Abstract
Usually, the problem of master nodes selection characterizes both computational or experimental modal analyses and defines the numerical properties of reduced models that possess equivalent dynamic properties. Methodologies based on experience are normally used or heavy time-consuming numerical algorithms can be applied. In that paper, the Modal-Geometrical Selection Criterion (MoGeSeC) is applied to a crankshaft, both for an EMA (experimental modal analysis) and for a reduction procedure applied on progressive numerical models. Then the results are compared with other literature criteria and algorithms. The nodes suggested by MoGeSeC and other criteria are used for identification tools of the dynamic behaviour of the crankshaft. In that way MoGeSeC proves to be a very quick and accurate method because the nodes it selects depicts very well modal features of the tested component. The proposed criterion is also applied to the component in order to evaluate the reduced inertia and stiffness matrices and their numerical ill-conditioning is measured. Also in that case MoGeSeC provides the analyzer with a good instrument for identification processes.
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Bonisoli, E., Delprete, C., Rosso, C. (2011). A Modal-Geometrical Selection Criterion for Master Nodes: Numerical and Experimental Testing. In: Proulx, T. (eds) Linking Models and Experiments, Volume 2. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9305-2_20
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DOI: https://doi.org/10.1007/978-1-4419-9305-2_20
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