| Recently, there has been an increased need to develop Parameter Identification methods for improving structural dynamic models. This need has arisen out of the inability of engineers to produce mathematical models which correlate with experimental data. The present research explores the efficiency of combining Component Mode Synthesis (substructuring) methods with Parameter Identification procedures in order to improve analytical modeling of structural components and their connections. Improvements are computed in terms of physical stiffness and damping parameters in order that the physical characteristics of the model can be better understood. Connections involving both viscous and friction damping are investigated.; Substructuring methods are utilized to reduce the complexity of the identification problem. Component and inter-component structural connection properties are evaluated and identified independently, thus simplifying the identification problem. In the present research it was shown that modal test data is effective for identifying modeling problems associated with structural components, and for determining the stiffness and damping properties of inter-component connections. In general, Parameter Identification is improved when greater quantities of experimental data are available. The results of the present research demonstrate the relative ease of generating models which duplicate the experimental data. However, it is difficult to generate physically accurate models. |
