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In this paper, the capabilities of different dynamic analytical models to  approximate experimentally measured FRFs of elastomeric engine mounts of a  passenger car are investigated. Artificial neural networks is used in  identifying the dynamic characteristics of each model. Impact hammer test is  implemented to extract measured FRFs and harmonic analysis is used to get the  counterpart response of the models. Here linear and orthotropic material  properties are considered for elastomeric media. The frequency response  functions of updated models are compared with experimentally detected ones and  advantages and limitations of each model to simulate the real dynamic behaviour  of elastomeric engine mounts are discusse

Selecting appropriate dynamic model for elastomeric engine mounts to approximate experimental FRF data of them