Getting the most out of multibody dynamics simulations requires efficient use of the available simulation budget as well as validating that the simulation produces results that agree with reality. This webinar will discuss the role design of experiments, predictive machine learning (ML) models, and ML tools such as statistical calibration can play in calibrating multibody dynamics simulations to physical data, validating their accuracy, and maximizing the knowledge gained from their use.
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce the use of SmartUQ for multibody dynamics applications. SmartUQ’s ability to integrate with multibody dynamics tools such as Adams, RecurDyn, and Dymola will also be discussed.
