This research develops a dynamic simulation model to predict behavior in damping elements, suggesting improved accuracy for elastomer components.
Damping elements made of elastomers are commonly used in dynamic systems such as vehicles or centrifuges. Numerical simulation methods, particularly multi-body simulation (MBS), are employed to predict loads and kinematic quantities in these technical systems. This requires knowledge of mass, damping and stiffness properties. Therefore, accurately mod-eling elastomer components is essential for achieving high prediction accuracy. However, the complex and extremely non-linear material behavior of elastomers [1] demands material models capable of replicating these mechanical proper-ties. In addition, one-dimensional models may not suffice for modeling damping elements under multi-axial loading [2,3]. To enhance the prediction accuracy of MBS by incorporating these nonlinearities, the first step is to establish an MBS model for the dynamic system, using a laboratory centrifuge as an example. This forms the basis for gradually increasing the modeling depth, starting from a simple rheological model with the objective of substituting it with a physically-motivated material model. Material and component tests are conducted to determine the dynamic properties of two vari-ants of rubber bushings. For validation, a run-up of the test centrifuge is experimentally investigated and compared with the simulation results.
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Niemeyer et al. (2026) studied this question.
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