Solving Simulation Challenges - Webinars

Solving Simulation Challenges with Statistical Methods

On Demand

As design cycles tighten and engineered 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.

Presented by Dr. Mark Andrews, SmartUQ UQ Technology Steward

He is responsible for advising SmartUQ on the industry’s uncertainty quantification needs and challenges. Dr. Andrews is SmartUQ’s principal investigator for the Probabilistic Secondary Flow and Heat Transfer Model project as part of the Probabilistic Analysis Consortium for Engines (PACE). Prior to working at SmartUQ, Dr. Andrews spent 15 years at Caterpillar where he worked as a Senior Research Engineer, Engineering Specialist in Corporate Reliability, and Senior Engineering Specialist in Virtual Product Development. He has a Ph.D. and M.S. in Mechanical Engineering from the New Mexico State University, as well as a BS in Mechanical Engineering from the University of New Mexico.

Webinars

Solving Simulation Challenges with Statistical Methods

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