Abstract
In this paper, we present some examples of sensitivity analysis for flows modeled by the standard k–ε model of turbulence with wall functions. The flow and continuous sensitivity equations are solved using an adaptive finite element method. Our examples emphasize a number of applications of sensitivity analysis: identification of the most significant parameters, analysis of the flow model, assessing the influence of closure coefficients, calculation of nearby flows, and uncertainty analysis. The sensitivity parameters considered are closure coefficients of the turbulence model and constants appearing in the wall functions.
Similar content being viewed by others
Abbreviations
- SEM:
-
Sensitivity Equation Method
- RANS:
-
Reynolds-Averaged Navier–Stokes Equations
- a :
-
Design parameter
- C 1,C 2,C μ ,σ k ,σ ε :
-
k–ε model constants
- C f :
-
Skin friction coefficient
- d :
-
Imposed distance to the wall
- E :
-
Roughness parameter
- k :
-
Turbulent kinetic energy
- \(\mathcal{K}\) :
-
Natural logarithm of k
- L :
-
Reference length
- p :
-
Pressure
- P :
-
Production of turbulence
- Re:
-
Reynolds number
- s x :
-
Sensitivity of the variable x
- u :
-
Velocity
- u,v :
-
Velocity components
- u k :
-
Velocity scale based on k
- u ** :
-
Friction velocity τ w =ρ u ** u k
- x,y :
-
Cartesian coordinates
- y :
-
Distance to the wall
- ε :
-
Turbulent dissipation rate
- ℰ:
-
Natural logarithm of ε
- κ :
-
Kármán constant
- μ :
-
Viscosity
- μ t :
-
Eddy viscosity
- ρ :
-
Density
- τ w :
-
Wall shear stress
- t :
-
Tangent to the wall
- ′ :
-
Sensitivity (derivative)
- +:
-
Dimensionless (wall functions)
- T :
-
Transpose
References
Blackwell BF, Dowding KJ, Cochran RJ, Dobranich D (1998) Utilization of sensitivity coefficients to guide the design of a thermal battery. ASME IMECE 361:73–82
Borggaard J, Pelletier D (1998) Optimal shape design in forced convection using adaptive finite elements. In: 36th AIAA aerospace sciences meeting and exhibit, Reno, NV, January 1998. AIAA Paper 98-0908
Borggaard J, Pelletier D, Turgeon É (2000) A study of optimal cooling strategies in thermal processes. In: 38th AIAA aerospace sciences meeting and exhibit, Reno, NV, January 2000. AIAA Paper 2000-0563
Burden RL, Faires JD, Reynolds AC (1981) Numerical analysis, 2th edn. Prindle, Weber and Schmidt, Boston, p. 10
Chabard JP (1991) Projet N3S de mécanique des fluides—manuel théorique de la version 3. Tech. Rep. EDF HE-41/91.30B, Électricité de France
Craig KJ, Venter PJ (1999) Optimization of the k–ε coefficients for separation on a high-lift airfoil. In: 37th AIAA aerospace sciences meeting and exhibit, Reno, NV, January 1999. AIAA Paper 99-0151
Galera S, Hallo L, Puigt G, Mohammadi B (2005) Wall laws for heat transfer predictions in thermal turbulent flows. In: 38th AIAA thermophysics conference, Toronto, ON, Canada, June 2005. AIAA 2005-5200
Gerald CF, Wheatley PO (1998) Applied numerical analysis, 4th edn. Addison–Wesley, New York, p. 46
Godfrey AG, Cliff EM (2001) Sensitivity equations for turbulent flows. In: 39th AIAA aerospace sciences meeting and exhibit, Reno, NV, January 2001. AIAA Paper 2001-1060
Godfrey AG, Eppard WM, Cliff EM (1998) Using sensitivity quations for chemically reacting flows. In: 7th AIAA/USAF/NASA/ISSMO symposium on multidisciplinary analysis and optimization, St. Louis, Missouri, September 1998, pp. 789–798. AIAA Paper 98-4805
Gunzburger MD (1999) Sensitivities, adjoints, and flow optimization. Int J Numer Methods Fluids 31:53–78
Ignat L, Pelletier D, Ilinca F (1998) Adaptive computation of turbulent forced convection. Numer Heat Transf Part A 34:847–871
Ilinca F (1996) Méthodes d’éléments finis adaptatives pour les écoulements turbulents. PhD thesis, École Polytechnique de Montréal
Ilinca F, Pelletier D (1997) A Unified approach for adaptive solutions of compressible and incompressible flows. In: 35th AIAA aerospace sciences meeting and exhibit, Reno, NV, January 1997. AIAA Paper 97-0330
Ilinca F, Pelletier D (1998) Positivity preservation and adaptive solution for the k–ε model of turbulence. AIAA J 36(1):44–51
