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Application of Parallel Computing Technologies for Numerical Simulation of Air Transport in the Human Nasal Cavity

  • Alibek Issakhov
  • Aizhan Abylkassymova
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 741)

Abstract

The use of parallel computing technologies for numerical simulation of air transport in the human nasal cavity was considered in this paper. Investigation of air flow in the human nasal cavity is of considerable interest, since breathing is done mainly through the nose. A two-dimensional numerical simulation of air transport in the model cross-sections of the nasal cavity to normal human nose based on the Navier-Stokes equations, the equations for temperature and equation for relative humidity were conducted in this study. The projection method is used for the numerical solution of this system of equations. This numerical algorithm was fully parallelized using different geometric decompositions (1D, 2D, and 3D). A preliminary theoretical analysis of the speed-up and effectiveness of various methods of decomposition of the computational domain and the real numerical experiments for this problem were made in this work. Moreover the best domain decomposition method has been determined. The obtained data transfer numerical modelling air human nasal cavity was verified with known numerical results in the form of velocity and temperature profiles.

Keywords

Decomposition methods Theoretical analysis of efficiency Speed-up Alveolar state Heat transfer in the nasal cavity Projection method Finite volume method 

Notes

Acknowledgements

This work is supported by the grant from the Ministry of education and science of the Republic of Kazakhstan.

The authors wish to thank anonymous referees for their helpful and constructive comments on earlier versions of this paper. And would like to present our sincere thanks to the Editor in Chief and First EAI International Conference on Computer Science and Engineering (COMPSE 2016) to publish this paper.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Al-Farabi Kazakh National UniversityAlmatyKazakhstan

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