OE44165 Sediment transport in dredging engineering โช Dr. G. H. Keetels 2 October 2023 OE44165 AdvectionDiffusion Dr. G. H. Keetels Advection-diffusion why important? Governing equation for (fine) sediment transport Applications: • Environmental dispersion • Dredging/Turbidity plumes • Channel flow • Sediment transport along underwater slopes • Hopper sedimentation • Breaching, remember from last lecture Source: ESA (near Rome) What do we mean with fine sediment? St=drag time scale / eddy turnover time flow Fine means, St<<1 Particles follow turbulent eddy We can ignore inertia of particles Learning objective By the end of this lecture, the student will be able to 1. Describe the different terms in the advection-diffusion equation 2. Apply the Rouse distribution 3. Discuss the limitations of this approach East Y West Basic derivation: consider a control volume ΔX X ΔY Y ๐ค East ๐ข๐ West Basic derivation: consider a control volume ๐๐ข๐ ๐ข๐ ๐ค + Δx ๐๐ฅ X ๐ข is the x-velocity of the particles [m/s] (note m3/m2=m, so volume flux per area) c is concentration in [kg/m3] Basic balance ๐๐ Δ๐ฅΔ๐ฆΔ๐ก = uc ๐๐ก Total change [kg] Since ๐ข๐ ๐ธ W Δ๐ฆΔ๐ก − ๐ข๐ ๐ธ ΔyΔ๐ก = Flux West – Flux East ๐๐ข๐ = ๐ข๐ ๐ค + Δx ๐๐ฅ It follows that ๐๐ ๐๐ข๐ + =0 ๐๐ก ๐๐ฅ Change in time + Change due to advection=0 Extension to 3D ๐๐ ๐๐ข๐ ๐๐ฃ๐ ๐๐ค๐ + + + =0 ๐๐ก ๐๐ฅ ๐๐ฆ ๐๐ง Example laminar flow โช (2) Fluid Reversibility part 1 - YouTube In turbulent flow ๐ข Reynolds decomposition: ๐ข = ๐ข + ๐ข′ ๐ข′ ๐ข ๐ = ๐ + ๐′ ๐ก Instantaneous = mean + fluctuation Mean could very slowly change in time compared to fluctuations Also possible to consider ensemble averages (repeating experiments) Note that However ๐ข = ๐ข + ๐ข’ ๐ข′2 ≠ 0 so ๐ข’=0 Variance and covariance ๐ข Note that ๐ข = ๐ข + ๐ข’ However, the variance Also, the covariance is not necessarily zero! ๐ข′ ๐′ ≠0 so ๐ข′2 ๐ข′ ๐ข’=0 ≠0 ๐ข ๐ก ๐ ๐′ ๐ ๐ก Applying Reynolds decomposition ๐๐ ๐๐ข๐ + =0 ๐๐ก ๐๐ฅ Gives ๐๐าง ๐๐ขเดค ๐าง ๐๐ข′ ๐′ + + =0 ๐๐ก ๐๐ฅ ๐๐ฅ Closure problem: we want to solve for mean values, but we need to provide the covariance between u an c We could derive an evolution equation for the covariance, but Then we need to solve for triple correlations and so forth Solution: can we express the covariance in terms of the mean variables? Change of mean concentration = advection of mean concentration by mean velocity +turbulent transport Eddy diffusivity concept ๐ข′ ๐′ ๐๐าง = −๐ ๐๐ฅ ๐ข′ ๐′ > 0 ๐ข′ < 0 , ๐ ′ < 0 ๐ข′ > 0, ๐ ′ > 0 ๐ Turbulent diffusivity [m2/s] Length scale x velocity scale of eddy ๐๐าง <0 ๐๐ฅ Finally, we arrive at ๐๐าง ๐๐ขเดค ๐าง ๐ ๐๐าง + = ๐ ๐๐ก ๐๐ฅ ๐๐ฅ ๐๐ฅ Change in time+advection=turbulent diffusion Usually, the bar is omitted for the sake of simplicity ๐๐ ๐๐ข๐ ๐ ๐๐ + = ๐ ๐๐ก ๐๐ฅ ๐๐ฅ ๐๐ฅ Basic solution for uniform velocity and diffusivity Consider periodic boundary conditions at x=0 and x=L and initial condition gives Translation of initial condition x decaying function in time, faster for larger wave numbers Application to channel flow ๐ข๐ ๐ ๐ฆ ๐ฅ ๐ป How can we estimate the diffusivity? ๐ ๐ข เดค ๐๐ข′ ๐ค′ = −๐๐ ๐ ๐๐ฆ Eddy viscosity [m2/s] The same eddies that transport momentum also transport the particles ๐๐ ๐= ๐ Turbulent Schmidt-Prandtl number Typical profile of eddy viscosity in channel Friction velocity ๐ฆ ๐๐ = ๐ ๐ข∗ ๐ฆ(1 − ) ๐ป Von Kármán constant (=0.4) ๐ข∗ = ๐/๐ ๐ = ๐๐ข′ ๐ค′ Advection-diffusion in vertical direction ๐๐ ๐๐ฃ๐ ๐ ๐๐ + = ๐ ๐๐ก ๐๐ฆ ๐๐ฆ ๐๐ฆ Consider stationary concentration profile ๐๐ ๐ฃ๐ = ๐ ๐๐ฆ And mean vertical velocity of particles equals terminal settling velocity in stagnant water ๐ฃ๐∞ ๐ ๐๐ =๐ ๐๐ฆ Solution Rouse profile ๐ ๐ป−๐ฆ ๐ฆ๐ = โ ๐๐ ๐ฆ ๐ป − ๐ฆ๐ ๐ฃ๐∞ ๐ ๐= ๐ ๐ข∗ ๐ฆ๐ ๐ ๐ฆ [-] ๐ป Rouse number Reference level ๐ [-] ๐๐ Limitations of Rouse I Greimann, B. P., & Holly Jr, F. M. (2001). Two-phase flow analysis of concentration profiles. Journal of hydraulic Engineering, 127(9), 753-762. Limitations of Rouse II More advanced two-phase flow analysis is essential for these cases!! Why limited? These deviation are controlled by the Stokes number ๐๐ ๐ข ∗ ๐๐ก = ๐ป St=drag time scale / eddy turnover time flow Learning objective By the end of this lecture, the student will be able to 1. Describe the different terms in the advection-diffusion equation 2. Apply the Rouse distribution 3. Discuss the limitations of this approach