Abstract
The main dispute about the origins and nature of turbulence involves a number of aspects and issues in the frame of the dichotomy of deterministic versus random. In science this dispute covers an enormous spectrum of themes such as philosophy of science, mathematics, physics and other natural sciences. Fortunately, we do not have to dwell into this ocean of debate and opposing and intermediate opinions. This is mainly because (as it stands now) turbulence is described by the NSE which are purely deterministic equations with extremely complex behavior enforcing use of statistical methods, but this does not mean that the nature of such systems is statistical in any/some sense as frequently claimed. The bottom line is that turbulence is only apparently random: the apparently random behavior of turbulence is a manifestation of properties of a purely deterministic law of nature in our case adequately described by NSE. An important point is that this complex behavior does make this law neither probabilistic nor indeterminate.
One of the problems of turbulent research is that we are forced to use statistical methods in one sense/way or another. All statistical methods have inherent limitations the most acute reflected in the inability of all theoretical attempts (both physical and mathematical) to create a rigorous theory along with other inherent limitations of handling data such as description and interpretation of observations. However, the technical necessity of using statistical methods is commonly stated as the only possibility in the theory of turbulence. The consequence of this leads to the necessity of low-dimensional description with the removal of small scale and high-frequency components of the dynamics of a flow including quantities containing a great deal of fundamental physics of the whole flow field such as rotational and dissipative nature of turbulence among others. Thus, relying on statistical methods only (again with all the respect) one is inevitably loosing/missing essential aspects of basic physics of turbulence. So one stays with the troublesome question whether it is possible to penetrate into the fundamental physics of turbulence via statistics only. In other words, there is an essential difference between the enforced necessity to employ statistical methods in view absence of other methods so far and the impossibility in principle to study turbulence via other approaches. This is especially discouraging all attempts to get into more than just “en masse”. Also such a standpoint means that there is not much to be expected as concerns the essence of turbulence using exclusively statistical methods.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Quantum mechanics is certainly imposing. But an inner voice tells me that it is not yet the real thing. The theory says a lot, but does not really bring us any closer to the secret of the “old one.” I, at any rate, am convinced that He does not throw dice (Einstein 1926).
Not only does God definitely play dice, but He sometimes confuses us by throwing them where they can’t be seen (Hawking and Penrose 1996).
Today “chaotic” and “determinstic” are not considered as counterparts of a false dichotomy. This takes it origin to Poincare (1952b, pp. xxiii–iv).
- 2.
However, we repeat that since Leray (1934) until recently one was not sure about the theoretical, but not observational, possibility that turbulence is a manifestation of breakdown of the Navier–Stokes equations. Also note the statement by Ladyzhenskaya (1969): …it is hardly possible to explain the transition from laminar to turbulent flows within the framework of the classical Navier–Stokes theory.
- 3.
The en masse comes from the analogy with statistical physics. But there one has literally many similar objects—molecules. So one realization there may well suffice either, see below.
- 4.
The basic question (which usually is not asked) concerning statistical description is whether such complex behavior permits a closed representation that is simple enough to be tractable and insightful but powerful enough to be faithful to the essential dynamics (Kraichnan and Chen 1989).
The problem is that in such an approach the rotational and dissipative aspects are not considered as belonging to the essential dynamics.
- 5.
References
Arnold VI (1991) Kolmogorov’s hydrodynamics attractors. Proc R Soc Lond A 434:19–22
Biferale L, Lanotte AS, Federico Toschi F (2004) Effects of forcing in three-dimensional turbulent flows. Phys Rev Lett 92:094503
Bonnet JP (ed) (1996) Eddy structure identification. Springer, Berlin
Borel E (1909) Sur les probabilites denombrables et leurs applications arithmetiques. Rend Circ Mat Palermo 41:247–271
Bradshaw P (1994) Turbulence: the chief outstanding difficulty of our subject. Exp Fluids 16:203–216
Einstein A (1926) Letter to Max Born (4 December 1926); the Born-Einstein letters (translated by Irene Born). Walker and Company, New York. ISBN 0-8027-0326-7
Elsinga GE, Marusic I (2010) Universal aspects of small-scale motions in turbulence. J Fluid Mech 662:514–539
Foiaş C, Manley O, Rosa R, Temam R (2001) Navier–Stokes equations and turbulence. Cambridge University Press, Cambridge
Frenkiel FN, Klebanoff PS, Huang TT (1979) Grid turbulence in air and water. Phys Fluids 22:1606–1617
Galanti B, Tsinober A (2006) Physical space helicity properties in quasi-homogeneous forced turbulence. Phys Lett A 352:141–149
Gkioulekas E (2007) On the elimination of the sweeping interactions from theories of hydrodynamic turbulence. Physica D 226:151–172
Guckenheimer J (1986) Strange attractors in fluids: another view. Annu Rev Fluid Mech 18:15–31
