Towards full-field frequency based substructuring: an application case

A successful application of experimental substructuring in the frequency domain relies heavily on an adequate choice/number of measured degrees of freedom as well as high-quality acquisitions. The construction of the FRF dataset is commonly performed via impact testing using a modal hammer and accelerometers. In this scenario, the use of intrusive sensors could lead to undesired dynamic effects and represents a serious hindrance to a spatially-rich design of experiments. This paper investigates the use of full-field non-intrusive measurements for Frequency Based Substructuring applications. The use of a high-speed camera enables remote sensing and significantly enhance the measured space. The high level of noise arising from the camera data is treated using both a modal and a singular value-based filtering approach. A sensitivity study of image acquisition and processing parameters is also provided. Benefits, limitations, and potential of the presented strategy are shown in the context of a substructuring coupling example.