LAUSR

ABSTRACT The continuous growth of ore train lengths demands more efficient schedules, improved transit estimations and accident prevention schemes. Braking is a key component in achieving these objectives. Understandably, physical testing is potentially dangerous and costly. Meanwhile, the computational cost of calculating vehicle forces and brake airflow is high, both in computational effort and time. Therefore, strategies to improve analytical and simulation effectiveness efficiency are critical to achieve the goal of transporting more cargo safely and economically. This work implemented and compared the computational cost of a parallelization method against a traditional single-thread approach. The first model is based on lump parameters, while the second use Navier-Stokes conservation equations assuming an isothermal environment. Both models used OpenMP to execute on multiple cores. This implementation resulted in an 80% reduction in model solution time, when compared with the traditional single-thread approach.