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![]() World Journal of Mechanics, 2013, 3, 224-229 doi:10.4236/wjm.2013.34022 Published Online July 2013 (http://www.scirp.org/journal/wjm) Turbulence Mechanics in Progress—From Classical to Postclassical* Jaak Heinloo Marine Systems Institute, T al li nn University of Technology, Ta llinn, Estonia Email: [email protected] Received May 22, 2013; revised June 22, 2013; accepted June 30, 2013 Copyright © 2013 Jaak Heinloo. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT This paper explains the basic steps form the classical turbulence mechanics (CTM) to the postclassical turbulence me- chanics (PCTM). When the CTM stems from the characterization of the motion states in the infinitesimal surround ings of the flow-field points by the flow velocity at these points then the PCTM complements this characterization by the curvature of the velocity fluctuation streamlines passing these poin ts. The complementation is formalized by the inclu- sion of the curvature of the velocity fluctuation streamlines to the arguments of the probability distribution of the mo- tion states in the infinitesimal surroundings of the flow field points. The most radical physical outcome of the realized formalism is the characterization of the turbulence viscosity properties by two types of turbulence viscosity against only one shear viscosity within the CTM. Keywords: Fluids Mechanics; Turbulence; Mathematical Modeling 1. Introduction The classical turbulence mechanics (CTM) originates from J. Boussinesq [1] and O. Reynolds [2]. It identifies the turbulence with a chaotic form of fluids motion and sets the turbulence description to the Reynolds-averaged Navier-Stokes equation (RANS, called also the Reynolds equation), gathering the turbulence effects into the sym- metric turbulent stress tensor. The applied to this tensor closure assumption reduces its specification to the deter- mination of turbulent shear viscosity coefficient, which turns the modeling (parameterization) of this coefficient to the synonym of the CTM. Different parameterization models of this coefficient from the semi-empirical mod- els [3,4] to more contemporary turbulence models [5,6] have been proposed to solve this task. Despite the similarity of the setup of the CTM to the setup of the classical fluid mechanics of viscous fluids (CFM)—both are formalized within the law of momen- tum with the symmetric stress tensor parameterized (for incompressible fluids) by just one (shear) viscosity coef- ficient—there is still a substantial difference b etween the two. While the CFM grounds the symmetry of the mo- lecular stress tensor on the constituted absence of the energy-carrying internal rotational degrees of freedom of the medium, then the CTM constitutes the symmetry of the (Reynolds) stress tensor thus ruling out the energy- carrying internal rotational degrees of freedom of turbu- lent media. Insofar as this kind of the medium rotational degrees of freedom in turbulent media are foreseen by another classical conception of turbulence originating from L. F. Richardson [7] and A. N. Kolmogorov [8] (henceforth, the RK concep tion which stresses the turbu- lence order reflected in its hierarchic eddy structure up- hold by the cascading en ergy transfer through the system of eddies of different scales with the large-scale eddies obtaining their energy immediately from the average flow) the grounding statements of CTM and the RK con- ception prove contradicting. Unlike the CTM, the po stclassical turbulence mechan- ics (PCTM) [9,10] treats the problem of turbulence in the context of physical doctrine of turbulence (PDT) [11]. The PDT sets the formulation of turbulence mechanics (TM) into a systemic context [12,13], esteems the RK conception and mandates the formulation of the TM wi- thin the principles of statistical physics and continuum mechanics [14,15]. The PCTM meets this mandate start- ing from modifying the very origin of the turbulence de- scription setup. The modification consists in distinguish- ing the states of motion in infinitesimal surroundings of the flow-field points by the curvature of the velocity *The formulation of the PCTM was supported by the grants No 3157, 5009 and 9381 of the Estonian Science Foundation. Copyright © 2013 SciRes. WJM ![]() J. HEINLOO 225 fluctuation streamlines passing these points, formalized by the inclusion of the curvature of the velocity fluctua- tion streamlines to the set of arguments of the probability distribution of the motion states in the infinitesimal sur- roundings of the flow field points. Due to the modifica- tion introduced the PCTM appears substantially different from the CTM in its outcome. The most prominent dif- ference is the asymmetry of the turbulent stress tensor providing the tu rbulent media with