Simulation of turbulent flows around a prism in suburban terrain inflow based on random flow generation method simulation

• Published in: Journal of wind engineering and industrial aerodynamics Vol. 146; pp. 51 - 58
• Main Authors: Li, Yi-Chao, Cheng, Chii-Ming, Lo, Yuan-Lung, Fang, Fuh-Min, Zheng, De-qian
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.11.2015
• Subjects: Atmospheric boundary layer; Coefficients; Computational fluid dynamic; Computational fluid dynamics; Fluctuation; Fluid flow; Inlets; Large eddy simulation; Mathematical models; Random flow generation; Turbulence; Turbulent flow; Large eddy simulation; Computational fluid dynamic; Atmospheric boundary layer; Random flow generation
• ISSN: 0167-6105; 1872-8197
• DOI: 10.1016/j.jweia.2015.07.008

In the study, the modified discretizing and synthesizing random flow generation (MDSRFG) was adopted to generate an anisotropic boundary layer inlet for large-eddy simulation. The mean velocity, turbulence intensity and turbulence length scale distributions at inlet, were defined according to the measurements at TKU wind tunnel. The von Kármán model was used as the target spectrum. Wind tunnel pressure measurements on a square prism model with aspect ratio of 3 was used for validation of numerical simulation. Results show that turbulence energy is well maintained from the inlet to the downstream. The relative differences between the measurement and predicted results are 3.4% (mean drag coefficient), 11% (fluctuating drag coefficient), 25.6% (fluctuating side force coefficient) and 4.7% (Strouhal number). The simulated mean and fluctuating pressure distributions showed good agreements with the experiments. The averaged differences between measurement and predicted results are 14.49% (mean pressure coefficient) and 13.74% (fluctuating pressure coefficient). This indicates that the adoption of a reasonable process based on the MDSRFG method is an effective tool to generate a spatially correlated atmospheric boundary layer flow field. •The MDSRFG method is adopted to generate anisotropic boundary layer inlet for LES.•Simulated flow characteristics remains well in empty fields with negligible longitudinal variations.•Acceptable differences are found between simulation and experiment: 3.4% for mean drag coefficient, 11.0% for fluctuating drag coefficient, 25.6% for fluctuating lift coefficient and 4.7% for Strouhal number.•The use of MDSRFG method is shown to successfully generate a spatially correlated atmospheric boundary layer flow field with a good extent of equilibrium nature.