Model Correlation and Updating

Kurzfassung

Today, many analysts wish to improve their structural dynamic models using measured experimental modal data. The first step in this process is to correlate the analytical and experimental models followed by the error localization and model updating procedures. In order to perform correlation studies, some basic techniques involving model reduction and expansion need to be identified followed by the implementation of correlation tools. Once the model is correlated with the test data then the task of adjusting the model is undertaken. There are many procedures that have been developed to address the updating procedure. Research is continuing in this area in order to obtain better more robust schemes. The three days of this seminar are directed towards understanding the necessary tools available for correlation and the model updating process. While current and future research directions are briefly presented, the main emphasis of this seminar is the practical utilization of currently available technology. Topics include: - Opportunities and Obstacles in Correlation/Updating - Overview - Analytical Model Reduction Techniques and Expansion of Experimental Modes - Correlation Techniques - Vector, DOF and FRF Correlation Techniques - Analytical Model Improvement Techniques - Localization of Model Change - Sensitivity Analysis Techniques - Modal and Frequency Response Based Model Updating - Error Localization Methods - Practical Issues of Model Updating