Reduced Order Models for Dynamic Behavior of Elastomer Damping Devices - Archive ouverte HAL
Journal Articles Journal of Physics: Conference Series Year : 2016

Reduced Order Models for Dynamic Behavior of Elastomer Damping Devices

Abstract

In the context of passive damping, various mechanical systems from the space industry use elastomer components (shock absorbers, silent blocks, flexible joints...). The material of these devices has frequency, temperature and amplitude dependent characteristics. The associated numerical models, using viscoelastic and hyperelastic constitutive behaviour, may become computationally too expensive during a design process. The aim of this work is to propose efficient reduced viscoelastic models of rubber devices. The first step is to choose an accurate material model that represent the viscoelasticity. The second step is to reduce the rubber device finite element model to a super-element that keeps the frequency dependence. This reduced model is first built by taking into account the fact that the device’s interfaces are much more rigid than the rubber core. To make use of this difference, kinematical constraints enforce the rigid body motion of these interfaces reducing the rubber device model to twelve dofs only on the interfaces (three rotations and three translations per face). Then, the superelement is built by using a component mode synthesis method. As an application, the dynamic behavior of a structure supported by four hourglass shaped rubber devices under harmonic loads is analysed to show the efficiency of the proposed approach.
Fichier principal
Vignette du fichier
Morin_2016_J._Phys. _Conf._Ser._744_012134.pdf (1.71 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04391754 , version 1 (12-01-2024)

Identifiers

Cite

Benjamin Morin, Antoine Legay, Jean-François Deü. Reduced Order Models for Dynamic Behavior of Elastomer Damping Devices. Journal of Physics: Conference Series, 2016, 744, pp.012191. ⟨10.1088/1742-6596/744/1/012134⟩. ⟨hal-04391754⟩
24 View
12 Download

Altmetric

Share

More