Following up on previous post presenting our two-step standardized strategy to tackle parametric EMA, this one illustrates its implementation where the varying parameter is the temperature.
📝 The data is part of our tutorials for parametric experimental modal analysis on the GARTEUR test case with temperature dependency. The test being MIMO, the transfers span a frequency band, outputs, inputs, and several temperatures, making it a 4D database.
💡 Data are split into MIMO transfer blocks corresponding to each temperature value. The two-step algorithm is then performed:
1- Transfers corresponding to the first temperature are loaded and EMA is performed (here using the automatic interpretation of LSCF stabilization diagram).
2- Automatic optimizations of poles from current temperature to the next are sequentially performed.
▶ The following video shows the use of this algorithm using GUI.
This algorithm has also been applied to analyze
👉 Modal property dispersion in batches of similar components
👉 Mode tracking with excitation amplitude level
👉 Other currently ongoing projects
We will showcase other applications in later posts, stay tuned !