The Model Update for Nastran software is an advanced correlation tool designed to update finite element models to match real life test data. If your company is conducting both digital (CAE) simulations and real prototype testing, you will benefit greatly from using Model Update to achieve FE model update based on test results (or other calibrated FE model results). Model update helps engineers to model stiffness, mass, and damping in order to match the dynamic behaviour of an assembly properly.
This includes the stiffness, mass, and damping properties of:
Laminate materials
Non-standard, nonlinear, or unknown materials
Bolted and riveted connections
Bonded joints
Various weld connections
Various estimated properties
Engineers often rely on previous experiences or estimated properties for modeling bolted connections, bonded joints and welds.
Model Update reduces the uncertainty factor related to those approximations by finding the best stiffness and damping values for each FE variable.
Model Update also helps locate FE modeling errors such as a wrong material properties, beam cross-section orientations, incorrect thicknesses, and many more.
Engineers can also validate their choice o accelerometer location (reduced test model) to make sure the reduced model captures the complete dynamic behaviour withing the frequency range of interest.
Model Update significantly speeds up the correlation process, particularly for large models with many test files.
Test data may include any combination of:
Frequency
Mode shape
Frequency (response function (FRFs)
Several configurations of the same FE model, each containing separate test and analysis data, may be processed simultaneously. The Nastran model bulk data physical and material properties cards are parsed, and all available Nastran properties can be used as design variables.
Bayesian-based objective function optimizes the selected FE model physical properties to best match the test data while minimizing changes to the FE model.
Finally, the Nastran FE model material and physical properties are updated automatically to the optimum values found by the built-in genetic algorithm, least square optimizer, or gradient-based optimizer.
You can correlate: Test-analysis (main usage) Analysis-analysis (e.g., reduced model against full model) Test-test (pinpoint where the differences are between two tests)
The Model Update for Nastran software is an advanced correlation tool designed to update finite element models to match real life test data. If your company is conducting both digital (CAE) simulations and real prototype testing, you will benefit greatly from using Model Update to achieve FE model update based on test results (or other calibrated FE model results). Model update helps engineers to model stiffness, mass, and damping in order to match the dynamic behaviour of an assembly properly.
This includes the stiffness, mass, and damping properties of:
- Laminate materials
- Non-standard, nonlinear, or unknown materials
- Bolted and riveted connections
- Bonded joints
- Various weld connections
- Various estimated properties
Engineers often rely on previous experiences or estimated properties for modeling bolted connections, bonded joints and welds.
Model Update reduces the uncertainty factor related to those approximations by finding the best stiffness and damping values for each FE variable.
Model Update also helps locate FE modeling errors such as a wrong material properties, beam cross-section orientations, incorrect thicknesses, and many more.
Engineers can also validate their choice o accelerometer location (reduced test model) to make sure the reduced model captures the complete dynamic behaviour withing the frequency range of interest.
Model Update significantly speeds up the correlation process, particularly for large models with many test files.
Test data may include any combination of:
- Frequency
- Mode shape
- Frequency (response function (FRFs)
Several configurations of the same FE model, each containing separate test and analysis data, may be processed simultaneously. The Nastran model bulk data physical and material properties cards are parsed, and all available Nastran properties can be used as design variables.
Bayesian-based objective function optimizes the selected FE model physical properties to best match the test data while minimizing changes to the FE model.
Finally, the Nastran FE model material and physical properties are updated automatically to the optimum values found by the built-in genetic algorithm, least square optimizer, or gradient-based optimizer.
You can correlate:
- Test-analysis (main usage)
- Analysis-analysis (e.g., reduced model against full model)
- Test-test (pinpoint where the differences are between two tests)
