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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.

The webinar will take place from 9-11 a.m. (CET).



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

Dates
Dates Duration/days Registration Referee Language Location Fee
08.04.2021
2 h Charlotte Keisser French Online 200 €
12.07.2021
2 h Registration Katharina Liebold, Charlotte Keisser English Online 200 €

Lecturers

Katharina Liebold

Katharina Liebold

Dipl.-Math.


Area of expertise:
Optimization


Academic studies:
Mathematics

Charlotte Keisser

Charlotte Keisser

Diplôme d’Ingénieur


Area of expertise:
Optmization

Academic studies:
Computer science and applied mathematics