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Experimental Identification of Distributed Damping Matrices Part 2: Experimental Case Studies
Technical Paper
2003-01-1615
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Despite tremendous advances in modern computational technology, there still remain many engineering problems that do not allow numerical solutions of reasonable accuracy. In many of these problems the main difficulty stems from lack of our ability to accurately model damping. Such examples are simulation of structure-borne noise, stability analysis of dynamic systems and numerical prediction of fatigue failure. In these problems small difference in damping description results in a completely different solution, while the current state of the art of damping modeling cannot provide such accuracy.
A new concept, which had been proposed by one of the authors as a potential break-through for damping modeling, is studied in this two-part paper. Advantages of the method and practical issues to overcome are discussed in both papers. The method obtains the damping model directly from measured data; therefore is completely independent of classical damping models. The method can describe the spatial distribution of damping accurately as is, and has a very simple algorithm, which minimizes the effect of numerical and measurement errors. This paper contains an experimental study of the algorithm using a simple structure. Diagnostic tools presented in part 1 will be applied to the experimental data in order to identify data quality and structural properties. The feasibility of the DSM algorithm will also be discussed within the context of current experimental equipment and methods.
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Citation
Hylok, J., Kim, J., and Phillips, A., "Experimental Identification of Distributed Damping Matrices Part 2: Experimental Case Studies," SAE Technical Paper 2003-01-1615, 2003, https://doi.org/10.4271/2003-01-1615.Also In
References
- Lee J.-H Kim J. “Identification of Damping Matrices from Measured Frequency Response Functions” Journal of Sound and Vibration 240 3 545 565 2001
- Lee J.-H Kim J. “Development and Validation of a New Experimental Method to Identify Damping Matrices of a Dynamic System” Journal of Sound and Vibration 246 3 505 524 2001
- Pritz T. “Analysis of Four Parameter Fractional Derivative Model of Real Solid Materials” Journal of Sound and Vibration 195 1 103 115
- Bagley, R. L. Torvik, P.J. “A Theoretical Basis for the Application of Fractional Calculus to Viscoelasticty,” Journal of Rheology 27 201 219