Gulitskii G, Kholmyansky M, Kinzlebach W, Lüthi B, Tsinober A, Yorish S (2007a) Velocity and temperature derivatives in high Reynolds number turbulent flows in the atmospheric surface layer. Facilities, methods and some general results. J Fluid Mech 589:57–81
Gulitskii G, Kholmyansky M, Kinzlebach W, Lüthi B, Tsinober A, Yorish S (2007b) Velocity and temperature derivatives in high Reynolds number turbulent flows in the atmospheric surface layer. Part 2. Accelerations and related matters. J Fluid Mech 589:83–102
Gulitskii G, Kholmyansky M, Kinzlebach W, Lüthi B, Tsinober A, Yorish S (2007c) Velocity and temperature derivatives in high Reynolds number turbulent flows in the atmospheric surface layer. Part 3. Temperature and joint statistics of temperature and velocity derivatives. J Fluid Mech 589:103–123
Hawking S, Penrose R (1996) The nature and time. Princeton University Press, Princeton, p 26
Holmes PJ, Berkooz G, Lumley JL (1996) Turbulence, coherent structures, dynamical systems and symmetry. Cambridge University Press, Cambridge
Hoyle F (1957) The black cloud. Harper, New York
Kolmogorov AN (1933) Grundbegriffe der Wahrscheinlichkeitsrechnung. Springer, Berlin. English translation: Kolmogorov AN (1956) Foundations of the theory of probability, Chelsea
Kolmogorov AN (1941a) The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers. Dokl Akad Nauk SSSR 30:299–303. For English translation see Tikhomirov VM (ed) (1991) Selected works of AN Kolmogorov, vol I, Kluwer, pp 318–321
Kolmogorov AN (1941b) Dissipation of energy in locally isotropic turbulence. Dokl Akad Nauk SSSR 32:19–21. For English translation see Tikhomirov VM (ed) (1991) Selected works of AN Kolmogorov, vol I, Kluwer, pp 324–327
Kolmogorov AN (1956) The theory of probability. In: Aleksandrov AD et al. (eds) Mathematics, its content, methods and meaning. AN SSSR, Moscow. English translation: Am Math Soc, pp 229–264 (1963)
Kolmogorov AN (1985) In: Notes preceding the papers on turbulence in the first volume of his selected papers, vol I. Kluwer, Dordrecht, pp 487–488. English translation: Tikhomirov VM (ed) (1991) Selected works of AN Kolmogorov
Kraichnan RH (1959) The structure of isotropic turbulence at very high Reynolds numbers. J Fluid Mech 5:497–543
Kraichnan RH (1964) Kolmogorov’s hypotheses and Eulerian turbulence theory. Phys Fluids 7:1723–1734
Kraichnan RH, Chen S (1989) Is there a statistical mechanics of turbulence? Physica D 37:160–172
Ladyzhenskaya OA (1969) Mathematical problems of the dynamics of viscous incompressible fluids. Gordon and Breach, New York
Landau LD, Lifshits EM (1959) Fluid mechanics. Pergamon, New York
Laplace PS (1951) A philosophical essay on probabilities. Dover, New York. Translated by Truscott FW, Emory FL (Essai philosophique sur les probabilités. Rééd., Bourgeois, Paris, 1986. Texte de la 5éme éd., 1825)
Leray J (1934) Essai sur le mouvement d’un fluide visqueux emplissant l’espace. Acta Math 63:193–248
Lorenz EN (1972) Investigating the predictability of turbulent motion. In: Rosenblatt M, van Atta CC (eds) Statistical models and turbulence. Lecture notes in physics, vol 12, pp 195–204
Loskutov A (2010) Fascination of chaos. Phys Usp 53(12):1257–1280
Lumley JL (1970) Stochastic tools in turbulence. Academic Press, New York
Lüthi B, Tsinober A, Kinzelbach W (2005) Lagrangian measurement of vorticity dynamics in turbulent flow. J Fluid Mech 528:87–118
Mollo-Christensen E (1973) Intermittency in large-scale turbulent flows. Annu Rev Fluid Mech 5:101–118
Monin AS, Yaglom AM (1971) Statistical fluid mechanics, vol 1. MIT Press, Cambridge
Ornstein S, Weiss B (1991) Statistical properties of chaotic systems. Bull Am Math Soc 24:11–116
Orszag SA (1977) Lectures on the statistical theory of turbulence. In: Balian R, Peube J-L (eds) Fluid dynamics. Gordon and Breach, New York, pp 235–374
Orszag SA, Staroselsky I, Yakhot V (1993) Some basic challenges for large eddy simulation research. In: Orszag SA, Galperin B (eds) Large eddy simulation of complex engineering and geophysical flows. Cambridge University Press, Cambridge, pp 55–78
Palmer TN, Hardaker PJ (2011) Introduction: handling uncertainty in science. Philos Trans R Soc Lond A 369:4681–4684
Poincare H (1952b) Science and hypothesis. Dover, New York, pp xxiii–xiv
Ruelle D (1979) Microscopic fluctuations and turbulence. Phys Lett 72A(2):81–82
Tennekes H (1975) Eulerian and Lagrangian time microscales in isotropic turbulence. J Fluid Mech 67:561–567
Tikhomirov VM (ed) (1991) Selected works of AN Kolmogorov, vol I. Kluwer, Dordrecht
Tritton DJ (1988) Physical fluid dynamics, 2nd edn. Clarendon, Oxford
Tsinober A (2001) An informal introduction to turbulence. Kluwer, Dordrecht
Tsinober A (2009) An informal conceptual introduction to turbulence. Springer, Berlin
Tsinober A, Vedula P, Yeung PK (2001) Random Taylor hypothesis and the behaviour of local and convective accelerations in isotropic turbulence. Phys Fluids 13:1974–1984
Vishik MJ, Fursikov AV (1988) Mathematical problems of statistical hydromechanics. Kluwer, Dordrecht
von Neumann J (1949) Recent theories of turbulence. In: Taub AH (ed) A report to the office of naval research. Collected works, vol 6. Pergamon, New York, pp 437–472
Wiener N (1938) Homogeneous chaos. Am J Math 60:897–936
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Tsinober, A. (2014). Nature of Turbulence. In: The Essence of Turbulence as a Physical Phenomenon. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7180-2_5
Download citation
DOI: https://doi.org/10.1007/978-94-007-7180-2_5
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-7179-6
Online ISBN: 978-94-007-7180-2
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)