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A High-Order Accuracy Method for Calculating the Initial Icing Stage of a Civil Aircraft’s Structural Elements

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Abstract

An effective approach based on the discontinuous Galerkin method (DGM) of a high-order accuracy for calculating the initial stage of an aircraft wing’s icing is presented. The problem is solved in the Euler approximation for small water droplets that do not affect the main flow. Systems of Navier–Stokes (NS) equations and Euler model equations for the liquid water content and some relations of the ice growth thermodynamics equations are written. The initial and boundary conditions are formulated. A supercomputer DGM implementation is proposed to solve these systems of equations. The efficiency of the parallel version for the code is investigated. Comments are given on the peculiarities of organizing the calculation procedure. The accuracy of the calculation using the DGM schemes of different accuracy orders is investigated. Test cases on the finely dispersed flow of supercooled droplets around a cylinder and a NACA0012 profile are presented. The numerical and experimental data are compared. A conclusion is drawn about the possibility of applying the developed methodology in practice.

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REFERENCES

  1. R. Gary and B. Berkowitz, Users Manual for the NASA Lewis Ice Accretion Prediction Code (LEWICE), NASA Contractor Report 185129 (1990).

  2. D. Guffond, J. Cassaing, and L. Brunet, “Overview of icing research at ONERA,” in 23rd Aerospace Sciences Meeting (American Institute of Aeronautics and Astronautics, Reno, Nev., 1985), p. 8. https://doi.org/10.2514/6.1985-335

  3. G. A. Lima da Silva, O. de Mattos Silvares, and E. J. G. de Jesus Zerbini, “Numerical simulation of airfoil thermal anti-ice operation. Part 1: Mathematical modeling,” J. Aircraft 44, 627–633 (2007). https://doi.org/10.2514/1.544

    Article  Google Scholar 

  4. P. Ion and S. Farooq, “Ice accretion simulation code CANICE,” in International Aerospace Symposium (Bucharest, Romania, 2011), p. 7.

  5. J. Hospers and H. Hoeijmakers, “Eulerian method for ice accretion on multiple-element airfoil sections,” in 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition (American Institute of Aeronautics and Astronautics, 2010), p. 13. https://doi.org/10.2514/6.2010-1236

  6. Yv. Bourgault, Z. Boutanios, and W. G. Habashi, “Three-dimensional Eulerian approach to droplet impingement simulation using FENSAP-ICE, Part 1: Model, algorithm, and validation,” J. Aircraft 37, 95–103 (2000). https://doi.org/10.2514/2.2566

    Article  Google Scholar 

  7. R. Honsek, Development of a Three-Dimensional Eulerian Model of Droplet-Wall Interaction Mechanisms (McGill Univ., Montreal, 2005).

    Google Scholar 

  8. A. A. Aksenov, P. M. Byvaltsev, S. V. Zhluktov, K. E. Sorokin, A. A. Babulin, and V. I. Shevyakov, “Numerical simulation of ice accretion on airplane surface,” AIP Conf. Proc. 2125, 030013 (2019). https://doi.org/10.1063/1.5117395

  9. ANSYS 18 Capabilities Brochure. ANSYS, Inc. (2017), pp. 1–21. http://www.ansys.com/media/ansys/corporate/files/pdf/product/release-highlights/ansyscapabilities182.pdf.

  10. I. P. Mazin, Physical Foundations of Aircraft Icing (Moscow, 1957).

    Google Scholar 

  11. A. L. Stasenko, V. A. Tolstykh, and D. A. Shirobokov, “The icing process of an aircraft: drop dynamics and wetted surface,” Matematicheskoe Model. 13 (6), 81–86 (2001).

    Google Scholar 

  12. S. V. Alekseenko and A. A. Prikhod’ko, “NUmerical modeling of icing of a cylinder and profile: Survey of models and calculation results,” Uch. Zap. TsAGI 44, 25–57 (2013).

    Google Scholar 

  13. F. Bassi and S. Rebay, “A high-order accurate discontinuous finite element method for the numerical solution of the compressible Navier–Stokes Equations,” J. Comput. Phys. 131, 267–279 (1997). https://doi.org/10.1006/jcph.1996.5572

    Article  MathSciNet  Google Scholar 

  14. K. A. Hoffmann and S. T. Chiang, Computational Fluid Dynamics, 4th ed., Engineering Education System, Vol. 1 (Wichita, Kan., 2000).

