LS-DYNA Compact: LS-OPT Optimization

The use of new materials, such as plastics, composites, foams, fabrics or high-tensile steels, demands the application of highly complex material models.
These material formulations are generally associated with numerous material parameters. The optimization program LS-OPT is ideally suited for identifying these parameters.
In the identification process, an automatic comparison is carried out between the experimental results and the simulation results of LS-DYNA. Thereafter, the error between experiments and simulations is minimized.

In this seminar, a brief introduction to LS-OPT is given with a focus on the application of LS-OPT to determine material parameters.
No prior knowledge about optimization or the application of LS-OPT is required.

Contents
- Brief introduction to LS-OPT
- The optimization problem for the parameter identification
- Objective function: to minimize deviations between simulations and experiments (least-squares principle)
- Constraints
- Optimization variables
- Normalization and weighting
- Min. / max. formulation: minimizing the maximum deviation
- Graphical User Interface (GUI)
- Simultaneous adaptation of several experiments (e.g. tensile test, shear test and biaxial test)
- Starting LS-DYNA simulations and job control in LS-OPT
- Analysis and evaluation of optimization results
- Live demonstration

 

Date: 22 June, 9-11 am

Dates
Dates Duration/days Registration Referee Language Location Fee
22.06.2020
2 h
Charlotte Keisser
Katharina Witowski
200 €

Lecturers

Charlotte Keisser
Charlotte Keisser

Diplôme d’Ingénieur
Area of expertise: Optmization
Academic studies: Computer science and applied mathematics

Katharina Witowski
Katharina Witowski

Dipl.-Math.
Area of expertise: Optimization
Academic studies: Mathematics

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