Webinars

This webinar will discuss the role design of experiments, machine learning models (aka surrogate models), and machine learning tools such as sensitivity analysis, uncertainty propagation, and statistical calibration can play in accelerating structural simulations and maximizing the knowledge gained from their use. One area of emphasis will be the speed and accuracy of SmartUQ’s machine learning models including for non-parametric and mesh independent prediction of output fields. For structural simulations this can mean rapid predictions of stress, strain, and displacement fields corresponding to new designs, loading scenarios, or boundary conditions. Compared to other methods, SmartUQ’s approach requires less data collected from simulation and runs quickly and locally on standard desktop computing hardware, no HPC or Cloud data transfer needed. Join us for this webinar in which SmartUQ Principal Application Engineer, Gavin Jones, will introduce the use of SmartUQ for structural simulation applications. Customer use cases from industries including aerospace, automotive, and semiconductor will be used for illustration of the tools and techniques discussed. SmartUQ’s ability to integrate with all major structural simulation tools will also be discussed.