Computational Mathematics and Modeling

, Volume 10, Issue 2, pp 123–131 | Cite as

Establishing the structure of a gas-dynamic flow from the results of numerical experiment

  • S. B. Bazarov


We describe a method that makes it possible to automate the processing of the results of numerical simulation of gas-dynamic flow and obtain the structure of its strong discontinuities. We give examples of the application of this method to specific flows. Nine figures. Bibliography: 9 titles.


Mathematical Modeling Numerical Experiment Computational Mathematic Industrial Mathematic Specific Flow 
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Literature Cited

  1. 1.
    S. K. Godunov, A. V. Zabrodin, M. Ya. Ivanov, et al.,Numerical Solution of Multidimensional Problems of Gas Dynamics [in Russian], Nauka, Moscow (1976).Google Scholar
  2. 2.
    E. V. Vorozhtsov, “On the classification of discontinuities by pattern recognition methods,”Computers & Fluids,18, No. 1, 35–74 (1990).MATHMathSciNetGoogle Scholar
  3. 3.
    S. B. Bazarov, “Application of image processing to the shock wave diffraction problem,” in:Proceedings of the Nineteenth International Symposium on Shock Waves, R. Brun and L. Z. Dumitresku, eds., Springer, New York (1995), Vol. IV, pp. 113–116.Google Scholar
  4. 4.
    G. B. Shaw, “Local and regional edge detectors: some comparisons,”Computer Graphics and Image Processing,9, No. 2, 135–149 (1979).Google Scholar
  5. 5.
    A. Rosenfeld and A. C. Kak,Digital Picture Processing, Academic Press, New York (1976).Google Scholar
  6. 6.
    R. Nevatia and K. R. Babu, “Linear feature extraction and description,”Computer Graphics and Image Processing,13, No. 3, 257–269 (1980).Google Scholar
  7. 7.
    L. Mero and Z. Vassy, “A simplified and fast version of the Hueckel operator for finding optimal edges in pictures,” in:Proceedings of the Fourth International Conference on Artificial Intelligence, Tbilisi (1975), pp. 650–655.Google Scholar
  8. 8.
    W. K. Pratt,Digital Image Processing, Wiley Interscience, New York (1978).Google Scholar
  9. 9.
    S. W. Zucker and R. A. Hummel, “Three-dimensional edge operator,”IEEE Trans. Pattern Anal. Mach. Intell., PAMI-3, No. 3, 324–331 (1981).Google Scholar

Copyright information

© Kluwer Academic/Plenum Publishers 1999

Authors and Affiliations

  • S. B. Bazarov

There are no affiliations available

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