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No AccessFull-Length Papers

Studies of Transonic Aircraft Flows and Prediction of Initial Buffet Using Large-Eddy Simulation

Published Online:9 Jan 2025

Abstract

This paper utilizes the large-eddy simulation (LES) paradigm with a physics-based turbulence modeling approach, including a dynamic subgrid-scale model and an equilibrium wall model, to examine the flow over the NASA transonic Common Research Model (CRM), a flow configuration that has been the focus of several AIAA Drag Prediction Workshops (DPWs). The current work explores sensitivities to laminar-to-turbulent transition, wind tunnel mounting system, grid resolution, and grid topology and makes suggestions for current best practices in the context of LESs of transonic aircraft flows. It is found that promoting the flow transition to turbulence via an array of cylindrical trip dots, including the sting mounting system, and leveraging stranded boundary-layer grids all tend to improve the quality of the LES solutions. Non-monotonic grid convergence in the LES calculations is observed to be strongly sensitive to grid topology, with stranded meshes rectifying this issue relative to their hexagonal close-packed counterparts. The details of the boundary-layer profiles, both at the leading edge of the wing and within the shock-induced separation bubble, are studied, with thicknesses and integral measures reported, providing details about the boundary-layer characteristics to turbulence modelers not typically available from complex aircraft flows. Finally, an assessment of the initial buffet prediction capabilities of LES is made in the context of a simpler NACA 0012 flow, with computational predictions showing reasonable agreement with available experimental data for the angle of attack at initial buffet onset and shock oscillation frequency associated with sustained buffet.

References

  • [1] Mauery T., Alonso J. J., Cary A. W., Lee V., Malecki R., Mavriplis D. J., Medic G., Schaefer J. and Slotnick J. P., “A 20-Year Vision for Flight and Engine Certification by Analysis,” AIAA Paper 2022-1553, 2022. https://doi.org/10.2514/6.2022-1553 LinkGoogle Scholar

  • [2] Vassberg J., Dehaan M., Rivers M. and Wahls R., “Development of a Common Research Model for Applied CFD Validation Studies,” 26th AIAA Applied Aerodynamics Conference, AIAA Paper 2008-6919, 2008.. https://doi.org/10.2514/6.2008-6919 LinkGoogle Scholar

  • [3] Zilliac G., Pulliam T., Rivers M., Zerr J., Delgado M., Halcomb N. and Lee H., “A Comparison of the Measured and Computed Skin Friction Distribution On the Common Research Model,” 49th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, AIAA Paper 2011-1129, 2011. https://doi.org/10.2514/6.2011-1129 LinkGoogle Scholar

  • [4] Bell J., “Pressure-Sensitive Paint Measurements on the NASA Common Research Model in the NASA 11-ft Transonic Wind Tunnel,” 49th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, AIAA Paper 2011-1128, 2011. https://doi.org/10.2514/6.2011-1128 LinkGoogle Scholar

  • [5] Koga S., Kohzai M., Ueno M., Nakakita K. and Sudani N., “Analysis of NASA Common Research Model Dynamic Data in JAXA Wind Tunnel Tests,” 51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, AIAA Paper 2013-495, 2013. https://doi.org/10.2514/6.2013-495 LinkGoogle Scholar

  • [6] Kohzai M., Ueno M., Koga S. and Sudani N., “Wall and Support Interference Corrections of NASA Common Research Model Wind Tunnel Tests in JAXA,” 51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, AIAA Paper 2013-963, 2013. https://doi.org/10.2514/6.2013-963 LinkGoogle Scholar

  • [7] Rivers M. and Dittberner A., “Experimental Investigations of the NASA Common Research Model,” 28th AIAA Applied Aerodynamics Conference, AIAA Paper 2010-4218, 2010. https://doi.org/10.2514/1.C032626 LinkGoogle Scholar

  • [8] Vassberg J., Tinoco E., Mani M., Rider B., Zickuhr T., Levy D., Brodersen O., Eisfeld B., Crippa S., Wahls R., Morrison J., Mavriplis D. and Murayama M., “Summary of the Fourth AIAA CFD Drag Prediction Workshop,” 28th AIAA Applied Aerodynamics Conference, AIAA Paper 2010-4547, 2010. https://doi.org/10.2514/6.2010-4547 LinkGoogle Scholar

  • [9] Levy D., Laflin K., Vassberg J., Tinoco E., Mani M., Rider B., Brodersen O., Crippa S., Rumsey C., Wahls R., Morrison J., Mavriplis D. and Murayama M., “Summary of Data from the Fifth AIAA CFD Drag Prediction Workshop,” 51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, AIAA Paper-2013-46, 2013. https://doi.org/10.2514/6.2013-46 LinkGoogle Scholar

