Aerodynamic Models of Complicated Constructions Using Parallel Smoothed Particle Hydrodynamics

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


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.


Computational fluid dynamics Nvidia Tesla CUDA Smooth particle hydrodynamics Multiscale modeling 



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).


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

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

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