Advertisement

Aerodynamic Models of Complicated Constructions Using Parallel Smoothed Particle Hydrodynamics

  • Alexander Titov
  • Sergey Khrapov
  • Victor Radchenko
  • Alexander KhoperskovEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 965)

Abstract

In current paper we consider new industrial tasks requiring of air dynamics calculations inside and outside of huge and geometrically complicated building constructions. An example of such constructions are sport facilities of a semi-open type for which is necessary to evaluate comfort conditions depending on external factors both at the stage of design and during the further operation of the building. Among the distinguishing features of such multiscale task are the considerable size of building with a scale of hundreds of meters and complicated geometry of external and internal details with characteristic sizes of an order of a meter. Such tasks require using of supercomputer technologies and creating of a 3D-model adapted for computer modeling. We have developed specialized software for numerical aerodynamic simulations of such buildings utilizing the smoothed particle method for Nvidia Tesla GPUs based on CUDA technology. The SPH method allows conducting through hydrodynamic calculations in presence of large number of complex internal surfaces. These surfaces can be designed by 3D-model of a building. We have paid particular attention to the parallel computing efficiency accounting for boundary conditions on geometrically complex solid surfaces and on free boundaries. The discussion of test simulations of the football stadium is following.

Keywords

Computational fluid dynamics Nvidia Tesla CUDA Smooth particle hydrodynamics Multiscale modeling 

Notes

Acknowledgments

We used the results of numerical simulations carried out on the supercomputers of the Research Computing Center of M.V. Lomonosov Moscow State University. AK and SK are grateful to the Ministry of Education and Science of the Russian Federation (government task No. 2.852.2017/4.6). VR is thankful to the RFBR (grants 16-07-01037).

