Spur dikes are hydraulic structures widely used to divert the flow from riverbanks to the centerline. The reason for deviating the flow is to protect the bed and prevent erosion around banks. But the spur stability becomes at risk due to the flow vortex around it. Hence, it is vital to investigate the flow patterns around these spurs, either by physical means or numerical analysis. Since Physical Modeling requires a lot of effort, it is essential to conduct further study with a new approach and a technique with less hassleusing Computational Fluid Dynamics software named FLOW-3D to simulate complex hydrodynamics problems. In this paper, a Renormalized Group (RNG) k-ε turbulence model was employed to address the flow pattern around spur dikes. The model was validated using the experimental data results present in the open literature. Grid sensitivity analysis was also conducted, which provided evidence that a finer mesh using the nested mesh technique produced better results than a coarse mesh. Statistical tests, the coefficient of regression (R^2), root mean square deviation (RMSD), and mean absolute error (MAE) are utilized to compare the data on the transverse velocities in different sections to check the accuracy of the model with the observed data. For a 4 cm spur in a laboratory flume, the R^2, RMSD, and MAE were obtained as 0.97, 0.011, and 0.004, respectively, which shows the good agreement of the model results with the observed data, with minimal discrepancies. Therefore, it is recommended to be utilized for similar studies in the future and is applicable to field conditions.