Abstract

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.

Highlights

  • In this paper, dynamic material constants of 2-parameter Mooney-Rivlin model for elastomeric components are identified in broad frequency range

  • 2.2 Tests 2.2.1 Tension Test To obtain Mooney-Rivlin constants, present method rely only on the 3-D FE model of the elastomeric sample and experimental FRF(Frequency response function) data and is independent of experimental stress-strain curves, to have initial estimation of Mooney-Rivlin constants, the sample was stretched in the vertical direction(z-direction)

  • It is found that Radial Basis Function Neural Network and banded FRF data can be used successfully in prediction process on real components

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Summary

Modal tests of the samples

Experimental FRF data of the engine mount is obtained by impact hammer test and modal analysis. Tests are done in vertical or z- direction in free-free condition. The natural frequencies of three samples are presented In Table 2. 2.2.3 Modal test of metallic parts of the sample. For the purpose of model updating task (see section 3.1.), the brackets of one of the investigated engine mounts separated from elastomeric part and cleaned FRFs of these metallic parts are obtained using impact hammer test in free-free condition.

FE MODEL
Model updating of metal parts of the engine mounting
Studying the static performance of the sample
RADIAL BASES FUNCTION NEURAL NETWORKS
IDENTIFICATION OF THE MATERIAL CONSTANTS OF THE MOONEY-RIVLIN
CONCLUSION
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