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DOE, Fit (Approximation), Optimization and Stochastic Studies

This is an introductory course teaching the use of HyperStudy to do design of experiments (DOE), fit (approximations), optimization, and stochastic studies. Study setup, study approaches, methods/techniques, applications and post-processing are covered.

Class Format
  • 1 or 2 days, depending on location
  • Instructor led
  • Hands-on exercises, one student to a computer

A basic knowledge of CAE

  • Study setup: parameterization of models, defining design variables, models and responses.
  • Approach setup: setting up design of experiments (DOE), fit (approximations), optimization and stochastic approaches.
  • Examples: hands-on applications of DOE, fit, optimization and stochastics approaches.
  • Methods: discussion of methods/techniques based on the examples.
  • Post-processing: interpretation of results from different study approaches.
  • Other topics that are covered include but not limited to: Discussion of differences between OptiStruct, structural concept design and optimization and HyperStudy methods and applications; How to use non-HyperWorks solvers such as Abaqus, LS-Dyna, Excel, etc.; Handling of non-standard variables and responses via customization

Suggested Follow-up Courses
  • HyperMesh/HyperMorph
  • OptiStruct Optimization
  • HyperMath

For questions concerning this course contact:

For Troy, MI Click Here

For Bothell, WA Click Here

For Draper, UT Click Here

For Irvine, CA Click Here

For Toronto, Canada Click Here

For Mexico City, Mexico Click Here


$400 for 1-day training

$800 for 2-day training

México- $400.00 US (por día)
Upcoming Dates
No classes scheduled

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