Multidisciplinary Analysis and Optimization

Training  "Probabilistic Simulation"

The basics and methods will be communicated for probabilistic simulation with the software OptiY®. Concurrently, the course contains also practical exercises for challenges  of CAD/CAE-engineers in the industry.

Course Content

1. Stochastic Distribution

  • Random Variable
  • Central Moments
  • Fitting of Distributions by Meseaurement Data

2. Design of Experiment (DOE)

  • Factorial Design (Full Factorial, Center Composite)
  • Sampling Methods (Monte Carlo, Latin Hypercube, Sobol)
  • Moment Methods (First und Second Order)
  • User Design

3. Meta-Modeling

  • Meta- or Surrogate Model
  • Adaptive Design
  • Residuals
  • Export of Meta-Model for System-Simulation

4. Global Sensitivity Analysis

  • Stochastic Variances
  • Sobol Index (Main- and Total-Effect)
  • Parameter-Interactions

5. Reliability and Robustness Evaluation

  • Robustness
  • Failure Probability
  • Six Sigma Design

6. Robust Design und Tolerance-Cost Optimization

  • Taguchi Quality Loss Function
  • Tolerance-Cost Model
  • Variance-Based Optimization
  • Reliability-Based Optimization
  • Tolerance-Cost Optimization

 

Details

Referent:

Dr. The-Quan Pham

 

Time:

1 Day from 9.00 to 17.00

 

Place:

Würzburg, Germany

 

Cost:

500,- Euro (excluding VAT)

It includes training material, drinks and lunch

 

Discount:   

40% for University Members

20% for Registration with multiple Persons

 

Date: available on request