Jing, X.J. and Lang, Z.Q. (2008) Frequency domain analysis of a dimensionless cubic nonlinear damping system subject to harmonic input. Research Report. ACSE Research Report no. 971 . Automatic Control and Systems Engineering, University of Sheffield
Abstract
The effects of cubic nonlinear damping on the system output spectrum are theoretically studied through a dimensionless mass-spring-damping system model subject to a harmonic input, based on the Volterra series approximation. It is for the first time shown theoretically that the cubic nonlinear damping has little effect on the system output spectrum at high or low frequencies but drives the system output spectrum to be an alternative series at the natural frequency 1 such that the system output spectrum can be suppressed by the cubic damping.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Keywords: | Cubic nonlinear damping, Output frequency response, Alternative series |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | Miss Anthea Tucker |
Date Deposited: | 26 Oct 2012 15:36 |
Last Modified: | 07 Jun 2014 08:53 |
Status: | Published |
Publisher: | Automatic Control and Systems Engineering, University of Sheffield |
Series Name: | ACSE Research Report no. 971 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:74691 |