  15. Yv. Bourgault, W. G. Habashi, J. Dompierre, and G. S. Baruzzi, “A finite element method study of Eulerian droplets impingement models,” Int. J. Numer. Methods Fluids 29, 429–449 (1999). https://doi.org/10.1002/(sici)1097-0363(19990228)29:4<429::aid-fld795>3.0.co;2-f

    Article  Google Scholar 

  16. Y. Bourgault, H. Beaugendre, and W. G. Habashi, “Development of a shallow-water icing model in FE-NSAP‑ICE,” J. Aircraft 37, 640–646 (2000). https://doi.org/10.2514/2.2646

    Article  Google Scholar 

  17. J. Boussinesq, L’Acad. des Sci. de L’Inst. de France 23 (1), 46–50 (1877).

    Google Scholar 

  18. B. Aupoix and P. R. Spalart, “Extensions of the Spalart–Allmaras turbulence model to account for wall roughness,” Int. J. Heat Fluid Flow 24, 454–462 (2003). https://doi.org/10.1016/s0142-727x(03)00043-2

    Article  Google Scholar 

  19. A. V. Wolkov, “Application of the multigrid approach for solving 3D Navier–Stokes equations on hexahedral grids using the discontinuous Galerkin method,” Comput. Math. Math. Phys. 50, 495–508 (2010). https://doi.org/10.1134/S0965542510030103

    Article  MathSciNet  Google Scholar 

  20. I. Bosnyakov, S. Mikhaylov, V. Podaruev, A. Troshin, V. Vlasenko, and A. V. Wolkov, “Validation of a discontinuous Galerkin based DES solver in flow problems using high performance computing,” in 32nd Congress of the Int. Council of the Aeronautical Sciences, Shanghai, 2021 (ICAS, 2021).

  21. A. V. Gorobets, “Parallel computations in the small-angle scattering method,” Doctoral Dissertation in Physics and Mathematics (Keldysh Institute of Applied Mathematics, Russ. Acad. Sci., Moscow, 2015).

  22. MPI: A Message-Passing Interface Standard. Version 3.1 (Message Passing Interface Forum, 2015). http://mpi-forum.org/docs. Cited September 10, 2017.

  23. ParMETIS–Parallel graph partitioning and fill-reducing matrix ordering. http://glaros.dtc.umn.edu/gkhome/metis/parmetis/overview.

  24. OpenMP Application Programming Interface. Version 4.5. (OpenMP Architecture Rev. Board, 2015). http://www.openmp.org.

  25. Eigen is a C++ template library for linear algebra: Matrices, vectors, numerical solvers, and related algorithms. http://eigen.tuxfamily.org.

  26. Yv. Bourgault, Z. Boutanios, and W. G. Habashi, “Three-dimensional Eulerian approach to droplet impingement simulation using FENSAP-ICE, Part 1: Model, algorithm, and validation,” J. Aircraft 37, 95–103 (2000). https://doi.org/10.2514/2.2566

    Article  Google Scholar 

  27. D. W. Levy, T. Zickuhr, J. Vassberg, S. Agrawal, R. A. Wahls, S. Pirzadeh, and M. J. Hemsch, “Data summary from the first AIAA computational fluid dynamics drag prediction workshop,” J. Aircraft 40, 875–882 (2003). https://doi.org/10.2514/2.6877

    Article  Google Scholar 

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Funding

This article was prepared as part of the implementation of the program for the creation and development of a world-class scientific center “Supersound” for 2020–2025 with the financial support of the Russian Ministry of Education and Science (agreement no. 15-2022-1023, dated May 17, 2022).

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Correspondence to S. M. Bosnyakov.

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Bosnyakov, S.M., Wolkov, A.V., Mikhaylov, S.V. et al. A High-Order Accuracy Method for Calculating the Initial Icing Stage of a Civil Aircraft’s Structural Elements. Math Models Comput Simul 16, 13–28 (2024). https://doi.org/10.1134/S207004822401006X

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