Ensuring reliable validity of an FE model is essential for realistic noise and vibration simulations of systems or vehicles. This requires that component, subsystem and full-system models are compared to experimental data or to validated models of similar structures. LMS Virtual.Lab Model Validation analyzes FE model correlation, providing a range of tools to compare dynamic characteristics of models, for both traditional Test/FE correlation and for FE-FE and Test-Test correlation.
LMS Virtual.Lab Model Validation easily handles incompatible geometries that typically occur when comparing test and FE models. Models can be correlated geometrically through alignment, sizing and mapping procedures.
Furthermore, LMS Virtual.Lab Model Validation provides visual side-by-side animation of the dynamics of the two models as well as numerical tools such as MAC (Modal Assurance Criterion) to assess the modal correlation between the two models. MACco then allows identifying areas in the model that do not correlate well and that can potentially improve correlation. The Orthogonality Check between two models adds a degree of correlation accuracy by using the mass matrix for comparing the dynamics of the systems. For this, LMS Virtual.Lab Model Validation sets-up the Nastran DMIG Solution to obtain the reduced system mass matrices needed for performing orthogonality checks between Test and FE modes.
FRAC (Freqeuncy Response Assucance Criterion) compares Transfer Functions from two models, e.g. Test with FE. Low FRAC values indicate low dynamic correlation between the models. Furthermore, the FRAC tools provide information on global stiffness and mass modeling errors.
All of these capabilities result in an assessment of simulation model quality based on modes and frequency responses, and a guided means to update simulation models, with insights gained from prototype testing. LMS Virtual.Lab Model Validation supports users in validating their system models from the bottom up, and in preventing the accumulation of modeling inaccuracies.
