalings for the dissipation maximum and variance, which are in agreement with the available data. Moreover, the power law scaling exponent is found to increase gradually with the Reynolds numbers, which is also consistent with the data. The increasing exponent is shown to have profound implications for turbulence at atmospheric and astrophysical Reynolds numbers. The present results strongly suggest that intermittent significant shear layer structures are key to understanding and quantifying the dissipation extremes, and, more generally, extreme velocity gradients.
AB - Extreme dissipation events in turbulent flows are rare, but they can be orders of magnitude stronger than the mean dissipation rate. Despite its importance in many small-scale physical processes, there is presently no accurate theory or model for predicting the extrema as a function of the Reynolds number. Here, we introduce a new model for the dissipation probability density function (PDF) based on the concept of significant shear layers, which are thin regions of elevated local mean dissipation. At very high Reynolds numbers, these significant shear layers develop layered substructures. The flow domain is divided into the different layer regions and a background region, each with their own PDF of dissipation. The volume-weighted regional PDFs are combined to obtain the overall PDF, which is subsequently used to determine the dissipation variance and maximum. The model yields Reynolds number scalings for the dissipation maximum and variance, which are in agreement with the available data. Moreover, the power law scaling exponent is found to increase gradually with the Reynolds numbers, which is also consistent with the data. The increasing exponent is shown to have profound implications for turbulence at atmospheric and astrophysical Reynolds numbers. The present results strongly suggest that intermittent significant shear layer structures are key to understanding and quantifying the dissipation extremes, and, more generally, extreme velocity gradients.
KW - dissipation rate statistics
KW - flow structures
KW - shear layers
KW - velocity gradients
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U2 - 10.1098/rspa.2020.0591
DO - 10.1098/rspa.2020.0591
M3 - Article
AN - SCOPUS:85095827985
SN - 1364-5021
VL - 476
JO - Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
JF - Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
IS - 2243
M1 - 0591
ER -