The controllable fluid dashpot damper performance

Samali, B; Widjaja, J; Reizes, J

The controllable fluid dashpot damper performance

Samali, B

Widjaja, J Reizes, J

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Publication Type:: Journal Article
Citation:: Smart Structures and Systems, 2006, 2 (3), pp. 209 - 224
Issue Date:: 2006-01-01

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Field	Value	Language
dc.contributor.author	Samali, B https://orcid.org/0000-0002-3426-7745	en_US
dc.contributor.author	Widjaja, J	en_US
dc.contributor.author	Reizes, J	en_US
dc.date.issued	2006-01-01	en_US
dc.identifier.citation	Smart Structures and Systems, 2006, 2 (3), pp. 209 - 224	en_US
dc.identifier.issn	1738-1584	en_US
dc.identifier.uri	http://hdl.handle.net/10453/6183
dc.description.abstract	The use of smart dampers to optimally control the response of structures is on the increase. To maximize the potential use of such damper systems, their accurate modeling and assessment of their performance is of vital interest. In this study, the performance of a controllable fluid dashpot damper, in terms of damper forces, damper dynamic range and damping force hysteretic loops, respectively, is studied mathematically. The study employs a damper Bingham-Maxwell (BingMax) model whose mathematical formulation is developed using a Fourier series technique. The technique treats this one-dimensional Navier-Stokes's momentum equation as a linear superposition of initial-boundary value problems (IBVPs): boundary conditions, viscous term, constant Direct Current (DC) induced fluid plug and fluid inertial term. To hold the formulation applicable, the DC current level to the damper is supplied as discrete constants. The formulation and subsequent simulation are validated with experimental results of a commercially available magneto rheological (MR) dashpot damper (Lord model No's RD-1005-3) subjected to a sinusoidal stroke motion using a 'SCHENK' material testing machine in the Materials Laboratory at the University of Technology, Sydney.	en_US
dc.relation.ispartof	Smart Structures and Systems	en_US
dc.relation.isbasedon	10.12989/sss.2006.2.3.209	en_US
dc.subject.classification	Civil Engineering	en_US
dc.title	The controllable fluid dashpot damper performance	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	2	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

The use of smart dampers to optimally control the response of structures is on the increase. To maximize the potential use of such damper systems, their accurate modeling and assessment of their performance is of vital interest. In this study, the performance of a controllable fluid dashpot damper, in terms of damper forces, damper dynamic range and damping force hysteretic loops, respectively, is studied mathematically. The study employs a damper Bingham-Maxwell (BingMax) model whose mathematical formulation is developed using a Fourier series technique. The technique treats this one-dimensional Navier-Stokes's momentum equation as a linear superposition of initial-boundary value problems (IBVPs): boundary conditions, viscous term, constant Direct Current (DC) induced fluid plug and fluid inertial term. To hold the formulation applicable, the DC current level to the damper is supplied as discrete constants. The formulation and subsequent simulation are validated with experimental results of a commercially available magneto rheological (MR) dashpot damper (Lord model No's RD-1005-3) subjected to a sinusoidal stroke motion using a 'SCHENK' material testing machine in the Materials Laboratory at the University of Technology, Sydney.

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http://hdl.handle.net/10453/6183