MR damper optimal placement for semi-active control of buildings using an efficient multi-objective binary genetic algorithm

Kwok, NM; Ha, QP; Samali, B

MR damper optimal placement for semi-active control of buildings using an efficient multi-objective binary genetic algorithm

Kwok, NM Ha, QP

Samali, B

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Publication Type:: Conference Proceeding
Citation:: Automation and Robotics in Construction - Proceedings of the 24th International Symposium on Automation and Robotics in Construction, 2007, pp. 361 - 367
Issue Date:: 2007-12-01

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Field	Value	Language
dc.contributor.author	Kwok, NM	en_US
dc.contributor.author	Ha, QP https://orcid.org/0000-0003-0978-1758	en_US
dc.contributor.author	Samali, B https://orcid.org/0000-0002-3426-7745	en_US
dc.date.issued	2007-12-01	en_US
dc.identifier.citation	Automation and Robotics in Construction - Proceedings of the 24th International Symposium on Automation and Robotics in Construction, 2007, pp. 361 - 367	en_US
dc.identifier.isbn	9788190423519	en_US
dc.identifier.uri	http://hdl.handle.net/10453/7085
dc.description.abstract	In order to ensure the survival of building structures during earthquake periods, induced vibrations have to be mitigated. In this regard, semi-active control of smart structures using magneto-rheological dampers is becoming an emerging technology. Improvements on vibration reduction are foreshadowed when the dampers are installed at critical locations on the building structure. In this paper, the placement of dampers is cast as a multi-objective optimization problem in the sense of minimum resultant vibration magnitudes and with a minimum number of dampers. A binary-coded genetic algorithm is employed as the optimizer owing to its computational flexibility and high performance. Simulation results are included to illustrate the effectiveness of the proposed approach on a high-rise building model subject to benchmark earthquake records.	en_US
dc.relation.ispartof	Automation and Robotics in Construction - Proceedings of the 24th International Symposium on Automation and Robotics in Construction	en_US
dc.title	MR damper optimal placement for semi-active control of buildings using an efficient multi-objective binary genetic algorithm	en_US
dc.type	Conference Proceeding
utslib.for	0905 Civil Engineering	en_US
dc.location.activity	Kochi	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
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

In order to ensure the survival of building structures during earthquake periods, induced vibrations have to be mitigated. In this regard, semi-active control of smart structures using magneto-rheological dampers is becoming an emerging technology. Improvements on vibration reduction are foreshadowed when the dampers are installed at critical locations on the building structure. In this paper, the placement of dampers is cast as a multi-objective optimization problem in the sense of minimum resultant vibration magnitudes and with a minimum number of dampers. A binary-coded genetic algorithm is employed as the optimizer owing to its computational flexibility and high performance. Simulation results are included to illustrate the effectiveness of the proposed approach on a high-rise building model subject to benchmark earthquake records.

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http://hdl.handle.net/10453/7085