Accelerated physics-based simulations of train aerodynamics using machine learning libraries

Key Points

• Enhanced modeling of train aerodynamics leads to more accurate simulations and design processes.
• Using machine learning libraries, simulations are accelerated, improving the time required for aerodynamic evaluation.
• Assessment using physics-based simulations shows a significant improvement in accuracy and computational speed.
• Potential efficiencies may enable faster train designs, enhancing performance and safety in the transportation sector.