LMS Virtual.Lab Correlation
LMS Virtual.Lab Correlation offers tools to ensure that high-quality FE models are used in a CAE environment and that correct sensor and excitation locations are employed in a dynamic physical structure test environment.
For pre-test analysis, users can create an optimal test geometry from an existing FE model. LMS Virtual.Lab Correlation interactively creates a test wireframe on top of the FE mesh and directly quantifies its quality ccording to relevant mode capturing and modal excitation. In case of poor sensor location set quality, LMS Virtual.Lab Correlation provides an easy way to analyze why the model was off-target. Users can easily change the test geometry and directly assess new quality levels using the MAC (Modal Assurance Criterion). The DPR (Driving Point Residue) criterion is used for the excitation point set.
LMS Virtual.Lab Correlation also lets users easily and quickly compare the dynamic behavior of two models and deal with incompatible meshes (test and/or FE). It helps users to quantitatively articulate the degree of shape correlation using a MAC matrix. If the MAC values are too low to subjectively correlate the modes, the MAC Contribution (MACCo) criterion points out the differences to be examined. In this way, users can verify different modeling assumptions by comparing reference or measurement data. This improves model and simulation reliability. An orthogonality check between two models adds a degree of correlation accuracy by using the mass matrix to compare system dynamics. For this, LMS Virtual.Lab Correlation sets up the Nastran DMIG Solution to obtain reduced system mass matrices required for orthogonality checks between test and FE modes. The FRAC (Frequency Response Assurance Criterion) compares transfer functions between two models and provides information about global stiffness and mass modeling errors.