Abstract Computational Fluid Dynamics (CFD) is becoming more and more popular in various fields of engineering due to improvement of turbulence model and availability of high performance computing system. In bluff body and bridge aerodynamics fields CFD is applied to predict the aerodynamic response for reconfirming experimental results and revealing the flow mechanism. Accurate prediction of response largely depends on the accurate generation of grid system having converged solution. However, conventional grid convergence test takes much time to obtain the desired grid system. It becomes even worse for a beginner or user having lack of experience. In this paper, a strategy was proposed and demonstrated for faster generation of accurate and converged grid system for two-dimensional bluff bodies. First, the strategy was proposed and demonstrated by conducting simulation for a square rectangular cylinder at Reynolds number (R eB) of 1.22 × 104. An equation was derived to initialize the first grid height (y) and a Growth Factor (GF) was recommended to expand the grid away from the target body to obtain a grid system having converged solution. The strategy was checked and examined by conducting standard grid convergence test and by comparing solution of various aerodynamic parameters with past experimental works. Finally, the strategy was applied for an elongated rectangular cylinder and for a streamlined bridge deck for further checking the performance of the strategy and found to be efficient enough for faster and quick generation of accurate and converged grid system.


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    Titel :

    Strategy to develop efficient grid system for flow analysis around two-dimensional bluff bodies


    Beteiligte:
    Haque, M. N. (Autor:in) / Katsuchi, H. (Autor:in) / Yamada, H. (Autor:in) / Nishio, M. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2015-09-30


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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