Optimum positioning of actuators in tall buildings using genetic algorithm

Liu, DK; Yang, YL; Li, QS

Optimum positioning of actuators in tall buildings using genetic algorithm

Liu, DK

Yang, YL Li, QS

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Publication Type:: Journal Article
Citation:: Computers and Structures, 2003, 81 (32), pp. 2823 - 2827
Issue Date:: 2003-12-01

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Field	Value	Language
dc.contributor.author	Liu, DK https://orcid.org/0000-0002-1581-5582	en_US
dc.contributor.author	Yang, YL	en_US
dc.contributor.author	Li, QS	en_US
dc.date.issued	2003-12-01	en_US
dc.identifier.citation	Computers and Structures, 2003, 81 (32), pp. 2823 - 2827	en_US
dc.identifier.issn	0045-7949	en_US
dc.identifier.uri	http://hdl.handle.net/10453/4277
dc.description.abstract	An effective method for determining the optimal position of actuators in tall buildings using genetic algorithm is introduced through the formulation of a discrete and non-linear optimization problem. The simulation study is carried out for a 16-story building under 18 different earthquake excitations. The effects of different earthquake excitations on the optimal placement of actuators and on the proposed optimization algorithm are thus examined. © 2003 Elsevier Ltd. All rights reserved.	en_US
dc.relation.ispartof	Computers and Structures	en_US
dc.relation.isbasedon	10.1016/j.compstruc.2003.07.002	en_US
dc.subject.classification	Applied Mathematics	en_US
dc.title	Optimum positioning of actuators in tall buildings using genetic algorithm	en_US
dc.type	Journal Article
utslib.citation.volume	32	en_US
utslib.citation.volume	81	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0913 Mechanical Engineering	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 Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	closed_access
pubs.issue	32	en_US
pubs.publication-status	Published	en_US
pubs.volume	81	en_US

Abstract:

An effective method for determining the optimal position of actuators in tall buildings using genetic algorithm is introduced through the formulation of a discrete and non-linear optimization problem. The simulation study is carried out for a 16-story building under 18 different earthquake excitations. The effects of different earthquake excitations on the optimal placement of actuators and on the proposed optimization algorithm are thus examined. © 2003 Elsevier Ltd. All rights reserved.

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http://hdl.handle.net/10453/4277