In order to obtain a finite element (FE) model that can more accurately describe structural behaviors, experimental data
measured from the actual structure can be used to update the FE model. The process is known as FE model updating. In
this paper, a frequency response function (FRF)-based model updating approach is presented. The approach attempts to
minimize the difference between analytical and experimental FRFs, while the experimental FRFs are calculated using
simultaneously measured dynamic excitation and corresponding structural responses. In this study, the FRF-based model
updating method is validated through laboratory experiments on a four-story shear-frame structure. To obtain the
experimental FRFs, shake table tests and impact hammer tests are performed. The FRF-based model updating method is
shown to successfully update the stiffness, mass and damping parameters of the four-story structure, so that the analytical
and experimental FRFs match well with each other.
Yu Hong, Xi Liu, Xinjun Dong, Yang Wang, and Qianhui Pu, "Experimental model updating using frequency response functions," Proc. SPIE 9803, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016, 980325 (Presented at SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring: March 23, 2016; Published: 20 April 2016); https://doi.org/10.1117/12.2219364.
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