two types of viscos ity against just one viscosity within the CTM. The difference ends up in not only diverging formalisms but also dem- onstrates the insufficiency of the boundary conditions imposed within the CTM to determine the flow situation uniquely. Moreover, as shown in the listed in [10] appli- cations of the theory of rotationally anisotropic turbu- lence, the complementation of the setup of the PCTM with the appropriate closure assumptions, the additional introduced viscosity of turbulent media appears to be much more essential to the description of the related ph y- sical processes than the turbulent shear viscosity. Being grounded on the enlarged physical background the PCTM proves comprising the CTM as its particular case. By comprising the CTM it comprises also the Large-Scale-Eddy (LES) turbulence modeling [16,17], diverging from the conventional setup of the TM by ap- plying the averaging procedure to the small-scale turbu- lence constituent only. The PCTM pays respect also to several former ideas which have been remained outside the general trends of formulation of the TM. In addition to the RK conception it refreshes the idea of G. Mattioli [18], who first suggested the inclusion of the equation of moment-of-momentum to the setup of turbulence de- scription, as well as some recent ideas like the relation of the turbulent media to the class of micropolar fluids [19- 21] and the ideas applied in the structure-based turbu- lence models [22,23]. The current paper is aimed to explain the PCTM in simple terms and graphs avoiding complicated mathema- tics and to call up all interested parties, including those who see their mission in defending the turbulence de- scription standards comprised in the CTM, to critically analyze the new situation in the TM altered by the for- mulation of the PCTM. The discussion starts (Section 2) from decomposition of a velocity fluctuation to its con- stituents correlating and not correlating with the curva- ture of the velocity fluctuation streamline. Section 3 dis- cusses the respective situation in terms of energy. Section 4 comments on some problems related to the declared in the PCTM asymmetry of the turbu lent stress tensor. Sec- tions 5 and 6 sum up the main points of the novelty in- troduced by the PCTM into the turbulence description and address the inferences drawn from available data confirming experimentally the grounding assumptions of the PCTM. 2. Adjusted Representation of the Turbulent Velocity Field The PCTM starts its formalism from the classical repre- sentation of the turbulent flow velocity in the form v vuv, (1) where uv (2) in which the an gular brackets denote statistical averag ing and v denotes the fluctuating constituent of velocity. Let now the probability density, specifying the averaging in (2), be detailed as ,fvk , where is the curva- ture of the velocity fluctuation streamline passing a flow field point. By the definition k s ke in which e vvand s is the length of the curve of v streamline passing the flow field point. The specification distinguishes the flow situations in the infinitesimal sur- roundings of the turbulent flow field points by the cur- vature of the velocity fluctuation streamlines passing these points (Fig ure 1). Representing fv,k as 12 fffv,kv kk, (3) where 12 fffvkv,kk and 2dff kv,kv, we have (Figure 2) +vvv , (4) where (and henceforth) the over-bar denotes the averag- ing by 1 fvk. It is evident that in (4) is statisti- cally independent from v v and . Notice, that the CTM constitutes the probability density of the averaging procedure in (2) specified as k () f v, which declares vv and 0 v. dV k v Figure 1. Illustration of distinguishing the flow situations in infinitesimal surrounding of a flow field point (dV) by the curvature k of the velocity fluctuation streamline passing this point: the flow situations with the same v but oppo- site k prove different. Copyright © 2013 SciRes. WJM ![]() J. HEINLOO 226 v v v v v u Figure 2. Decomposition of the flow velocity in turbulent flow field accounting for the curvature of the velocity fluc- tuation streamlines passing the flow-field points. 3. Decomposition of Turbulence Energy 3.1. Primary Decomposition In terms of energy the decomposition of velocity fluctu a- tion in (4) reads as 12 K KK, (5) where 2 1 2 K v is the (total) turbulence energy, while 2 1 12 K v and 2 21 2 K v are natural to interpret as the energies of the small-scale and the large-scale tur- bulence constitu ents. The energy graph in Figure 3 displays the energy situation assumed within the CTM and the situation cor- responding to (5), for the cascading energy transfer from the average flow with energy 2 1 2 u K u to the thermal energy through the turbulent phase of motion repre- sented by the energies 1 U K and 2 K . Vertical arrows in Figure 3 mark the levels of energy ceding and receiving, ,iji j Qu denotes the work realizing the energy trans- fer from the average flow either to K or to 2 K , Q denotes the work realizing the energy transfer from 2 K to 1 K and denotes the dissipation rate of turbulence energies K or 1 K . 