Abstract
This report presents an efficient, higher order method for fast calculation of an ensemble of solutions of the Navier–Stokes equations. We give a complete stability and convergence analysis of the method for laminar flows and an extension to turbulent flows. For high Reynolds number flows, we propose and analyze an eddy viscosity model with a recent reparameterization of the mixing length. This turbulence model depends on an ensemble mean compatible with the higher order method. We show the turbulence model has superior stability, also demonstrated in numerical tests. We also give tests showing the potential of the new method for exploring flow problems to compute turbulence intensities, effective Lyapunov exponents, windows of predictability and to verify the selective decay principle.
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The research of the author described herein was partially supported by NSF Grant DMS 1216465 and Air Force Grant FA 9550-12-1-0191.
Appendix: Proof of Theorem 3
Appendix: Proof of Theorem 3
The true solution\((u_{j}, p_j)\) of the NSE satisfies
where \(Intp\left( u_{j}^{n+1};v_{h}\right) \) is defined as
Let \(e_{j}^{n}=u_{j}^{n}-u_{j,h}^{n}=\left( u_{j}^{n}-I_{h} u_{j}^{n}\right) +\left( I_{h} u_{j}^{n}-u_{j,h}^{n}\right) =\eta _{j}^{n}+\xi _{j,h}^{n}\), where \(I_{h} u_{j}^{n} \in V_{h} \) is an interpolant of \(u_{j}^{n}\) in \(V_{h}\). Subtracting (5.1) from (8.1) gives
Set \(v_{h}=\xi _{j,h}^{n+1}\in V_{h}\), and rearrange the nonlinear terms, then we have
Now we bound the right hand side of Eq. (8.3). First, for the nonlinear term, adding and subtracting \(b^{*}(u_{j}^{n+1},u_{j,h}^{n+1} ,\xi _{j,h}^{n+1})\), \(b^{*}(2u^{n}_j-u^{n-1}_j, u_{j,h}^{n+1}, \xi _{j,h}^{n+1})\) and \(b^{*}(u_{j,h}^{\prime n},2u_{j}^{n}-u_{j}^{n-1}-u_j^{n+1},\xi _{j,h}^{n+1})\), we have
We estimate the nonlinear terms using (2.2), (2.3) and Young’s inequality as follows.
Similarly,
By skew symmetry and inequalities (2.4) and (2.5), we have
Next, consider the pressure term. Since \(\xi _{j,h}^{n+1}\in V_{h}\) we have
The other terms, are bounded as
Finally,
Combining, we now have the following inequality
Under (5.2), \((\frac{\nu }{16}-\frac{C_e}{16}\frac{\Delta t}{h}\left\| \nabla u_{j,h}^{\prime n} \right\| ^2)\) is nonnegative and thus can be eliminated from the LHS of (8.17). We sum (8.17) from \(n=1\) to \(n=N-1\), multiply through by \(2\Delta t\) and apply interpolation inequalities and the discrete Gronwall inequality (Girault and Raviart [17, p. 176]). This yields
Using triangle inequality on the error and absorbing constants into a new constant \(C\), we obtain Theorem 3 and Corollary 1.
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Jiang, N. A Higher Order Ensemble Simulation Algorithm for Fluid Flows. J Sci Comput 64, 264–288 (2015). https://doi.org/10.1007/s10915-014-9932-z
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DOI: https://doi.org/10.1007/s10915-014-9932-z