Ilinca F, Pelletier D, Garon A (1997a) An adaptive finite element method for a two-equation turbulence model in wall-bounded flows. Int J Numer Methods Fluids 24:101–120
Ilinca F, Pelletier D, Arnoux-Guisse F (1997b) An adaptive finite element scheme for turbulent free shear flows. Int J CFD 8:171–188
Ilinca F, Pelletier D, Ignat L (1998) Adaptive finite element solution of compressible turbulent flows. AIAA J 36(12):2187–2194
Kim JJ (1978) Investigation of separation and reattachment of turbulent shear layer: flow over a backward facing step. PhD thesis, Stanford University
Lacasse D, Turgeon É, Pelletier D (2001) On the judicious use of the k–ε model, wall functions and adaptivity. Int J Therm Sci 43:925–938
Lacasse D, Turgeon É, Pelletier D (2002) Predictions of turbulent separated flow in a turnaround duct using wall functions and adaptivity. Int J CFD 15:209–225
Launder BE, Spalding J (1974) The numerical computation of turbulent flows. Comput Methods Appl Mech Eng 3(2):269–289
Limache A, Cliff E (1999) Aerodynamic sensitivity theory for rotary stability derivatives. In: Proceedings of the AIAA atmospheric flight mechanics conference. AIAA Paper Number 99-4313
Pelletier D, Ilinca F (1997) Adaptive remeshing for the k–ε model of turbulence. AIAA J 35(4):640–646
Pelletier D, Turgeon E, Etienne S, Borggaard J (2002) Reliable sensitivity analysis by an adaptive sensitivity equation method. In: 3rd AIAA theoretical fluid mechanics conference, St. Louis, MO, June 2002. AIAA Paper 2002–2758
Peraire J, Vahdati M, Morgan K, Ziekiewicz O (1987) Adaptive remeshing for compressible flow computations. J Comput Phys 72(2):449–466
Ralston A, Abramowitz P (1981) A first course in numerical analysis, 2nd edn. MCGraw–Hill, New York, p. 5
Roache P (1998) Verification and validation in computational science and engineering. Hermosa, Albuquerque
Schlichting H (1979) Boundary-layer theory, 7th edn. McGraw–Hill, New York
Schultz-Grunow F (1941) New frictional resistance law for smooth plates. NACA TM 986
Turgeon É (1997) Application d’une méthode d’éléments finis adaptative à des écoulements axisymétriques. Master’s thesis, École Polytechnique de Montréal
Turgeon, É, Pelletier D, Borggaard J (2000a) A general continuous sensitivity equation formulation for complex flows. In: 8th AIAA/NASA/USAF/ISSMO symposium on multidisciplinary analysis and optimization, Long Beach, CA, September 2000. AIAA Paper 2000-4732
Turgeon É, Pelletier D, Borggaard J (2000b) A continuous sensitivity equation method for flows with temperature dependent properties. In: 8th AIAA/NASA/USAF/ISSMO symposium on multidisciplinary analysis and optimization, Long Beach, CA, September 2000. AIAA Paper 2000-4821
Turgeon É, Pelletier D, Borggaard J (2000c) A continuous sensitivity equation approach to optimal design in mixed convection. Numer Heat Transf Part A 38:869–885
Turgeon É, Pelletier D, Borggaard J (2001a) A General continuous sensitivity equation formulation for the k–ε model of turbulence. In: 15th AIAA computational fluid dynamics conference, Anaheim, CA, June 2001. AIAA Paper 2001-3000
Turgeon É, Pelletier D, Borggaard J (2001b) Sensitivity and uncertainty analysis for variable property flows. In: 39th AIAA aerospace sciences meeting and exhibit, Reno, NV, January 2001. AIAA Paper 2001-0139
Turgeon E, Pelletier D, Borggaard J (2004) A general continuous sensitivity equation formulation for the k–ε model of turbulence. Int J CFD 1:29–46
White FM (1974) Viscous flow. McGraw–Hill, New York
Zienkiewicz OC, Zhu JZ (1992a) The superconvergent patch recovery and a posteriori error estimates, part 1: the recovery technique. Int J Numer Methods Eng 33:1331–1364
Zienkiewicz OC, Zhu JZ (1992b) The superconvergent patch recovery and a posteriori error estimates, part 2: error estimates and adaptivity. Int J Numer Methods Eng 33:1365–1382
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Turgeon, É., Pelletier, D., Borggaard, J. et al. Application of a sensitivity equation method to the k–ε model of turbulence. Optim Eng 8, 341–372 (2007). https://doi.org/10.1007/s11081-007-9003-5
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11081-007-9003-5