  • [10] Tinoco E. N., Brodersen O. P., Keye S., Laflin K. R., Feltrop E., Vassberg J. C., Mani M., Rider B., Wahls R. A., Morrison J. H., Hue D., Roy C. J., Mavriplis D. J. and Murayama M., “Summary Data from the Sixth AIAA CFD Drag Prediction Workshop: CRM Cases,” Journal of Aircraft, Vol. 55, No. 4, 2018, pp. 1352–1379. https://doi.org/10.2514/1.C034409 LinkGoogle Scholar

  • [11] Tinoco E., “Summary Data from the Seventh AIAA CFD Drag Prediction Workshop,” AIAA AVIATION 2023 Forum, AIAA Paper 2023-3492, 2023. https://doi.org/10.2514/6.2023-3492 LinkGoogle Scholar

  • [12] Lehmkuhl O., Park G. and Moin P., “LES of Flow over the NASA Common Research Model with Near-Wall Modeling,” Proceedings of the 2016 Summer Program, Center for Turbulence Research, Stanford University, Stanford, CA, 2016, pp. 335–341. Google Scholar

  • [13] Ghate A. S., Kenway G. K., Stich G.-D., Browne O. M., Housman J. A. and Kiris C. C., “Transonic Lift and Drag Predictions Using Wall-Modelled Large Eddy Simulations,” AIAA SciTech 2021 Forum, AIAA Paper 2021-1439, 2021. https://doi.org/10.2514/6.2021-1439 LinkGoogle Scholar

  • [14] Vreman A., “An Eddy-Viscosity Subgrid-Scale Model for Turbulent Shear Flow: Algebraic Theory and Applications,” Physics of Fluids, Vol. 16, No. 10, 2004, pp. 3670–3681. https://doi.org/10.1063/1.1785131 CrossrefGoogle Scholar

  • [15] Goc K., Agrawal R., Moin P. and Bose S., “Studies of Transonic Aircraft Flows and Prediction of Initial Buffet Onset Using Large-Eddy Simulations,” AIAA AVIATION 2023 Forum, AIAA Paper 2023-4338, 2023. https://doi.org/10.2514/6.2023-4338 LinkGoogle Scholar

  • [16] Bres G. A., Bose S. T., Emory M., Ham F. E., Schmidt O. T., Rigas G. and Colonius T., “Large-Eddy Simulations of Co-Annular Turbulent Jet Using a Voronoi-Based Mesh Generation Framework,” 2018 AIAA/CEAS Aeroacoustics Conference, AIAA Paper 2018-3302, 2018. https://doi.org/10.2514/6.2018-3302 LinkGoogle Scholar

  • [17] Goc K. A., Lehmkuhl O., Park G. I., Bose S. T. and Moin P., “Large Eddy Simulation of Aircraft at Affordable Cost: A Milestone in Computational Fluid Dynamics,” Flow, Vol. 1, Dec. 2021, p. E14. https://doi.org/10.1017/flo.2021.17 CrossrefGoogle Scholar

  • [18] Moin P., Squires K., Cabot W. and Lee S., “A Dynamic Subgrid-Scale Model for Compressible Turbulence and Scalar Transport,” Physics of Fluids A: Fluid Dynamics, Vol. 3, No. 11, 1991, pp. 2746–2757. https://doi.org/10.1063/1.858164 CrossrefGoogle Scholar

  • [19] Cabot W. and Moin P., “Approximate Wall Boundary Conditions in the Large-Eddy Simulation of High Reynolds Number Flow,” Flow, Turbulence and Combustion, Vol. 63, No. 1, 2000, pp. 269–291. https://doi.org/10.1023/A:1009958917113 CrossrefGoogle Scholar

  • [20] Agrawal R., Whitmore M. P., Griffin K. P., Bose S. T. and Moin P., “Non-Boussinesq Subgrid-Scale Model with Dynamic Tensorial Coefficients,” Physical Review Fluids, Vol. 7, No. 7, 2022, Paper 074602. https://doi.org/10.1103/PhysRevFluids.7.074602 CrossrefGoogle Scholar

  • [21] Goc K., Bose S. and Moin P., “Subgrid-Scale Modeling Sensitivities in Wall-Modeled Large-Eddy Simulations of a High-Lift Aircraft Configuration,” Annual Research Briefs, Center for Turbulence Research, Stanford University, Stanford, CA, 2020, pp. 49–58. Google Scholar

