Predicting Aerodynamic Flow Physics Around Automotive Vehicles

Predicting aerodynamic flow physics around automotive vehicles is a complex endeavor, often leaving the engineer with the need to balance cost and accuracy. While steady-state approaches (such as RANS) are attractive for their low computational cost, they usually fail to predict all flow phenomena correctly, especially so in the presence