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Model Updating

 
LMS Virtual.Lab Model Updating is a model correlation and updating tool that improves simulation model quality based on reference data. It easily handles incompatible geometries that occur when comparing test and FE models. Models can be correlated geometrically through alignment, sizing and mapping procedures. The solution provides numerical tools as well as tools to check orthogonality between two models.
 

LMS Virtual.Lab Model Updating

VL Correlation Model Updating 01.jpgLMS Virtual.Lab Model Updating is a model correlation and updating tool that improves simulation model quality based on reference data. With LMS Virtual.Lab Model Updating, analysts can make models that match reality more closely. FE models are first correlated with reference models, which are typically test models, but can also be FE models. The next step is to compute dynamic property sensitivity with respect to design parameter uncertainties. This can be done by inserting a Nastran Sol200 case from LMS Virtual.Lab Desktop. In this way, users can easily define element group properties for sensitivity analysis, including material and property data. Dynamic targets can be the total system mass, a specific eigenfrequency that is poorly correlated, vibration levels for unit load conditions or mode shapes. Sensitivity information is then used to update or optimize the Nastran model to match real-life condition better. For non-Nastran users, the FE model can still be updated or optimized, using LMS Virtual.Lab Optimization.


LMS Virtual.Lab Model Updating easily handles incompatible geometries that typically occur when comparing test and FE models. Models can be correlated geometrically through alignment, sizing and mapping procedures. LMS Virtual. Lab Model Updating provides numerical tools, such as MAC (Modal Assurance Criterion), FRAC (Frequency Response Assurance Criterion) as well as tools to check orthogonality between two models, directly driving the Nastran Guyan reduction. 

The MAC combined with Nastran Sol200 sensitivities for mode shapes and eigenfrequencies helps users to compute and study MAC and frequency difference sensitivity for mode pair sets. These sensitivities help obtain the best dynamic match between two models. LMS Virtual.Lab Model Updating can deal adequately with mode switching during the updating process. This ensures that the correct FE shape is used in correlation with the reference model during the automated updating process.



Features

  • Input design parameters for material and element properties
  • Targets for mass, modal frequencies and vibration levels
  • Modal Assurance Criterion (MAC), Mode Pair Table and MAC Contribution (MACco)
  • Frequency Response Assurance Criterion (FRAC)
  • Frequency difference sensitivity and MAC sensitivity
  • DOE, Response Surface Modeling and several optimization algorithms


Benefits

  • Confirm FE simulation model validity using measurements
  • Identify modeling errors or evaluate modeling strategies
  • Improve Nastran model reliability with integrated optimization capabilities



    Covering a range of industries, LMS application cases let you discover how LMS solutions help our customers solve their real-life engineering challenges.




    Brochures
    Download the LMS Virtual.Lab Introduction Brochure
    Download the LMS Virtual.Lab Correlation Brochure

    Demo Movie
    Model Updating

    Images

    VL Correlation Model Updating 02.jpg VL Correlation Model Updating 03.jpg VL Correlation Model Updating 04.jpg
    Detect areas of bad correlation using MAC contribution. Investigate the sensitivity of dynamic properties towards design parameters. Scan the design space and update the dynamic properties using Virtual.Lab Optimization.




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