The continuous adjoint approach to the k–ω SST turbulence model with applications in shape optimization

作者: I.S. Kavvadias , E.M. Papoutsis-Kiachagias , G. Dimitrakopoulos , K.C. Giannakoglou

DOI: 10.1080/0305215X.2014.979816

关键词:

摘要: In this article, the gradient of aerodynamic objective functions with respect to design variables, in problems governed by incompressible Navier–Stokes equations coupled k–ω SST turbulence model, is computed using continuous adjoint method, for first time. Shape optimization minimizing drag, external aerodynamics (flows around isolated airfoils), or viscous losses internal (duct flows) are considered. Sensitivity derivatives proposed method compared those finite differences a variant based on frequently used assumption frozen turbulence; latter proves need differentiating model. Geometries produced runs performed sensitivities and ‘frozen turbulence’ also quantify gain from formulating solving model equations.

参考文章(24)
Andreas Griewank, Andrea Walther, Algorithm 799: revolve: an implementation of checkpointing for the reverse or adjoint mode of computational differentiation ACM Transactions on Mathematical Software. ,vol. 26, pp. 19- 45 ,(2000) , 10.1145/347837.347846
W. Kyle Anderson, Daryl L. Bonhaus, Airfoil Design on Unstructured Grids for Turbulent Flows AIAA Journal. ,vol. 37, pp. 185- 191 ,(1999) , 10.2514/2.712
M. Towara, U. Naumann, A Discrete Adjoint Model for OpenFOAM international conference on conceptual structures. ,vol. 18, pp. 429- 438 ,(2013) , 10.1016/J.PROCS.2013.05.206
F. R. Menter, Two-equation eddy-viscosity turbulence models for engineering applications AIAA Journal. ,vol. 32, pp. 1598- 1605 ,(1994) , 10.2514/3.12149
Antony Jameson, Aerodynamic design via control theory Journal of Scientific Computing. ,vol. 3, pp. 233- 260 ,(1988) , 10.1007/BF01061285
E.M. Papoutsis-Kiachagias, A.S. Zymaris, I.S. Kavvadias, D.I. Papadimitriou, K.C. Giannakoglou, The continuous adjoint approach to the k-ε turbulence model for shape optimization and optimal active control of turbulent flows Engineering Optimization. ,vol. 47, pp. 370- 389 ,(2015) , 10.1080/0305215X.2014.892595
Ralf Hartmann, Joachim Held, Tobias Leicht, Adjoint-based error estimation and adaptive mesh refinement for the RANS and k–ω turbulence model equations Journal of Computational Physics. ,vol. 230, pp. 4268- 4284 ,(2011) , 10.1016/J.JCP.2010.10.026
Byung Joon Lee, Chongam Kim, Automated design methodology of turbulent internal flow using discrete adjoint formulation Aerospace Science and Technology. ,vol. 11, pp. 163- 173 ,(2007) , 10.1016/J.AST.2006.12.001
S.V Patankar, D.B Spalding, A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows International Journal of Heat and Mass Transfer. ,vol. 15, pp. 1787- 1806 ,(1972) , 10.1016/0017-9310(72)90054-3