Rubber products are widely used in order to isolate severe vibrations or strong earthquakes. Rubber materials have strong nonlinearities in dynamic and static stiffness properties. Actually, when engineers plan base isolations or vibration isolations, these nonlinearities are approximated as linear. Mullins effect is known as one of strong nonlinear characteristics. Rubber materials subjected to a series of loadings cause stress softening associated with the Mullins effect. It is important for engineers to apply an appropriate and easy analysis method to estimate isolation performances taking account of stiffness softening caused by the Mullins effect. In this study, rubber materials were modeled by two approaches with consideration of stiffness softening caused by the Mullins effect. The FEM analyses to represent the behavior of columnar rubber isolators were conducted. The aptitudes of both approaches and how to model rubber materials for base isolations and vibration isolations are described.
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ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference
October 17–19, 2012
Fort Lauderdale, Florida, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4531-8
PROCEEDINGS PAPER
Estimation of Stiffness of Rubber Isolator With Consideration of Mullins Effect
Kosuke Iwamoto
Kosuke Iwamoto
IHI Corporation, Yokohama, Japan
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Kosuke Iwamoto
IHI Corporation, Yokohama, Japan
Paper No:
DSCC2012-MOVIC2012-8615, pp. 349-356; 8 pages
Published Online:
September 17, 2013
Citation
Iwamoto, K. "Estimation of Stiffness of Rubber Isolator With Consideration of Mullins Effect." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 3: Renewable Energy Systems; Robotics; Robust Control; Single Track Vehicle Dynamics and Control; Stochastic Models, Control and Algorithms in Robotics; Structure Dynamics and Smart Structures; Surgical Robotics; Tire and Suspension Systems Modeling; Vehicle Dynamics and Control; Vibration and Energy; Vibration Control. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 349-356. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8615
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