In the past few years various methods of identifying structural dynamics models from modal testing data have appeared.
Quantitative clinical data follow a wide variety of distributions, but the majority are unimodal, meaning that the data has a single (modal) peak with a tail on either side.
It has been realized that the modal data included in damage identification analysis have a great influence on the accuracy of identification results.
Moreover, the performance of the method has been verified through using experimental modal data of a plate.
A system identification method has been proposed to validate finite element models of complex structures using measured modal data.
You can download the modal data here.
Otherwise, modal data will be complex quantities.
The extracted modal data from experimental modal testing are usually complex values.
In general, modal data are obtained through either experimental or operational modal testing (Ewins 2000; He and Fu 2001).
The design criteria were similar to those required for patient-reported quality of life measures [ 18, 19], and in particular that it should be clear, brief, generic, suitable for frequent use, support multi-modal data collection, be responsive and have good psychometric properties.
