▶️ This video illustrates how to analyze large amounts of parametric modal analysis.
🚀 Modern computing and storage capabilities allow performing large design of experiments, numerically and/or experimentally.
👀 During a project, one can thus be led to analyze overwhelmingly large amounts of modal data, hundreds or even thousands of modes extracted from different parametric configurations around a baseline.
⚠️ Without appropriate tools 🔧 the task becomes hazardous as soon as significant mode variation happens.
💡 At SDTools, we have developed mode classification solutions to enable a thorough analysis of such large dataset. Using modal subspace distances, clustering techniques can be employed. The unfathomable pile of modes is then sorted into a few representative mode classes ✅. Besides the simplification, associated parameter distributions are also available!