Effect of grid size on building wind according to a computation fluid dynamics simulation

Kim, Jae-Cheol; Lee, Kyoo-Seock

doi:10.1007/s13143-011-0008-9

Cited by 3 publications

(2 citation statements)

References 13 publications

(13 reference statements)

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“…The resolution of the grid seriously affects the accuracy of the simulation results. Kim et al [40] used grids with a size of 2.5 m × 2.5 m and 8 m × 8 m respectively to simulate a building area consisting of 9 high-rise buildings, and found that the velocity results between these two grids differs up to 11 m/s under certain wind direction.…”

Section: Computational Grid Divisionmentioning

confidence: 99%

Review of Research Advances in CFD Techniques for the Simulation of Urban Wind Environments

Ju¹,

Li²,

Wang³

2022

Fluid Dynamics &Amp; Materials Processing

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Computational fluid dynamics (CFD) has become the main method for the prediction of the properties of the external wind environment in cities and other urban contexts. A review is presented of the existing literature in terms of boundary conditions, building models, computational domains, computational grids, and turbulence models. Some specific issues, such as the accuracy/computational cost ratio and the exploitation of existing empirical correlations, are also examined.

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Section: Computational Grid Divisionmentioning

confidence: 99%

Review of Research Advances in CFD Techniques for the Simulation of Urban Wind Environments

Ju¹,

Li²,

Wang³

2022

Fluid Dynamics &Amp; Materials Processing

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“…Many scholars have verified the calculation accuracy of different turbulence models based on tetrahedral and hexahedral meshes under different conditions for high-rise buildings [14][15][16][17][18]. For instance, Murakami and Mochida compared the CFD simulation results with wind tunnel experiment results and found that the k-ε model could predict velocity and pressure fields well under fine-mesh conditions [19].…”

Section: Introductionmentioning

confidence: 99%

Study on Accuracy of CFD Simulations of Wind Environment around High-Rise Buildings: A Comparative Study of k-ε Turbulence Models Based on Polyhedral Meshes and Wind Tunnel Experiments

et al. 2022

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It is important to create a comfortable wind environment around high-rise buildings for outdoor activities. To predict the wind environment, Computational Fluid Dynamics (CFD) has been widely used by designers and engineers. However, the simulation results of different CFD turbulence models might significantly vary. This paper researched the wind environment around a typical high-rise building and verified the accuracy of the CFD simulations based on polyhedral meshes. The differences between the simulation results of the k-ε turbulence models and those of the wind tunnel experiments were compared from the perspectives of wind speed and turbulence energy. The results show that the modified k-ε models could still not perfectly match the wind tunnel experiment results. Specifically, in the low-wind-speed areas, the simulation results of the Realizable Two-Layer K-Epsilon (RTLKE) model were the closest to the experimental results of the wind tunnels, while in the high-wind-speed areas the simulation results of the Standard Two-Layer K-Epsilon (STLKE) model were the closest to the experimental results of the wind tunnels. Therefore, it is recommended that these two k-ε turbulence models are applied under different conditions—the RTLKE model should be used to simulate low-wind areas around high-rise buildings (e.g., defining the size of the static-wind area around high-rise buildings, predicting the diffusion time of pollutants around high-rise buildings, etc.); STLKE should be used to simulate high-wind-speed areas around high-rise buildings (e.g., the high speed wind area around high-rise buildings during a typhoon, the maximum wind speed area around high-rise buildings, etc.). It is expected that findings from this research study supplement some existing high-rise building design guidance.

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Hazardous flight region prediction for a small UAV operated in an urban area using a deep neural network

Jeong

You

Seok

2021

Aerospace Science and Technology

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Effect of grid size on building wind according to a computation fluid dynamics simulation

Cited by 3 publications

References 13 publications

Review of Research Advances in CFD Techniques for the Simulation of Urban Wind Environments

Review of Research Advances in CFD Techniques for the Simulation of Urban Wind Environments

Study on Accuracy of CFD Simulations of Wind Environment around High-Rise Buildings: A Comparative Study of k-ε Turbulence Models Based on Polyhedral Meshes and Wind Tunnel Experiments

Hazardous flight region prediction for a small UAV operated in an urban area using a deep neural network

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