In this paper, dynamic material constants of 2-parameter Mooney-Rivlin model for elastomeric components are identified in broad frequency range. To consider more practical case, an elastomeric engine mount is used as the case study. Finite element model updating technique using Radial Basis Function neural networks is implemented to predict the dynamic material constants. Material constants of 2-parameter Mooney-Rivlin model are obtained by curve fitting on uni-axial stress-strain curve. The initial estimations of the material constants are achieved by using uni-axial tension test data. To ensure of the consistency of dynamic response of a real component, frequency response function of three similar engine mounts are extracted from experimental modal data and average of them used in the procedure. The results showed that this technique can successfully predict dynamic material constants of Mooney-Rivlin model for elastomeric components.
In this paper, the performance of different hyperelastic constitutive models namely Money-Rivlin, Gent, Ogden and Arruda-Boyce to predict the dynamic characteristic of elastomeric components is investigated. An elastomeric engine mount is chosen as case study. Material Parameters of the different models are extracted by curve fitting on uni-axial stress-strain test data. Both static and dynamic response of the finite element model considering the hyperelastic constitutive models are compared with their measured counterparts and each other. To obtain frequency response function of the component for each model, at first considering proportional damping for elastomeric media, the transient analysis due to impulse excitation is performed on the component and then using FFT transformation, the frequency response function is achieved. The results show that hyperelastic constitutive models can be implemented in predicting both static and dynamic behavior of elastomeric components.
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