Advancements in simulation have led to new technologies such as digital twins and have given engineers a “data-rich” environment for conducting predictive analytics. Yet, simulations are a deterministic analysis, not considering real-world variability and uncertainties surrounding the simulation process. By accounting for the uncertainties in their simulation models, engineers can develop accurate predictive models, enabling the performance of predictive analytics, including uncertainty quantification (UQ), design space exploration, trade studies, and predictive maintenance. These predictive capabilities can significantly reduce product development, warranty, and sustainment costs as well as improve product reliability and durability.
This webinar will show how SmartUQ’s predictive analytics and UQ software can enhance design exploration activities and product development in MSC Adams Car. Using a simulated roll stability test maneuver for demonstration, this webinar will explore how SmartUQ’s tools integrate with MSC Adams Car to enhance design exploration and analysis workflows.
