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Parameter Identification with LS-OPT

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 in 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

  • 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

  • Brief introduction to LS-OPT
  • 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
  • Execution of examples

The two-day course Introduction to LS-OPT covers these topics in more detail.

    Dates
    Dates Duration/days Registration Referee Language Location Fee
    16.06.2021
    1 day Katharina Liebold, Charlotte Keisser German, English Stuttgart (GER) 525 €
    12.10.2021
    1 day Registration Charlotte Keisser French Versailles (FRA) 525 €
    17.11.2021
    1 day Registration Katharina Liebold, Charlotte Keisser German, English Stuttgart (GER) 525 €

    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