Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729518
Title: Analysis and evaluation of multi-strand beams under static and dynamic loading
Author: Asker, Haval
ISNI:       0000 0004 6495 3281
Awarding Body: University of Sheffield
Current Institution: University of Sheffield
Date of Award: 2017
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Abstract:
Multi-strand systems include, but are not limited to, beam-like structure (special composites) or wire-like structure (mechanical cables and electrical wires), constructed from many long strands that are constrained rather than bonded, can provide appreciable levels of damping through the friction in the interfacial surfaces between the individual strands. These systems are generally metallic to provide dry friction damping over significantly wider working temperature ranges than is typical for common damping materials such as viscoelastic polymers. This work proposes an analytical model that describes the frictional damping behaviour of multi-strand system constructed from strands that have square and circular cross-sections. The analytical models predict the frictional system stiffness under simply supported configuration. This is followed by systematic quasi-static experiments and numerical investigations using standard finite element analyses. Simple Coulomb friction is assumed at the interfaces. Dynamic loss factors for multi-strand beams and multi-strand wires are obtained by performing forced vibration tests and are found (the loss factors) to be insensitive of the frequency. The analytical models in this study show preference in describing multi-strand systems due to some limitations in the experimental and numerical representations. This thesis provides a vital and necessary insight into the physics for stranded structures and materials that are largely prevalent in mechanical (e.g. cables) and electrical (e.g. wires) elements.
Supervisor: Rongong, Jem ; Lord, Charles Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.729518  DOI: Not available
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