LS-DYNA Kompakt: 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 webinar, 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.
The webinar will take place from 9-11 a.m. (CET).
Please note: The course will be held in Ansys Learning Hub. We will send the credentials shortly before the training.
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
Termine | Dauer/Tage | Kalender | Anmeldung | Trainer | Sprache(n) | Ort | Gebühr |
---|---|---|---|---|---|---|---|
08.07.2024, 09:00 - 11:00 | 2 h | Zum Kalender | Katharina Liebold, Nikolay Lazarov | Englisch | Online | 200 € | |
19.11.2024, 09:00 - 11:00 | 2 h | Zum Kalender | Anmeldung | Katharina Liebold, Nikolay Lazarov | Englisch | Online | 200 € |
Tutoren
Katharina Liebold
Dipl.-Math.
Spezialgebiet:
Optimierung
Studium:
Mathematik
Nikolay Lazarov
Dipl.-Ing.
Spezialgebiete:
Crash, Optimierung
Studium:
Bauingenieurwesen