Engineering and Computer Science Faculty Publications
High Frequency, Multi-axis Dynamic Stiffness Analysis of a Fractionally Damped Elastomeric Isolator Using Continuous System Theory
Document Type
Article
Publication Date
2-17-2017
Journal Title
Journal of Sound and Vibration
ISSN
0022-460X
Volume
389
First Page
468
Last Page
483
DOI
https://doi.org/10.1016/j.jsv.2016.11.025
Abstract
A spectral element approach is proposed to determine the multi-axis dynamic stiffness terms of elastomeric isolators with fractional damping over a broad range of frequencies. The dynamic properties of a class of cylindrical isolators are modeled by using the continuous system theory in terms of homogeneous rods or Timoshenko beams. The transfer matrix type dynamic stiffness expressions are developed from exact harmonic solutions given translational or rotational displacement excitations. Broadband dynamic stiffness magnitudes (say up to 5 kHz) are computationally verified for axial, torsional, shear, flexural, and coupled stiffness terms using a finite element model. Some discrepancies are found between finite element and spectral element models for the axial and flexural motions, illustrating certain limitations of each method. Experimental validation is provided for an isolator with two cylindrical elements (that work primarily in the shear mode) using dynamic measurements, as reported in the prior literature, up to 600 Hz. Superiority of the fractional damping formulation over structural or viscous damping models is illustrated via experimental validation. Finally, the strengths and limitations of the spectral element approach are briefly discussed.
Keywords
High frequency vibration isolator, Spectral element method, Continuous system theory, Viscoelastic materials, Fractional damping
Recommended Citation
Fredette, Luke and Singh, Rajendra, "High Frequency, Multi-axis Dynamic Stiffness Analysis of a Fractionally Damped Elastomeric Isolator Using Continuous System Theory" (2017). Engineering and Computer Science Faculty Publications. 453.
https://digitalcommons.cedarville.edu/engineering_and_computer_science_publications/453