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• W2891142048 abstract "Taking into account the high rate of construction in the modern big cities, it is very important to save the natural aerodynamics between the buildings. It is necessary to explore the ventilation of space between architectural structures, making a preliminary prediction before construction starting. The most optimal way of evaluating is to build a mathematical model of air flow. This paper presents numerical solutions of the wind flow around the architectural obstacles with the vertical buoyancy forces. An incompressible Navier-Stokes equation is used to describe this process. This system is approximated by the control volume method and solved numerically by the projection method. The Poisson equation that is satisfying the discrete continuity equation solved by the Jacobi iterative method at each time step. For check correctness of mathematical model and numerical algorithm is solved test problem. The numerical solutions of the backward-facing step flow with the vertical buoyancy forces, which was compared with the numerical results of other authors. This numerical algorithm is completely parallelized using various geometric domain decompositions (1D, 2D and 3D). Preliminary theoretical analysis of the various decomposition methods effectiveness of the computational domain and real computational experiments for this problem were made and the best domain decomposition method was determined. In the future, a proven mathematical model and parallelized numerical algorithm with the best domain decomposition method can be applied for various complex flows with the vertical buoyancy forces." @default.
• W2891142048 created "2018-09-27" @default.
• W2891142048 creator A5003583015 @default.
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• W2891142048 date "2019-01-01" @default.
• W2891142048 modified "2023-09-27" @default.
• W2891142048 title "Applications of Parallel Computing Technologies for Modeling the Flow Separation Process behind the Backward Facing Step Channel with the Buoyancy Forces" @default.
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• W2891142048 doi "https://doi.org/10.1007/978-3-030-12203-4_10" @default.
• W2891142048 hasPublicationYear "2019" @default.
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