In structural engineering, predicting the effects of turbulent wind flows on structures is crucial for safety and performance. Turbulence modeling in Computational Fluid Dynamics (CFD) helps simulate these interactions. Engineers must choose a practical turbulence model by balancing efficiency, accuracy, and applicability. Common models include Reynolds-Averaged Navier-Stokes (RANS), Unsteady Reynolds-Averaged Navier-Stokes (URANS), and Delayed Detached Eddy Simulation (DDES). RANS is robust and cost-effective for steady flows, URANS captures time-dependent phenomena for moderate unsteadiness, and DDES, a hybrid of RANS and Large Eddy Simulation (LES), resolves complex turbulent structures. Understanding each model's strengths and limitations helps engineers select the best approach for their applications.