  • [22] Fortune S., “Voronoi Diagrams and Delaunay Triangulations,” Handbook of Discrete and Computational Geometry, Chapman and Hall/CRC, 2017, pp. 705–721. Google Scholar

  • [23] Lozano-Durán A., Bose S. T. and Moin P., “Performance of Wall-Modeled LES with Boundary-Layer-Conforming Grids for External Aerodynamics,” AIAA Journal, Vol. 60, No. 2, 2022, pp. 747–766. https://doi.org/10.2514/1.J061041 LinkGoogle Scholar

  • [24] Toosi S. and Larsson J., “Anisotropic Grid-Adaptation in Large Eddy Simulations,” Computers & Fluids, Vol. 156, Oct. 2017, pp. 146–161. https://doi.org/10.1016/j.compfluid.2017.07.006 CrossrefGoogle Scholar

  • [25] Ichimiya M., Nakase Y. and Fukutomi J., “Engineering Turbulence Modelling and Experiments,” Engineering Turbulence Modelling and Experiments, Elsevier Science Publ., Amsterdam, The Netherlands, 1993, pp. 613–622. https://doi.org/10.1016/B978-0-444-89802-9.50062-9 CrossrefGoogle Scholar

  • [26] Evans A. N., Lacy D. S., Smith I. and Rivers M. B., “Test Summary of the NASA High-Lift Common Research Model Semispan at QinetiQ 5-Metre Pressurized Low-Speed Wind Tunnel,” AIAA Paper 2020-2770, 2020, https://doi.org/10.2514/6.2020-2770 Google Scholar

  • [27] Sayadi T. and Moin P., “Large Eddy Simulation of Controlled Transition to Turbulence,” Physics of Fluids, Vol. 24, No. 11, 2012, Paper 114103. https://doi.org/10.1063/1.4767537 CrossrefGoogle Scholar

  • [28] Agrawal R., Whitmore M. P., Goc K. A., Bose S. T. and Moin P., “Reynolds Number Sensitivities in Wall-Modeled Large-Eddy Simulation of a High-Lift Aircraft,” Annual Research Briefs, Center for Turbulence Research, Stanford Univ., Stanford, CA, 2023, pp. 229–244. Google Scholar

  • [29] Levy D. W., Zickuhr T., Vassberg J., Agrawal S., Wahls R. A., Pirzadeh S. and Hemsch M. J., “Data Summary from the First AIAA Computational Fluid Dynamics Drag Prediction Workshop,” Journal of Aircraft, Vol. 40, No. 5, 2003, pp. 875–882. https://doi.org/10.2514/2.6877 LinkGoogle Scholar

  • [30] Laflin K. R., Klausmeyer S. M., Zickuhr T., Vassberg J. C., Wahls R. A., Morrison J. H., Brodersen O. P., Rakowitz M. E., Tinoco E. N. and Godard J.-L., “Data Summary from Second AIAA Computational Fluid Dynamics Drag Prediction Workshop,” Journal of Aircraft, Vol. 42, No. 5, 2005, pp. 1165–1178. https://doi.org/10.2514/1.10771 LinkGoogle Scholar

  • [31] Vassberg J. C., Tinoco E. N., Mani M., Brodersen O. P., Eisfeld B., Wahls R. A., Morrison J. H., Zickuhr T., Laflin K. R. and Mavriplis D. J., “Abridged Summary of the Third AIAA Computational Fluid Dynamics Drag Prediction Workshop,” Journal of Aircraft, Vol. 45, No. 3, 2008, pp. 781–798. https://doi.org/10.2514/1.30572 LinkGoogle Scholar

  • [32] Du Q., Emelianenko M. and Ju L., “Convergence of the Lloyd Algorithm for Computing Centroidal Voronoi Tessellations,” SIAM Journal on Numerical Analysis, Vol. 44, No. 1, 2006, pp. 102–119. https://doi.org/10.1137/040617364 CrossrefGoogle Scholar

  • [33] Kawai S. and Larsson J., “Wall-Modeling in Large Eddy Simulation: Length Scales, Grid Resolution, and Accuracy,” Physics of Fluids, Vol. 24, No. 1, 2012, Paper 015105. https://doi.org/10.1063/1.3678331 CrossrefGoogle Scholar

  • [34] Kawai S. and Larsson J., “Dynamic Non-Equilibrium Wall-Modeling for Large Eddy Simulation at High Reynolds Numbers,” Physics of Fluids, Vol. 25, No. 1, 2013, Paper 015105. https://doi.org/10.1063/1.4775363 CrossrefGoogle Scholar