References

  1. 1.
    Egorychev, O.O., Orekhov, G.V., Kovalchuk, O.A., Doroshenko, S.A.: Studying the design of wind tunnel for aerodynamic and aeroacoustic tests of building structures. Sci. Herald Voronezh State Univ. Archit. Civil Eng. 2012(4), 7–12 (2012). Construction and ArchitectureGoogle Scholar
  2. 2.
    Sun, X., Liu, H., Su, N., Wu, Y.: Investigation on wind tunnel tests of the Kilometer skyscraper. Eng. Struct. 148, 340–356 (2017)CrossRefGoogle Scholar
  3. 3.
    Peshkov, R.A., Sidel’nikov, R.V.: Analysis of shock-wave loads on a missile, launcher and container during launches. Bull. South Ural State Univ. Ser. Mech. Eng. Ind. 15, 81–91 (2015)Google Scholar
  4. 4.
    Kravchuk, M.O., Kudryavtsev, V.V., Kudryavtsev, O.N., Safronov, A.V., Shipilov, S.N., Shuvalova, T.V.: Research on gas dynamics of launch in order to ensure the development of launching gear for the Angara A5 Rocket at Vostochny Cosmodrome. Cosmonautics Rocket Eng. 7(92), 63–71 (2016)Google Scholar
  5. 5.
    Fu, D., Hao, H.: Investigations for missile launching in an improved concentric canister launcher. J. Spacecraft Rockets 52, 1510–1515 (2015)CrossRefGoogle Scholar
  6. 6.
    Yang, J., Feng, J., Li, Y., Liu, A., Hu, J., Ma, Z.: Water-exit process modeling and added-mass calculation of the submarine-launched missile. Pol. Marit. Res. 24, 152–164 (2017)CrossRefGoogle Scholar
  7. 7.
    Dongyang, C., Abbas, L.K., Rui, X.R., Guoping, W.: Aerodynamic and static aeroelastic computations of a slender rocket with all-movable canard surface. Proc. Inst. Mech. Eng. Part G J. Aerosp. Eng. 232, 1103–1119 (2017)CrossRefGoogle Scholar
  8. 8.
    Liang, Y., Ying, Z., Shuo, Y., Xinglin, Z., Jun, D.: Numerical simulation of aerodynamic interaction for a tilt rotor aircraft in helicopter mode. Chin. J. Aeronaut. 29(4), 843–854 (2016)CrossRefGoogle Scholar
  9. 9.
    Lv, H., Zhang, X., Kuang, J.: Numerical simulation of aerodynamic characteristics of multielement wing with variable flap. J. Phys. Conf. Ser. 916, 012005 (2017)CrossRefGoogle Scholar
  10. 10.
    Guo, N.: Numerical prediction of the aerodynamic noise from the ducted tail rotor. Eng. Lett. 26, 187–192 (2018)Google Scholar
  11. 11.
    Janosko, I., Polonec, T., Kuchar, P., Machal, P., Zach, M.: Computer simulation of car aerodynamic properties. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 65, 1505–1514 (2017)CrossRefGoogle Scholar
  12. 12.
    Janson, T., Piechna, J.: Numerical analysis of aerodynamic characteristics of a of high-speed car with movable bodywork elements. Arch. Mech. Eng. 62, 451–476 (2015)CrossRefGoogle Scholar
  13. 13.
    Saad, S., Hamid, M.F.: Numerical study of aerodynamic drag force on student formula car. ARPN J. Eng. Appl. Sci. 11, 11902–11906 (2016)Google Scholar
  14. 14.
    Zhang, Z., Sien, M., To, A., Allsop, A.: Across-wind load on rectangular tall buildings. Struct. Eng. 95, 36–41 (2017)CrossRefGoogle Scholar
  15. 15.
    Jendzelovsky, N., Antal, R., Konecna, L.: Determination of the wind pressure distribution on the facade of the triangularly shaped high-rise building structure. MATEC Web Conf. 107, 00081 (2017)CrossRefGoogle Scholar
  16. 16.
    Butenko, M., Shafran, Y., Khoperskov, S., Kholodkov, V., Khoperskov, A.: The optimization problem of the ventilation system for metallurgical plant. Appl. Mech. Mater. 379, 167–172 (2013)CrossRefGoogle Scholar
  17. 17.
    Averkova, O.A., Logachev, K.I., Gritskevich, M.S., Logachev, A.K.: Ventilation of aerosol in a thin-walled suction funnel with incoming flow. Part 1. Development of mathematical model and computational algorithm. Refract. Ind. Ceram. 58, 242–246 (2017)CrossRefGoogle Scholar
  18. 18.
    Kopysov, S., Kuzmin, I., Nedozhogin, N., Novikov, N., Sagdeeva, Y.: Scalable hybrid implementation of the Schur complement method for multi-GPU systems. J. Supercomput. 69, 81–88 (2014)CrossRefGoogle Scholar
  19. 19.
    Monaco, A.D., Manenti, S., Gallati, M., Sibilla, S., Agate, G., Guandalini, R.: SPH modeling of solid boundaries through a semi-analytic approach. Eng. Appl. Comput. Fluid Mech. 5, 1–15 (2011)Google Scholar
  20. 20.
    Valizadeh, A., Monaghan, J.J.: A study of solid wall models for weakly compressible SPH. J. Comput. Phys. 300, 5–19 (2015)MathSciNetCrossRefGoogle Scholar
  21. 21.
    Bedorf, J., Gaburov, E., Zwart, S.P.: A sparse octree gravitational N-body code that runs entirely on the GPU processor. J. Comput. Phys. 231, 2825–2839 (2012)MathSciNetCrossRefGoogle Scholar
  22. 22.
    Khrapov, S., Khoperskov, A.: Smoothed-particle hydrodynamics models: implementation features on GPUs. Commun. Comput. Inf. Sci. 793, 266–277 (2017)Google Scholar
  23. 23.
    Buruchenko, S.K., Schafer, C.M., Maindl, T.I.: Smooth particle hydrodynamics GPU-acceleration tool for asteroid fragmentation simulation. Proc. Eng. 204, 59–66 (2017)CrossRefGoogle Scholar
  24. 24.
    Khrapov, S.S., Khoperskov, S.A., Khoperskov, A.V.: New features of parallel implementation of N-body problems on GPU. Bull. South Ural State Univ. Ser. Math. Model. Program. Comput. Softw. 11, 124–136 (2018)zbMATHGoogle Scholar
  25. 25.
    Afanas’ev, K.E., Makarchuk, R.S.: Calculation of hydrodynamic loads at solid boundaries of the computation domain by the ISPH method in problems with free boundaries. Russ. J. Numer. Anal. Math. Model. 26, 447–464 (2011)MathSciNetzbMATHGoogle Scholar
  26. 26.
    Winkler, D., Rezav, M., Rauch, W.: Neighbour lists for smoothed particle hydrodynamics on GPUs. Comput. Phys. Commun. 225, 140–148 (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alexander Titov
    • 1
  • Sergey Khrapov
    • 1
  • Victor Radchenko
    • 1
  • Alexander Khoperskov
    • 1
    Email author
  1. 1.Volgograd State UniversityVolgogradRussia

Personalised recommendations