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).

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