  • [35] Whitmore M. P., Griffin K. P., Bose S. T. and Moin P., “Large-Eddy Simulation of a Gaussian Bump with Slip-Wall Boundary Conditions,” Annual Research Briefs, Center for Turbulence Research, Stanford Univ., Stanford, CA, 2021, pp. 45–58. Google Scholar

  • [36] Schumann J.-E., Toosi S. and Larsson J., “Assessment of Grid Anisotropy Effects on Large-Eddy-Simulation Models with Different Length Scales,” AIAA Journal, Vol. 58, No. 10, 2020, pp. 4522–4533. https://doi.org/10.2514/1.J059576 LinkGoogle Scholar

  • [37] Marusic I. and Monty J. P., “Attached Eddy Model of Wall Turbulence,” Annual Review of Fluid Mechanics, Vol. 51, No. 1, 2019, pp. 49–74. https://doi.org/10.1146/annurev-fluid-010518-040427 CrossrefGoogle Scholar

  • [38] Sclafani A. J., DeHaan M. A., Vassberg J. C., Rumsey C. L. and Pulliam T. H., “Drag Prediction for the Common Research Model Using CFL3D and Overflow,” Journal of Aircraft, Vol. 51, No. 4, 2014, pp. 1101–1117. https://doi.org/10.2514/1.C032571 LinkGoogle Scholar

  • [39] Crouch J., Garbaruk A. and Strelets M., “Global Instability in the Onset of Transonic-Wing Buffet,” Journal of Fluid Mechanics, Vol. 881, Dec. 2019, pp. 3–22. https://doi.org/10.1017/jfm.2019.748 CrossrefGoogle Scholar

  • [40] Koike S., Ueno M., Nakakita K. and Hashimoto A., “Unsteady Pressure Measurement of Transonic Buffet on NASA Common Research Model,” 34th AIAA Applied Aerodynamics Conference, AIAA Paper 2016-4044, 2016. https://doi.org/10.2514/6.2016-4044 LinkGoogle Scholar

  • [41] Dandois J., “Experimental Study of Transonic Buffet Phenomenon on a 3D Swept Wing,” Physics of Fluids, Vol. 28, No. 1, 2016, Paper 016101. https://doi.org/10.1063/1.4937426 CrossrefGoogle Scholar

  • [42] Sugioka Y., Koike S., Nakakita K., Numata D., Nonomura T. and Asai K., “Experimental Analysis of Transonic Buffet on a 3D Swept Wing Using Fast-Response Pressure-Sensitive Paint,” Experiments in Fluids, Vol. 59, No. 6, 2018, pp. 1–20. https://doi.org/10.1007/s00348-018-2565-5 CrossrefGoogle Scholar

  • [43] Sugioka Y., Nakakita K., Koike S., Nakajima T., Nonomura T. and Asai K., “Characteristic Unsteady Pressure Field on a Civil Aircraft Wing Related to the Onset of Transonic Buffet,” Experiments in Fluids, Vol. 62, No. 1, 2021, pp. 1–18. https://doi.org/10.1007/s00348-020-03118-y CrossrefGoogle Scholar

  • [44] McDevitt J. B. and Okuno A. F., Static and Dynamic Pressure Measurements on a NACA 0012 airfoil in the Ames High Reynolds Number Facility, NACA, 1985. Google Scholar

  • [45] Lehmkuhl O., Lozano-Durán A. and Rodriguez I., “Active Flow Control for External Aerodynamics: From Micro Air Vehicles to a Full Aircraft in Stall,” Journal of Physics: Conference Series. Vol. 1522, June 2010, Paper 012017. https://doi.org/10.1088/1742-6596/1522/1/012017 Google Scholar

  • [46] Griffin K. P., Fu L. and Moin P., “General Method for Determining the Boundary Layer Thickness in Nonequilibrium Flows,” Physical Review Fluids, Vol. 6, No. 2, 2021, Paper 024608. https://doi.org/10.1103/PhysRevFluids.6.024608 CrossrefGoogle Scholar

  • [47] Agrawal R., Bose S. and Moin P., “Wall Modeled LES of the Boeing Speed Bump Using a Non-Boussinesq Modeling Framework,” Annual Research Briefs, Center for Turbulence Research, Stanford Univ., Stanford, CA, 2022, pp. 43–58. Google Scholar

  • [48] Ling Y., Arranz G., Williams E., Goc K., Griffin K. and Lozano-Durán A., “Wall-Modeled Large-Eddy Simulation Based on Building-Block Flows, 2022. https://doi.org/10.48550/arXiv.2212.05120 Google Scholar

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