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Webinars

Design of Experiments, Validation, and Machine Learning for Structural Simulations

On Demand

Getting the most out of structural 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 and machine learning tools such as statistical calibration can play in validating and maximizing the knowledge gained from structural simulations.

The webinar will include a live demonstration of SmartUQ, example customer use cases, and end with a Q&A session.


Presented by Gavin Jones, Principal Application Engineer
Gavin Jones serves as a Principal Application Engineer at SmartUQ, where he is responsible for performing simulation and AI work for clients in the automotive, aerospace, defense, semiconductor, and other industries. He is a member of the SAE Chassis Committee as well as the AIAA Digital Engineering Integration Committee. Gavin is also a key contributor in SmartUQ’s Digital Twin/Digital Thread initiative.