System-/Parameter Identification
The utilization of new materials such as plastics, composites, foams, textile or high-strength steels require the application of highly complex material models. These material models generally bring along numerous material parameters, which are difficult to define. The optimization program LS-OPT is excellently suited for the identification of these parameters. By the parameterized simulation of the physical tests with LS-DYNA an automated calibration to the test results is performed. The objective is to minimize the error between the test results and the simulation results.
https://www.lsoptsupport.com/system-parameter-identification
https://www.lsoptsupport.com/@@site-logo/LS-Opt-Support-Logo480x80.png
System-/Parameter Identification
The utilization of new materials such as plastics, composites, foams, textile or high-strength steels require the application of highly complex material models. These material models generally bring along numerous material parameters, which are difficult to define. The optimization program LS-OPT is excellently suited for the identification of these parameters. By the parameterized simulation of the physical tests with LS-DYNA an automated calibration to the test results is performed. The objective is to minimize the error between the test results and the simulation results.
|
|
Optimization Algorithm
- Successive Response Surface Method (SRSM)
Calibration of
- Scalar values
- Global curves
- Full-field calibration
Curve Extraction
- Interface to LS-DYNA output
- Target curve from file
- Interface to gom/ARAMIS
- Crossplots
Curve matching metrics
- Mean Squarred Error
- Curve Mapping (e.g. for hysteretic curves)
- Dynamic Time Warping
Visualization
- History Plot
- Visualization of simulated and target curve
- LSPP fringe plots
|
Examples:
|
|
back to Home