3.2. Secondary Decomposition The secondary decomposition of the turbulence energy stems from the definition of the kinematical-dynamical pair of the Euleri an fl o w -field characteristics [10] vk and MvR (6) where 2 Rkk is the curvature radius-vector corre- sponding to . The defined k (henceforth, the gyroc- ity) has the sense of average angular velocity of rotation of medium particles at a flow-field point in respect to the random curvature centres of the velocity fluctuation streamlines passing this point, and (henceforth, spin) has the sense of average density (per unit mass) of the moment of fluctuating constituent of momentum w M U Chaos Order 1 K 2 K u K K Q Q Q Primar y decomposition (PD) CTM Figure 3. Primary decomposition (PD) of the turbulence energy: the energy graphs of turbulent flow field for the situation assumed within the CTM and for the situation corresponding to (5). vk and vR , (7) explaining the gyrocity and the spin as the characteristics of velocity fluctuation constituent v only. Using (1), (4)-(7) we have for K and2 K 0 K KK , (8) 0 22 K KK (9) and 0 21 0 K KK, (10) where 1 2 K Μ, (11) 0 21 2 K vR vk (12) and 01 2 K vR vk . (13) Figure 4 outlines the situation corresponding to (5), (8)- (10) as an extension of the situation shown in Figure 3 for the energy of average flow representing just one source of turbulence energy. Notice that: (a) the energies 1 K and 0 2 K characterize the mo- tions of different scales of the same order while K and 0 2 K characterize the motions of the same scale of different order; (b) the decomposition of into the sum of 1 and 2, realizing the energy transfer from the average flow to the turbulence cons tituents of differen t orde r, eviden ce about the presence of two types of turbulent viscosity against just one viscosity within the CTM; Q Q Q (c) the nature of the work 1, connecting the transla- tory degrees of freedom of medium motion (realised in the form of the average flow) and its rotational degrees of freedom (realized in the form of rotation characterized by the gyrocity and the sp in), specifies an ad ditional vis- cosity as related to the antisymmetric constituent of the Q ith R standing for the (random) arm of the moment. Let us note, that ss v is statistically independent fm k (and f oro rom a R ), the expressions (6) can be written also as Copyright © 2013 SciRes. WJM ![]() J. HEINLOO 227 Q 0 2 K PD U 1 K 2 K u K 0 K Q 1 Q Q 21 QQQ K Q Secondary decomposition Figure 4. Secondary decomposition of turbulence energy: the energy graphs corresponding to the PD and to the secondary decomposition. turbulent stress tensor, which abolishes the notion of “evident symmetry” of the turb ulent stress tensor hold ing within the CTM; (d) for the cascading character of energy transfer the work vanishes and Figure 4 explains the role of the work in transforming the motion organization quality to the form allowing its reception on the level of small-scale turbulence constituent. (For a more detailed discussion of the specifics of the cascading process con- sider [24-26].) 2 Q Q (e) finally, all representations (4), (8)-(10) are direct corollaries of the adopted specification of the applied averaging and of definitio ns (6) (or (7)) while the energy transfer directions indicated in Figure 4 correspond to a typical but not to the only possib le situation. 4. The Setup of Description of Turbulent Flows The fundamental inference from definitions (6) (or (7)) is that the turbulent media is related to the class of mi- cropolar fluids [27-33]. The relation suggests the inter- connection of the gyrocity and the spin M by 2 M, (14) where defines the characteristic average scale of mo- tion, and delegates the description of motion to the sys- tem of two equations—the Reynolds equation (with the asymmetric tensor of turbulent stresses) and the equation for the spin . M Referring for the details of the setup of description of turbulent medi a with th e non-v an ish ing sp in to [9 ,10 ], we first accent here on the inherent to this description asym- metry of turbulent stresses—th e most conflicting point in the relation between of the CTM and the PCTM—start- ing from the expression for the dual vector to the anti- symmetric constituent of turbulent stresses kkij ij e , where kij denote the components of the Levi-Civita tensor, expressed as [9] e ,kkijsij evvR Denoting the components of the velocity fluctuation constituent along R as , j sjs vvR R from (15) we have kkij evv Rj i , (16) or in the vector form σ R vv . (17) Accounting for (4) and