2,746 research outputs found

    A Model of a Turbulent Boundary Layer With a Non-Zero Pressure Gradient

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    According to a model of the turbulent boundary layer proposed by the authors, in the absence of external turbulence the intermediate region between the viscous sublayer and the external flow consists of two sharply separated self-similar structures. The velocity distribution in these structures is described by two different scaling laws. The mean velocity u in the region adjacent to the viscous sublayer is described by the previously obtained Reynolds-number-dependent scaling law Ο•=u/uβˆ—=AΞ·Ξ±\phi = u/u_*=A\eta^{\alpha}, A=13ln⁑ReΞ›+52A=\frac{1}{\sqrt{3}} \ln Re_{\Lambda}+ \frac 52, Ξ±=32ln⁑ReΞ›\alpha=\frac{3}{2\ln Re_{\Lambda}}, Ξ·=uβˆ—y/Ξ½\eta = u_* y/\nu. (Here uβˆ—u_* is the dynamic or friction velocity, y is the distance from the wall, Ξ½\nu the kinematic viscosity of the fluid, and the Reynolds number ReΞ›Re_{\Lambda} is well defined by the data) In the region adjacent to the external flow the scaling law is different: Ο•=BΞ·Ξ²\phi= B\eta^{\beta}. The power Ξ²\beta for zero-pressure-gradient boundary layers was found by processing various experimental data and is close (with some scatter) to 0.2. We show here that for non-zero-pressure-gradient boundary layers, the power Ξ²\beta is larger than 0.2 in the case of adverse pressure gradient and less than 0.2 for favourable pressure gradient. Similarity analysis suggests that both the coefficient B and the power Ξ²\beta depend on ReΞ›Re_{\Lambda} and on a new dimensionless parameter P proportional to the pressure gradient. Recent experimental data of Perry, Maru\v{s}i\'c and Jones (1)-(4) were analyzed and the results are in agreement with the model we propose.Comment: 10 pages, 9 figure

    The Characteristic Length Scale of the Intermediate Structure in Zero-Pressure-Gradient Boundary Layer Flow

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    In a turbulent boundary layer over a smooth flat plate with zero pressure gradient, the intermediate structure between the viscous sublayer and the free stream consists of two layers: one adjacent to the viscous sublayer and one adjacent to the free stream. When the level of turbulence in the free stream is low, the boundary between the two layers is sharp and both have a self-similar structure described by Reynolds-number-dependent scaling (power) laws. This structure introduces two length scales: one --- the wall region thickness --- determined by the sharp boundary between the two intermediate layers, the second determined by the condition that the velocity distribution in the first intermediate layer be the one common to all wall-bounded flows, and in particular coincide with the scaling law previously determined for pipe flows. Using recent experimental data we determine both these length scales and show that they are close. Our results disagree with the classical model of the "wake region".Comment: 11 pages, includes 2 tables and 3 figure

    A Note on the Intermediate Region in Turbulent Boundary Layers

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    We demonstrate that the processing of the experimental data for the average velocity profiles obtained by J. M. \"Osterlund (www.mesh.kth.se/∼\simjens/zpg/) presented in [1] was incorrect. Properly processed these data lead to the opposite conclusion: they confirm the Reynolds-number-dependent scaling law and disprove the conclusion that the flow in the intermediate (`overlap') region is Reynolds-number-independent.Comment: 8 pages, includes 1 table and 3 figures, broken web link in abstract remove

    A moving mesh finite element algorithm for fluid flow problems with moving boundaries

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    A moving mesh finite element method is proposed for the adaptive solution of second- and fourth-order moving boundary problems which exhibit scale invariance. The equations for the mesh movement are based upon the local application of a scale-invariant conservation principle incorporating a monitor function and have been successfully applied to problems in both one and two space dimensions. Examples are provided to show the performance of the proposed algorithm using a monitor function based upon arc-length

    Nonlinear Diffusion and Image Contour Enhancement

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    The theory of degenerate parabolic equations of the forms ut=(Ξ¦(ux))xandvt=(Ξ¦(v))xx u_t=(\Phi(u_x))_{x} \quad {\rm and} \quad v_{t}=(\Phi(v))_{xx} is used to analyze the process of contour enhancement in image processing, based on the evolution model of Sethian and Malladi. The problem is studied in the framework of nonlinear diffusion equations. It turns out that the standard initial-value problem solved in this theory does not fit the present application since it it does not produce image concentration. Due to the degenerate character of the diffusivity at high gradient values, a new free boundary problem with singular boundary data can be introduced, and it can be solved by means of a non-trivial problem transformation. The asymptotic convergence to a sharp contour is established and rates calculated.Comment: 29 pages, includes 6 figure

    On the existence and scaling of structure functions in turbulence according to the data

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    We sample a velocity field that has an inertial spectrum and a skewness that matches experimental data. In particular, we compute a self-consistent correction to the Kolmogorov exponent and find that for our model it is zero. We find that the higher order structure functions diverge for orders larger than a certain threshold, as theorized in some recent work. The significance of the results for the statistical theory of homogeneous turbulence is reviewed.Comment: 15 pages, 5 figures, to appear in PNA

    Does Fully-Developed Turbulence Exist? Reynolds Number Independence versus Asymptotic Covariance

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    By analogy with recent arguments concerning the mean velocity profile of wall-bounded turbulent shear flows, we suggest that there may exist corrections to the 2/3 law of Kolmogorov, which are proportional to (lnβ‘β€‰β„œ)βˆ’1(\ln\,\Re)^{-1} at large Re. Such corrections to K41 are the only ones permitted if one insists that the functional form of statistical averages at large Re be invariant under a natural redefinition of Re. The family of curves of the observed longitudinal structure function DLL(r,β„œ)D_{LL}(r, \Re) for different values of Re is bounded by an envelope. In one generic scenario, close to the envelope, DLL(r,β„œ)D_{LL}(r, \Re) is of the form assumed by Kolmogorov, with corrections of O((\lnRe)^{-2}). In an alternative generic scenario, both the Kolmogorov constant CKC_K and corrections to Kolmogorov's linear relation for the third order structure function DLLL(r)D_{LLL} (r) are proportional to (lnβ‘β€‰β„œ)βˆ’1(\ln\,\Re)^{-1}. Recent experimental data of Praskovsky and Oncley appear to show a definite dependence of CKC_K on Re, which if confirmed, would be consistent with the arguments given here.Comment: 13 Pages. Tex file and Postscript figure included in uufiles compressed format. Needs macro uiucmac.tex, available from cond-mat archive or from ftp://gijoe.mrl.uiuc.edu/pu
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