Terzioglu, F. orcid.org/0000-0002-2639-2992 and Rongong, J.A. (2025) Selection of granular damper parameters to achieve optimum vibration attenuation on vibrating structures. Mechanical Systems and Signal Processing, 229. 112512. ISSN 0888-3270
Abstract
This study provides a compact understanding on the factors that influence the non-linear dissipative performance of granular dampers. The work focuses on the two main motion types within the damper: fluidisation and two-sided collective collision. This is accomplished by conducting experiments on a beam with an attached granular damper and by simulating the beam-damper system with a computationally efficient predictive model. The model is validated by comparing results with those from physical experiments. The results demonstrate that damper parameters affect the two motion types in different ways. Current knowledge of damper performance is explained with this view. Remaining uncertainties are investigated and explained using the experimental and numerical approaches. It is shown that the two types of behaviour can be optimised separately from each other, leading to the understanding that existing damper performance charts can be decomposed for damper-level modelling.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Mechanical Systems and Signal Processing is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | optimum particle damping; modal damping prediction; particle damper design |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Mechanical, Aerospace and Civil Engineering |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 27 Feb 2025 15:47 |
Last Modified: | 28 Feb 2025 09:09 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.ymssp.2025.112512 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:223872 |