Optimization with LS-OPT
Given by Dr. Heiner Müllerschön of DYNAmore GmbH
Duration: 2 Days
The seminar gives an introduction to the optimization program LS-OPT and shows its possibilities and limits. LS-OPT is a powerful optimization software particularly suitable for highly nonlinear problems. LS-OPT is primarily intended to be used for general design optimization, shape optimization, parameter identification, DOE-studies and robustness or reliability analysis
The program is not restricted for the usage with LS-DYNA as FE-solver, but it can be combined with any CAE-software. LS-OPT works on the basis of the Response Surface Methodology (RSM) and a special successive iteration scheme, which ensures extreme effective solution of optimization problems.
In the input files of the FE-solver, design variables (e.g. material properties, shell thickness, node positions, boundary conditions, etc.) might be selected and by variation of these design variables within user-defined ranges an objective function can be minimized or maximized. Thereby, structural requirements can be considered as constraints in the optimization process.
The content of the seminar divides into three parts; the first part deals with the basics of optimization theory with particular focus on the Response Surface Methodology (RSM), in the second part the application of LS-OPT will be discussed and in the third part the participants of the seminar can apply their achieved knowledge by means of practical examples. The amount of time spent for each part will be adjusted depending on the preferences of the participants.
Content:
- Overview of non-linear optimization methods
- Formulation of an Optimization Problem: design variables, objective, constraints
- Design of Experiments (DOE)
- Response Surface Method (RSM)
- Application of LS-OPT with the graphical user interface
- Quantification of approximation functions, error indicators
- Multidisciplinary optimazation (MDO)
- Variable screening with ANOVA
- Viewing and interpretation of optimization results
- Application of LS-OPT by class examples
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