th e perpendicularity of v and we have from (17), that R σ R vv. (18) Expression (18) explains the an tisymmetric constitu ent of stresses describing the average momentum flux in direction of R either accelerating of decelerating the eddy rotation. Notice, that the velocity fluctuation con- stituent v, playing a crucial role in definitions of and , does not contribute to . The second accent concerns the work in Figure 4, represen ted in terms Mσ 1 Q of as σ1 Q σω, where 1 2 ωu 1 2 ωu is the vorticity. For the relation of closure for in the form σ σ4 () ω [9,10], where denotes the coefficient of turbulence rotational viscosity, it is ev ident that, dependent on the relative values of and ω, the work 1 may be eith er positive or nega tive, i.e. the me- dium rotational viscosity manages to explain the eddy-to- mean energy transfer without introduction of notion of “negative viscosity” [34] or without ascribing the actual 3D nature of turbulence with 2D properties. The third accent is related to the effect of rotation of frame on the medium turbulence, which, though not influencing , influences 1. The latter explains the frame rotation as a potential cause of th e eddy-to-mean energy conversion. Q σ Q 5. Discussion The PCTM realizes a modification of the TM setup originating from complementation of characterization of the motion states in the infinitesimal surroundings of the flow-field points by the curvatur e of the velocity fluctua- tion streamlines passing these points. Th e modification is undertaken to distinguish the flow field states in the in- finitesimal surroundings of the flow field points depend- ent on the curvature of the velocity fluctuation stream- lines passing these points. The necessity for the comple- mentation is one implication of critical analysis of the situation in the TM from the point of view of the wid- ened physical-historical background of the turbulence problem specified as the PDT [11]. The analysis em- braces the CTM together with some ideas incompatible with the CTM. Within these ideas the leading positions belong to the RK conception about the cascading eddy structure of turbulence and to the idea about the turbulent media pertaining to the class of micropolar fluids [19-21] s (15) Copyright © 2013 SciRes. WJM ![]() J. HEINLOO 228 (as well as to the related to it earlier idea of G. Mattioli [18], first suggesting the inclusion of the equation of moment-of-momentum to the setup of description of tur- bulent flows). The analysis displays the statement of the CTM about the evident symmetry of the turbulent stress tensor erring against the principles of continuum me- chanics [15], relating the solution of the symmetry prop- erties of the stress tensor to the context of specification of the medium internal rotational degrees of freedom. Within the shortcomings of th e CTM note also its inabil- ity to propose ph ysically correct explanation to the eddy- to-mean energy conversion, explained within the PCTM as the act of turbulence rotational viscosity neglected within the CTM. The CTM also does not distinguish the turbulence properties in rotating and non-rotating frames which by now is verified observationally. Let us underline that the PCTM does not “discover” the additional (rotational) viscosity of turbulence—this type of turbulence viscosity has been foreseen and de- scribed in a sufficiently complete form by the RK con- ception—but merely removes the obstacle from the ex- plicit inclusion of this fundamental property of turbu- lence into the setup of the TM. Let us highlight also, that applying all classical motion integrals—of momentum, of moment-of-momentum and of energy—the PCTM formulates the turbulence description in mechanically closed form and as such completes the formulation of the TM. We conclude the comments on the PCTM referring to the paper [35], which utilized the data available within the Global Drifter Program to estimate the gyrocity and the spin immediately from observations. The estimated gyrocity and spin provide the grounding declaration of the PCTM about the non-vanishing gyrocity and spin of the turbulent flow with the sense of experimental fact. Finally, the PDT [11] postulates the conditions of for- mation of probability distribution properties of momen- tary states of motion determined as the state of motion fixed in terms of the TM. These conditions are specified within the CTM and within the PCTM differently. The commented role of the TM is emphasized here to stress the scientific merit of the TM wider than a particular turbulence description in average terms. 6. Conclusion The PCTM mandates a critical analysis of the results following from the CTM. It also mandates the planning of new tasks and research projects from the position of the PCTM. 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