Eddy resolving simulations in aerospace - Invited paper (Numerical Fluid 2014)

The future use of eddy resolving simulations (ERS) such as Large Eddy Simulation (LES), Direct Numerical Simulation (DNS) and related approaches in aerospace is explored. The turbulence modeling requirements with respect to aeroengines and aircraft is contrasted. For the latter, higher Reynolds numbers are more prevalent and this especially gives rise to the need for the hybridization of ERS methods with Reynolds Averaged Navier-Stokes (RANS) approaches. Zones where future use of pure ERS methods is now possible and those where hybridizations with RANS will be needed is outlined. The major focus is the aeroengine for which the component scales are much smaller. This gives rise to generally more benign Reynolds numbers. The use of eddy resolving methods in a wide range of zones in an aeroengine is discussed and the potential benefits and also cost drawbacks with such approaches noted. The tension when using such computationally intensive calculations in an area where the coupling of components and even the airframe and engine is becoming increasingly important is explored. Also, the numerical methods and meshing requirements are considered and the implications of ERS methods for future numerical algorithms. It is postulated that such simulations are ready now for niche uses in industry. However, to perform the scale of simulations that industry requires, to meet pressing environmental needs, challenges remain. For example, there is the need to develop optimal numerical methods that both map to the accuracy requirements for ERS and also future computer architectures.

[1]  Josep Sarrate,et al.  Proceedings of the 22nd International Meshing Roundtable , 2014 .

[2]  Russell M. Cummings,et al.  HIGH RESOLUTION TURBULENCE TREATMENT OF F/A-18 TAIL BUFFET , 2004 .

[3]  S. Deck Recent improvements in the Zonal Detached Eddy Simulation (ZDES) formulation , 2012 .

[4]  Fernando F. Grinstein,et al.  On MILES based on flux‐limiting algorithms , 2005 .

[5]  Sébastien Deck,et al.  Zonal Detached Eddy Simulation of a Controlled Propulsive Jet , 2007 .

[6]  P. Roe Approximate Riemann Solvers, Parameter Vectors, and Difference Schemes , 1997 .

[7]  Paul G. Tucker,et al.  Unsteady Computational Fluid Dynamics in Aeronautics , 2013 .

[8]  M. Goody Empirical Spectral Model of Surface Pressure Fluctuations , 2004 .

[9]  Paul G. Tucker,et al.  Investigation of Wake Induced Transition in Low-Pressure Turbines Using Large Eddy Simulation , 2013 .

[10]  William N. Dawes Detached-eddy simulation of transonic flow past a fan-blade section , 2009 .

[11]  Paul G. Tucker,et al.  Computation of unsteady turbomachinery flows: Part 1Progress and challenges , 2011 .

[12]  P. Spalart Strategies for turbulence modelling and simulations , 2000 .

[13]  Paul G. Tucker,et al.  Trends in turbomachinery turbulence treatments , 2013 .

[14]  S. Ghosal An Analysis of Numerical Errors in Large-Eddy Simulations of Turbulence , 1996 .

[15]  M. E. Goldstein,et al.  A generalized acoustic analogy , 2003, Journal of Fluid Mechanics.

[16]  S. Zahrai,et al.  On anisotropic subgrid modeling , 1995 .

[17]  Charles Meneveau,et al.  Generalized Smagorinsky model for anisotropic grids , 1993 .

[18]  Rainald Löhner,et al.  Handling tens of thousands of cores with industrial/legacy codes: Approaches, implementation and timings , 2013 .

[19]  Gorazd Medic,et al.  Large-Eddy Simulation of Flow in a Low-Pressure Turbine Cascade , 2012 .

[20]  Antony Jameson,et al.  Formulation of Kinetic Energy Preserving Conservative Schemes for Gas Dynamics and Direct Numerical Simulation of One-Dimensional Viscous Compressible Flow in a Shock Tube Using Entropy and Kinetic Energy Preserving Schemes , 2008, J. Sci. Comput..

[21]  K. Kudar,et al.  A deterministic model for the sublayer streaks in turbulent boundary layers for application to flow control , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[22]  Zaib Ali,et al.  Multiblock Structured Mesh Generation for Turbomachinery Flows , 2013, IMR.

[23]  Chenglong Wang,et al.  Internal Cooling of Blades and Vanes on Gas Turbine , 2013 .

[24]  Raúl Sánchez,et al.  Mechanisms for the convergence of time-parallelized, parareal turbulent plasma simulations , 2012, J. Comput. Phys..

[25]  M. Mani,et al.  Hybrid Turbulence Models for Unsteady Flow Simulation , 2004 .

[26]  James M. M. Place,et al.  Three-dimensional flow in core compressors. , 1997 .

[27]  James Tyacke,et al.  Future Use of Large Eddy Simulation in Aeroengines , 2014 .

[28]  S. Pope Ten questions concerning the large-eddy simulation of turbulent flows , 2004 .

[29]  Sukumar Chakravarthy,et al.  Smart Sub-Grid-Scale Models for LES and Hybrid RANS/LES , 2011 .

[30]  Lars-Erik Eriksson,et al.  Investigation of an Isothermal Mach 0.75 Jet and its Radiated sound Using Large-Eddy Simulation and Kirchhoff Surface Integration , 2005 .

[31]  Ali Rozati,et al.  Large Eddy Simulation of Leading Edge Film Cooling: Flow Physics, Heat Transfer, and Syngas Ash Deposition , 2007 .

[32]  P. Spalart Comments on the feasibility of LES for wings, and on a hybrid RANS/LES approach , 1997 .

[33]  James Tyacke,et al.  Hybrid LES Approach for Practical Turbomachinery Flows—Part II: Further Applications , 2012 .

[34]  Dean R. Chapman,et al.  Computational Aerodynamics Development and Outlook , 1979 .

[35]  Pierre Sagaut,et al.  Use of Hybrid RANS–LES for Acoustic Source Predictions , 2007 .

[36]  M B Giles,et al.  Trends in high-performance computing for engineering calculations , 2014, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[37]  Kai Schneider,et al.  Coherent Vortex Simulation (CVS), A Semi-Deterministic Turbulence Model Using Wavelets , 2001 .