Volume 19, Issue 3 (March 2019)                   Modares Mechanical Engineering 2019, 19(3): 719-730 | Back to browse issues page

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1- Civil Engineering Department, Engineering Faculty, University of Mohaghegh Ardabili, Ardabil, Iran
2- Civil Engineering Department, Engineering Faculty, University of Mohaghegh Ardabili, Ardabil, Iran , hek@uma.ac.ir
Abstract:   (3395 Views)
The application of computational fluid dynamics is being developed in recent years in order to evaluate the numerical impact of wind damage on high-rise buildings due to the increasing computing power of computers. With regard to the turbulent downturns around flexible, slender and long-winded buildings with relatively high Reynolds numbers, the study of aeroelastic behavior of tall buildings is essential. In this paper, the turbulent wind flow is simulated numerically with four different velocities around the high standard CAARC building. Large Eddy Simulation has been used to solve the turbulence effect in solving fluid flow equations and the response of tall buildings to wind forces is determined by solving the differential equation of motion. A two-way coupling method is used to transfer data between two areas of fluid and structural solution in each step of time. According to the results of the numerical simulation, the pressure coefficients, streamlines and instantaneous pressure field around the tall building are in good agreement with the common characteristics of the flow around the airborne objects. The critical speed corresponding to the lock in phenomenon in this problem is calculated using a Strouhal number equal to 100m/s. Also, the history of displacement of the roof of the building in the direction of the wind and perpendicular to its length have been extracted for different wind velocities and the mean and their standard deviations respectively have been calculated. The continuous increase in the range of the fluctuations of the building under the wind blowing at 100m/s is observed. This point indicates the efficiency and capability of the numerical process in detecting aeroelastic instability with a predicted speed.
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Article Type: Original Research | Subject: Computational Fluid Dynamic (CFD)
Received: 2018/06/10 | Accepted: 2018/11/12 | Published: 2019/03/1

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