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

Abstract

Abstract. 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 discussed

Investigating the Performance of Hyperelastic Constitutive Models in Predicting Dynamic Characteristics of Elastomeric Components

“…These models are usually one-dimensional and don't consider internal resonances of the component. Also beam model and elastic solid model [3] with proportional damping have been applied that their dynamic response are better than previous models but still have large difference with actual behavior of elastomeric components .One of the reasons for using these simple models in vibration analysis of structures was reducing the size of model and consequently saving the processing time during transient analysis. However, nowadays the computation speed and storage capacity of computers are so high that using 3-D complex Finite Element model of the structures are not big issue from this point of view.…”