Basics of Structural Optimization

The aim of this class is to understand the basic principles of structural optimization techniques (e.g. response surface methods, gradient based methods, genetic and stochastic search methods) and to discuss the capabilities and limits of the different methods. The methods are illustrated with examples particularly from the automotive industry.

 

Various definitions related to structural optimization techniques as topology, topography and topometry optimization are used frequently. These methods are usually effectively used in linear finite element analysis. For the optimization of nonlinear systems usually gradient based methods (numerical/analytical), response surface methods, or genetic and stochastic search methods are applied. The aim of this class is to understand the basic principles of structural optimization techniques  (e.g. response surface methods, gradient based methods, genetic and stochastic search methods) and to discuss the capabilities and limits of the different methods. The methods are illustrated with examples particularly from the automotive industry.

Contents

  • Introduction to mathematical optimization
  • Classification of different methods
  • How to select the right method
  • Possibilities and limits of the different methods
  • Effectivity of the algorithms
  • Pros and cons of the methods
  • Correct definition of an optimization problem
  • Interpretation of results
Details
   
Date 14.05.2020 - 14.05.2020 (1 day)
Lecturers S. Schwarz
Location Stuttgart (GER)
Languages German, English
Price
Standard (600 € + VAT)
Employee of University (300 € + VAT)
Student (50 € + VAT)
ICal
 
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