- Access by Xinjiang University
Degeneracy of velocity strain-rate tensor statistics in random isotropic incompressible flows
Phys. Rev. Fluids 3, 024603 – Published 13 February, 2018
DOI: https://doi.org/10.1103/PhysRevFluids.3.024603
Abstract
The article considers the strain-rate tensor distribution in various isotropically distributed incompressible flows. By means of a fortunate choice of variables, a strong degeneracy in the probability distribution of strain-rate tensor characteristics is found in numerical simulations of isotropic turbulence. This allows us to reduce the probability density function (PDF) of the strain-rate tensor to a function of one variable. Also it appears that for those particular parameters that reflect the ratio of different eigenvalues of the strain tensor and parameters), the shapes of their probability distributions are universal and do not depend on the specific shape of distribution. Furthermore, it is also shown analytically that for all time-reversible statistical isotropic flows the probability distribution of is uniform, which generalizes previous numerical calculations.
Physics Subject Headings (PhySH)
Article Text
References (28)
- K. P. Zybin and V. A. Sirota, Model of stretching vortex filaments and foundations of the statistical theory of turbulence, Phys. Usp. 58, 556 (2015).
- A. S. Il'yn, V. A. Sirota, and K. P. Zybin, Passive scalar transport by a non-Gaussian turbulent flow in the batchelor regime, Phys. Rev. E 96, 013117 (2017).
- J. M. Wallace, Twenty years of experimental and direct numerical simulation access to the velocity gradient tensor: What have we learned about turbulence? Phys. Fluids 21, 021301 (2009).
- C. Meneveau, Lagrangian dynamics and models of the velocity gradient tensor in turbulent flows, Annu. Rev. Fluid Mech. 43, 219 (2010).
- A. S. Il'yn and K. P. Zybin, Material deformation tensor in time-reversal symmetry breaking turbulence, Phys. Lett. A 379, 650 (2015).
- R. M. Kerr, Histograms of Helicity and Strain in Numerical Turbulence, Phys. Rev. Lett. 59, 783 (1987).
- W. T. Ashurst, A. Kerstein, R. M. Kerr, and C. H. Gibson, Alignment of vorticity and scalar gradient with strain rate in simulated Navier-Stokes turbulence, Phys. Fluids 30, 2343 (1987).
- T. S. Lund and M. M. Rogers, An improved measure of strain state probability in turbulent flows, Phys. Fluids 6, 1838 (1994).
- A. Tsinober, E. Kit, and T. Dracos, Experimental investigation of the field of velocity gradients in turbulent flows, J. Fluid Mech. 242, 169 (1992).
- A. Pumir, E. Bodenschatz, and H. Xu, Tetrahedron deformation and alignment of perceived vorticity and strain in a turbulent flow, Phys. Fluids 25, 035101 (2013).
- O. R. H. Buxton, S. Laizet, and B. Ganapathisubramani, The effects of resolution and noise on kinematic features of fine-scale turbulence, Exp. Fluids 51, 1417 (2011).
- A. Ooi, J. Martin, J. Soria, and M. S. Chong, A study of the evolution and characteristics of the invariants of the velocity-gradient tensor in isotropic turbulence, J. Fluid. Mech. 381, 141 (1999).
- R. Gomes-Fernandes, B. Ganapathisubramani, and J. C. Vassilicos, Evolution of the velocity-gradient tensor in a spatially developing turbulent flow, J. Fluid. Mech. 756, 252 (2014).
- B. Luthi, A. Tsinober, and W. Kinzelbach, Lagrangian measurement of vorticity dynamics in turbulent flow, J. Fluid. Mech. 528, 87 (2005).
- G. Gulitski, M. Kholmyansky, W. Kinzelbach, B. Luthi, A. Thinober, and S. Yorish, Velocity and temperature derivatives in high-Reynolds-number turbulent flows in the atmospheric surface layer, part 1: Facilities, methods and some general results, J. Fluid. Mech. 589, 57 (2007).
- J. Soria, R. Sondergaard, B. Cantwell, M. Chong, and A. Perry, A study of the fine-scale motions of incompressible time-developing mixing layers, Phys. Fluids 6, 871 (1994).
- Z.-S. She, E. Jackson, and S. A. Orszag, Structure and dynamics of homogeneous turbulence: Models and simulations, Proc. R. Soc. London, Ser. A 434, 101 (1991).
- H.Weyl, The Classical Groups. Their Invariants and Representations (Princeton University Press, Princeton, NJ, 1939).
- M. Wilczek and C. Meneveau, Pressure Hessian and viscous contributions to velocity gradient statistics based on Gaussian random fields, J. Fluid Mech. 756, 191 (2014).
- R. H. Kraichnan and R. Panda, Depression of nonlinearity in decaying isotropic turbulence, Phys. Fluids 31, 2395 (1988).
- L. Shtilman, M. Spector, and A. Tsinober, On some kinematic versus dynamic properties of homogeneous turbulence, J. Fluid Mech. 247, 65 (1993).
- Y. Li, E. Perlman, M. Wan, Y. Yang, R. Burns, C. Meneveau, R. Burns, S. Chen, A. Szalay, and G. Eyink, A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence, J. Turbulence 9, N31 (2008).
- E. Perlman, R. Burns, Y. Li, and C. Meneveau, Data exploration of turbulence simulations using a database cluster, Supercomputing SC07 (2007).
- Since the divergence-free condition in the simulation is enforced based on the spectral representation of the derivatives, we put to be equal to and considered this traceless counterpart of the strain-rate tensor.
- A. N. Shiryaev, Probability-1 (Springer, Berlin, 2016).
- P. Bilingsley, Probability and Measure (John Wiley & Sons, New York, 1986).
- M. L. Mehta, Random Matrices (Elsevier/Academic Press, San Diego, CA, 2004).
- I. M. Gel'fand and G. E. Shilov, Properties and Operations, Vol. 1 of Generalized Functions (Academic Press, San Diego, CA, 1964).