Abstract
The turbulence in a fluid flow is characterized by irregular and chaotic motion of fluid particles. It is a complex phenomenon. In this chapter, the turbulence characteristics are discussed with reference to flow over a sediment bed. An application of Reynolds decomposition and time-averaging to the Navier–Stokes equations yields the Reynolds-averaged Navier–Stokes (RANS) equations, containing terms of Reynolds stresses. The RANS equations along with the time-averaged continuity equation are the main equations to analyze turbulent flow. The classical turbulence theories were proposed by Prandtl and von Kármán. Prandtl simulated the momentum exchange on a macro-scale to explain the mixing phenomenon in a turbulent flow establishing the mixing length theory, while von Kármán’s relationship for the mixing length is based on the similarity hypothesis. The velocity distribution in open-channel flow follows the linear law in viscous sublayer, the logarithmic law in turbulent wall shear layer, and the wake law in the outer layer. The determination of bed shear stress is always a challenging task. Different methods for the determination of bed shear stress are discussed. Flow in a narrow channel exhibits strong turbulence-induced secondary currents, and as a result, the maximum velocity appears below the free surface, known as dip phenomenon. Isotropic turbulence theory deals with the turbulent kinetic energy (TKE) transfer from the large-scale motions to smaller-scale motions until attaining an adequately small length scale so that the fluid molecular viscosity can dissipate the TKE into heat. Anisotropy in turbulence is analyzed by the anisotropic invariant mapping (AIM) and the anisotropy invariant function to quantify the degree of the departure from isotropy. Higher-order correlations are given by skewness and kurtosis of velocity fluctuations, TKE flux, and budget. This chapter also includes most of the modern development of turbulent phenomena, such as coherent structures and burst phenomena and double-averaging of heterogeneous flow over gravel beds.
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Notes
- 1.
Laminar flow changes over to turbulent flow, if the Reynolds number Re [=UD/υ for pipe flow and U(4R b)/υ for open-channel flow] is greater than 2000. Here, U is the average flow velocity, D is the pipe diameter, υ is the coefficient of kinematic viscosity, and R b is the hydraulic radius.
- 2.
Eddies can be defined as swirls of fluid parcels with highly irregular shapes and wide range of sizes that are in a continual state of generation, evolution, and decay, as a cyclic process (Middleton and Southard 1984).
- 3.
The velocity at level 1 is expressed as \( \bar{u}\left( {z + l} \right) \, = \bar{u}\left( z \right) \, + {\text{ d}}\bar{u} \). If \( \bar{u} \)(z + l) is expanded in a Taylor series up to the linear term only, then \( {\text d}\bar{u} = \bar{u}(z + l) - \bar{u}(z) = l{\text d}\bar{u}/dz \). Hence, the velocity at level 1 is given by ū + ldū/dz. However, velocity at level 2 is \( \bar{u} \).
- 4.
The modified mixing length model of van Driest (1956) that incorporates the viscous effect is as follows:
\( l = \kappa z\varGamma (\tilde{z}^{ + } )\quad\wedge\quad \varGamma (\tilde{z}^{ + } ) = 1 - \exp \left( {\frac{{\tilde{z}^{ + } }}{{B_{\text{d}} }}} \right)\quad\vee\quad{\tilde{z}}^{ + } = \frac{{zu_{ * } }}{\upsilon } \)
where \( \varGamma \left( {\tilde{z}^{ + } } \right) \) is the van Driest damping function and B d is the damping factor.
- 5.
More explicitly, the flow regimes are called (1) hydraulically smooth flow regime, (2) hydraulically rough flow regime, and (3) hydraulically transitional flow regime of turbulent flow.
- 6.
The forms of the log-wake law for smooth and rough flows are as follows:
\( \begin{aligned} {\text{Smooth flow:}}\,u^{ + } & = \left( {\frac{1}{\kappa }\ln \tilde{z}^{ + } + \left. B \right|_{\text{smooth}} } \right) + \frac{2\varPi }{\kappa }\sin^{2} \left( {\frac{\pi }{2}\tilde{z}} \right) \\ {\text{Rough flow:}}\,u^{ + } & = \left( {\frac{1}{\kappa }\ln \tilde{z}^{ + } + \left. B \right|_{\text{rough}} } \right) + \frac{2\varPi }{\kappa }\sin^{2} \left( {\frac{\pi }{2}\tilde{z}} \right). \\ \end{aligned} \)
- 7.
The Colebrook–White equation is an implicit equation. An explicit form of the Colebrook–White equation was given by Haaland (1983). It is as follows:
$$ \frac{1}{{\lambda_{\text{D}}^{0.5} }} = - 0.782\ln \left[ {\left( {\frac{{k_{\text{s}} P}}{14.8A}} \right)^{1.1} \,+\,\frac{6.9}{Re}} \right] .$$ - 8.
The following transformation then applies:
$$ S_{uu} (k_{\text{w}} ) = \frac{{\bar{u}}}{2\pi }F(f) \quad\wedge \quad k_{\text{w}} = 2\pi \frac{f}{{\bar{u}}}. $$ - 9.
The TKE budget equation in tensor form is as follows:
$$ \underbrace {{\bar{u}_{j} \frac{\partial k}{{\partial x_{j} }}}}_{\text{Advection}} = - \underbrace {{\frac{1}{\rho } \cdot \frac{{\partial (\overline{{p^{\prime}u^{\prime}_{i} }} )}}{{\partial x_{i} }}}}_{{p_{\text{D}} }} - \underbrace {{\frac{{\partial (\overline{{ku^{\prime}_{i} }} )}}{{\partial x_{j} }}}}_{{t_{\text{D}} }} + \underbrace {{\upsilon \frac{{\partial^{2} k}}{{\partial x_{j}^{2} }}}}_{{v_{\text{D}} }} - \underbrace {{\upsilon \overline{{\frac{{\partial u^{\prime}_{i} }}{{\partial x_{j} }} \cdot \frac{{\partial u^{\prime}_{i} }}{{\partial x_{j} }}}} }}_{\varepsilon } + \underbrace {{\left( { - \overline{{u^{\prime}_{i} u^{\prime}_{j} }} \frac{{\partial \bar{u}_{i} }}{{\partial x_{j} }}} \right)}}_{{t_{\text{P}} }} .$$
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Dey, S. (2014). Turbulence in Open-Channel Flows. In: Fluvial Hydrodynamics. GeoPlanet: Earth and Planetary Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19062-9_3
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