Abstract
For a wide range of applications, a better understanding of the physical mechanisms involved during the development of hydrodynamic instabilities at interfaces separating two gases is desired. We are interested in flows that contain both turbulence and shock waves, and that are characterized by a high Reynolds number. Current computational power does not allow direct numerical simulation of these flows and then only a large eddy simulation (LES) is possible. This work aims at developing a numerical scheme for compressible LES. Turbulence is better simulated when the numerical method is not dissipative and a high-order of accuracy is recommended for under-resolved simulations. However, the presence of shocks implies the use of a shock-capturing type scheme to stabilize the solution, with the risk of (eventually) overwhelming the small scales of the solution. A compromise can be obtained by coupling a high-order central finite difference scheme for turbulent regions with a WENO scheme for discontinuous ones. To reduce instabilities in non-dissipative LES of turbulent flows, the convective operators are expressed using a skew-symmetric like form. The semi-discretized problem in space should be carefully constructed to ensure the local preservation of kinetic energy by convection. By considering a symmetric stencils collection for the WENO flux reconstruction, the final hybrid flux can be expressed as the sum of the non-dissipative term and a dissipative one. The solution smoothness is estimated component-wise during the WENO reconstruction in the local characteristic space, to avoid the use of excessive numerical dissipation.
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References
Balsara, D.S., Shu, C.-W.: Monotonicity preserving weighted essentially non oscillatory schemes with increasingly high order of accuracy. J. Comput. Phys. 160, 405–452 (2000)
Darian, H.M., Esfahanian, V., Hejranfar, K.: A shock-detecting sensor for filtering of high-order compact finite difference schemes. J. Comput. Phys. 230, 494–514 (2011)
Ducros, F., Ferrand, V., Nicoud, F., Weber, C., Darracq, D., Gacherieu, C., Poinsot, T.: Large eddy simulation of the Shock-Turbulence interaction. J. Comput. Phys. 152, 517–549 (1999)
Ducros, F., Laporte, F., Soulères, T., Guinot, V., Moinat, P., Caruelle, B.: High-order fluxes for conservative skew-symmetric-like schemes in structured meshes: application to compressible flows. J. Comput. Phys. 161, 114–139 (2000)
Hill, D.J., Pullin, D.I.: Hybrid tuned center-difference-WENO method for larfe eddy simulations in the presence of strong shocks. J. Comput. Phys. 194, 435–450 (2004)
Hill, D.J., Pantano, C., Pullin, D.I.: Larde-eddy simulation and multiscale modeling of a Richtmyer-Meshkov instability with reshock. J. Fluid Mech. 557, 29–61 (2006)
Honein, A., Moin, P.: Higher entropy conservation and numerical stability of compressible turbulence simulations. J. Comput. Phys. 201, 531–545 (2004)
Hu, X.Y., Wang, Q., Adams, N.A.: An adaptive central-upwind weighted essentially non-oscillatory scheme. J. Comput. Phys. 229, 8952–8965 (2010)
Jiang, G.S., Shu, C.-W.: Efficient implementation of the weighted ENO schemes. J. Comput. Phys. 126, 202–228 (1996)
Johnsen, E., Larsson, J., Bhagatwala, A.V., Cabot, W.H., Moin, P., Olson, B.J., Rawat, P.S., Shankar, S.K., Sjogreen, B., Yee, H.C., Zhong, X., Lele, S.K.: Assessment of high-resolution methods for numerical simulations of compressible turbulence with shock waves. J. Comput. Phys. 229, 1213–1237 (2009)
Kennedy, C.A., Gruber, A.: Reduced aliasing formulations of the convective terms within the Navier–Stokes equations for a compressible fluid. J. Comput. Phys. 227, 1676–1700 (2008)
Kok, J.C.: A high-order low-dispersion symmetry-presering finite-volume method for compressible flow on curvilinear grids. J. Comput. Phys. 18, 6811–6832 (2009)
Kravchenko, A.G., Moin, P.: On the effect of numerical errors in large eddy simulations of turbulent flows. J. Comput. Phys. 131, 310–322 (1997)
Lee, S., Lele, S.K., Moin, P.: Eddy shocklets in decaying compressible turbulence. Phys. Fluids A 3, 657 (1991)
Li, G., Qiu, J.: Hybrid weighted essentially non-oscillatory schemes with different indicators. J. Comput. Phys. 229, 8105–8129 (2010)
MartÃn, M.P., Taylor, E.M., Wu, M., Weirs, V.G.: A bandwidth-optimized WENO scheme for the effective direct numerical simulation of compressible turbulence. J. Comput. Phys. 220, 270–289 (2006)
Morinishi, Y.: Skew-symmetric form of convective terms and fully conservative finite difference schemes for variable density low-mach number flows. J. Comput. Phys. 229, 276–300 (2010)
Pirozzoli, S.: Generalized conservative approximations of split convective derivative operators. J. Comput. Phys. 229, 7180–7190 (2010)
Shu, C.-W., Osher, S.: Efficient implementation of essentially non-oscillatory shock-capturing schemes. J. Comput. Phys. 77, 439–471 (1988)
Tam, C.K.W., Webb, J.C.: Dispersion-relation-preserving finite difference schemes for computational acoustics. J. Comput. Phys. 107, 262–281 (1993)
Taylor, E.M., Wu, M., MartÃn, M.P.: Optimization of nonlinear error for weighted essentially non-oscillatory methods in direct numerical simulations of compressible turbulence. J. Comput. Phys. 223, 223 (2007)
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Burbeau-Augoula, A. (2014). A Hybrid Finite Difference-WENO Scheme for Large Eddy Simulation of Compressible Flows. In: Abgrall, R., Beaugendre, H., Congedo, P., Dobrzynski, C., Perrier, V., Ricchiuto, M. (eds) High Order Nonlinear Numerical Schemes for Evolutionary PDEs. Lecture Notes in Computational Science and Engineering, vol 99. Springer, Cham. https://doi.org/10.1007/978-3-319-05455-1_2
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DOI: https://doi.org/10.1007/978-3-319-05455-1_2
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