Correlation-Module

An important step within the process is the quality assurance. Within the correlation-module a comparison between original and reduced model, between two different reduced order models and between two different original models is available. A verification with imported measurement data is also possible. For the correlation, over 60 criteria are available. A crucial step is the model preparation, which includes a reliable detection of rigid body modes and a dimension adaptation. By the correlation of models based on a smaller dimension, even large models can be compared efficiently and reliably. Furthermore, by using a mode-pairing and linear combination, the modes of different models are assigned correctly and reliably.

Features:

• methods based on normal frequencies (e.g. NRFD)
• methods based on normal modes (e.g. MAC and variants)
• methods based on frequency response functions (e.g. FDAC)
• Matrizenkriterien (z.B. MMA)
• methods based on system matrices (e.g. MMA)
• automated detection of rigid body modes
• automated dimension adaptation
• correlation based on an intermediate dimension for an efficient and fast evaluation of very large models
• mode-pairing and linear combination for a correct assignment of modes and consideration of a phase shift in case of axisymmetric structures
  
• statistic evaluation and automated determination of valid modes (valid frequency range)
• animation of mode shapes