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Statistical Methods for Solving Simulation Challenges

This webinar will focus on strategies for handling three classes of CAE modeling challenge.

This webinar will focus on strategies for handling three classes of CAE modeling challenges: 1) insufficient or inadequate sampling of a design space, 2) high computational expense of simulations and 3) disagreement of simulation models with physical tests. Discover 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.

DATE: Thursday, September 20, 2018

TIME: 2:00 pm ET/ 11:00 am PT

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 faced when trying to fully leverage CAE models for which 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.


Speaker

Dr. Mark Andrews, UQ Technology Steward, SmartUQ

Dr. Mark Andrews is SmartUQ’s UQ Technology Steward where he is responsible for advising SmartUQ on the industry’s uncertainty quantification needs and challenges. He 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.

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