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Numerical predictions of fluid flow around a low rise building

Ali Qasim

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Abstract

Advancement of Computational Fluid Dynamics (CFD)and computer modeling offers a whole new direction for understanding engineering problems. Research work in wind engineering has also been restructured to make use of this advancement. In contrast to aeronautical engineering, the CFD era started only recently in the wind engineering community. As a result, few practitioners have used CFD codes as their design tools.\n\nA number of turbulence models have been developed in the last two decades, ranging from the zero-equation mixing length model to the multi-equation turbulence models. Of these numerous models, the two-equation k -8 turbulence model has been widely used primarily due to its simplicity and realistic predictions. The standard k -8 turbulence model is known to successfully predict simple turbulent flows such as boundary layer flows and flows in plane ducts with no recirculation. Although, in the numerical solution of the governing flow equations, flow parameters such as mean velocity and mean pressure are readily available, the fluctuating pressures are rarely computed because of the fact that the finite difference equations solved for do not contain fluctuating values of these variable readily. In this research study, two methods are presented to compute the r.m.s. pressure coefficients after solving the flow equations.

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Advancement of Computational Fluid Dynamics (CFD)and computer modeling offers a whole new direction for understanding engineering problems. Research work in wind engineering has also been restructured to make use of this advancement. In contrast to aeronautical engineering, the CFD era started only recently in the wind engineering community. As a result, few practitioners have used CFD codes as their design tools.\n\nA number of turbulence models have been developed in the last two decades, ranging from the zero-equation mixing length model to the multi-equation turbulence models. Of these numerous models, the two-equation k -8 turbulence model has been widely used primarily due to its simplicity and realistic predictions. The standard k -8 turbulence model is known to successfully predict simple turbulent flows such as boundary layer flows and flows in plane ducts with no recirculation. Although, in the numerical solution of the governing flow equations, flow parameters such as mean velocity and mean pressure are readily available, the fluctuating pressures are rarely computed because of the fact that the finite difference equations solved for do not contain fluctuating values of these variable readily. In this research study, two methods are presented to compute the r.m.s. pressure coefficients after solving the flow equations.

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Available abstract

Advancement of Computational Fluid Dynamics (CFD)and computer modeling offers a whole new direction for understanding engineering problems. Research work in wind engineering has also been restructured to make use of this advancement. In contrast to aeronautical engineering, the CFD era started only recently in the wind engineering community. As a result, few practitioners have used CFD codes as their design tools.\n\nA number of turbulence models have been developed in the last two decades, ranging from the zero-equation mixing length model to the multi-equation turbulence models. Of these numerous models, the two-equation k -8 turbulence model has been widely used primarily due to its simplicity and realistic predictions. The standard k -8 turbulence model is known to successfully predict simple turbulent flows such as boundary layer flows and flows in plane ducts with no recirculation. Although, in the numerical solution of the governing flow equations, flow parameters such as mean velocity and mean pressure are readily available, the fluctuating pressures are rarely computed because of the fact that the finite difference equations solved for do not contain fluctuating values of these variable readily. In this research study, two methods are presented to compute the r.m.s. pressure coefficients after solving the flow equations.

Key concepts: Flow (mathematics), Fluid dynamics, Mechanics, Geology, Environmental science, Physics

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