Результаты поиска по 'FlowVision':
Найдено статей: 44
  1. Editor’s note
    Computer Research and Modeling, 2014, v. 6, no. 6, pp. 877-878
    Views (last year): 3.
  2. Editor's note
    Computer Research and Modeling, 2017, v. 9, no. 1 p.
  3. Editor's note
    Computer Research and Modeling, 2017, v. 9, no. 2, pp. 139-142
    Views (last year): 2.
  4. Editor's note
    Computer Research and Modeling, 2018, v. 10, no. 4, pp. 379-381
    Views (last year): 36.
  5. Editor's note
    Computer Research and Modeling, 2020, v. 12, no. 1, pp. 5-8
  6. Editor's note
    Computer Research and Modeling, 2020, v. 12, no. 3, pp. 471-473
  7. Editor's note
    Computer Research and Modeling, 2020, v. 12, no. 6, pp. 1261-1264
  8. Editor’s note
    Computer Research and Modeling, 2023, v. 15, no. 4, pp. 801-803
  9. Editor’s note
    Computer Research and Modeling, 2025, v. 17, no. 4, pp. 525-528
  10. Zhluktov S.V., Aksenov A.A., Karasev P.I.
    Modeling bypass transition within $k-\varepsilon$ approach
    Computer Research and Modeling, 2014, v. 6, no. 6, pp. 879-888

    This article is dedicated to investigation of the possibility to predict bypass transition by means of an unsophisticated low-Reynolds $k-\varepsilon$ turbulence model. Such a model has been developed at TESIS Ltd. The model is implemented in the FlowVision software suit. The ideas implemented in the model are discussed in the article. The capability of the model to predict bypass transition is demonstrated on well-known test cases T3B, T3A, T3A-.

    Keywords: turbulent flow, bypass transition, low-Reynolds $k-\varepsilon$ turbulence model, grid convergence.
    Views (last year): 11. Citations: 8 (RSCI).
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