Abstract
Mechanical connections play a significant role in predicting the dynamic characteristics of assembled structures accurately. Therefore, several methods were developed to determine equivalent dynamic models for joints. In this paper an experimental identification method based on FRF decoupling and optimization algorithm is proposed for modeling structural joints. The method developed is an extension of the method proposed by the authors in an earlier work. In the method proposed in our earlier work FRFs of two substructures connected with a bolted joint are measured, while the FRFs of the substructures are obtained analytically or experimentally. Then the joint properties are calculated in terms of translational, rotational and cross-coupling stiffness and damping values by using FRF decoupling. In this present work, an optimization algorithm is used to update the values obtained from FRF decoupling. The validity and application of the proposed method are demonstrated with experimental case studies. Furthermore, the effects of bolt size on joint dynamics are also studied by making a series of experiments and identifying the joint parameters for each case.
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Tol, Ş., Özgüven, H.N. (2014). Experimental Verification and Improvement of Dynamic Characterization Method for Structural Joints. In: Allemang, R., De Clerck, J., Niezrecki, C., Wicks, A. (eds) Topics in Modal Analysis, Volume 7. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6585-0_57
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DOI: https://doi.org/10.1007/978-1-4614-6585-0_57
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