Solving Simulation Challenges with Statistical Methods

Tuesday, January 30, 2018 at 2:00 pm U.S. EST

As design cycles tighten and engineering systems become more complex, companies are challenged to get the most out of their simulation and testing capabilities. There are a number of challenges to leveraging CAE models, and statistical methods can provide a powerful and viable solution.

This webinar will focus on strategies for handling three classes of CAE modeling challenges:

  • Insufficient or inadequate sampling of a design space

  • High computational expense of simulations

  • Disagreement of simulation models with physical tests

Webinar attendees will gain an understanding of how statistical methods can help increase early design phase efficiency, decrease the number of costly physical tests required to validate or calibrate CAE models, and reduce risks while increasing confidence in simulation models.


Zachary T. Graves, Application Engineer, SmartUQ

Zachary Graves is an application engineer at SmartUQ, where he is responsible for performing simulation and statistical work for clients in aerospace, automotive, and other industries. At SmartUQ, Zack has had the opportunity to work on projects with Fortune 500 companies regarding their engineering analytics and uncertainty quantification needs. He is excited to present on the benefits of modern statistical techniques that can help boost simulation results. Zack graduated from the University of Wisconsin – Madison, where he studied Engineering Mechanics and Astronautics.


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