ABSTRACT
In many fields of engineering applications active and adaptive systems have been increasingly applied for noise and structural vibration reduction. Commonly, actively or adaptively controlled structural systems consist of large number of components with different functionalities. As the complexity of the systems increases, effective system design and reliability studies become a more complicated task. The knowledge of parameter effects and their interactions is important for the reliability study and the design optimization of such systems. Sensitivity analysis helps the system designer understand interactions between system components and identify the important parameters with significant overall influences on the system performance. The method of Design of Experiments (DoE) is generally applied for performing experimental sensitivity analysis. Applying optimal experimental designs can lead to accurate analysis results and a reduction of time and experimental effort at the same time. In this paper, the sensitivity analysis is performed applying optimal experimental designs for a truss structure test rig with adaptive vibration control to analyze the influences and the interactions of the components and parameters with respect to system performance. Modified constructing methods are developed and applied for creating the optimal experimental designs. The results of these analyses as well as a comparison with the sensitivity analysis using conventional factorial designs will be presented in this paper.
