Identification of a stochastic computational dynamical model using experimental modal data

Abstract : This research is devoted to the identification of a stochastic computational model using experimental eigenfrequencies and mode shapes measured on several specimens. The objective here is to construct a one-to-one correspondence between the results provided by the stochastic computational model and the experimental data that takes into account the random modes crossing and veering phenomena that may occurs from one realization to another one. Then such a correspondence allows the computed modal quantities to be compared with the experimental data in order to identify the parameters of the stochastic computational model. The methodology is applied to a booster pump of thermal units.
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Submitted on : Sunday, September 21, 2014 - 3:31:26 PM
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Anas Batou, Christian Soize, S. Audebert. Identification of a stochastic computational dynamical model using experimental modal data. International Conference on Uncertainty in Structural Dynamics, USD2014, Sep 2014, Leuven, Belgium. pp.1-10. ⟨hal-01066535⟩

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