Simulation of dynamics of beam structures with bolted joints using adjusted Iwan beam elements

Song, Y; Hartwigsen, CJ; McFarland, DM; Vakakis, AF; Bergman, LA

dc.contributor.author	Song, Y	en
dc.contributor.author	Hartwigsen, CJ	en
dc.contributor.author	McFarland, DM	en
dc.contributor.author	Vakakis, AF	en
dc.contributor.author	Bergman, LA	en
dc.date.accessioned	2014-03-01T01:21:24Z
dc.date.available	2014-03-01T01:21:24Z
dc.date.issued	2004	en
dc.identifier.issn	0022-460X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16225
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-2342486078&partnerID=40&md5=ee7188606a128d01a45db2ac16e827a0	en
dc.subject.classification	Acoustics	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.classification	Mechanics	en
dc.subject.other	Adjusted Iwan beam element (AIBE)	en
dc.subject.other	Beam structures	en
dc.subject.other	Frictional sliders	en
dc.subject.other	Multi-layer feed-forward neural network (MLFF)	en
dc.subject.other	Acceleration	en
dc.subject.other	Damping	en
dc.subject.other	Degrees of freedom (mechanics)	en
dc.subject.other	Energy dissipation	en
dc.subject.other	Finite element method	en
dc.subject.other	Hysteresis	en
dc.subject.other	Neural networks	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Particle beams	en
dc.subject.other	Stiffness	en
dc.subject.other	Bolted joints	en
dc.title	Simulation of dynamics of beam structures with bolted joints using adjusted Iwan beam elements	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	Mechanical joints often affect structural response, causing localized non-linear stiffness and damping changes. As many structures are assemblies, incorporating the effects of joints is necessary to produce predictive finite element models. In this paper, we present an adjusted Iwan beam element (AIBE) for dynamic response analysis of beam structures containing joints. The adjusted Iwan model consists of a combination of springs and frictional sliders that exhibits non-linear behavior due to the stick-slip characteristic of the latter. The beam element developed is two-dimensional and consists of two adjusted lwan models and maintains the usual complement of degrees of freedom: transverse displacement and rotation at each of the two nodes. The resulting element includes six parameters, which must be determined. To circumvent the difficulty arising from the non-linear nature of the inverse problem, a multi-layer feed-forward neural network (MLFF) is employed to extract joint parameters from measured structural acceleration responses. A parameter identification procedure is implemented on a beam structure with a bolted joint. In this procedure, acceleration responses at one location on the beam structure due to one known impulsive forcing function are simulated for sets of combinations of varying joint parameters. A MLFF is developed and trained using the patterns of envelope data corresponding to these acceleration histories. The joint parameters are identified through the trained MLFF applied to the measured acceleration response. Then, using the identified joint parameters, acceleration, responses of the jointed beam due to a different impulsive forcing function are predicted. The validity of the identified joint parameters is assessed by comparing simulated acceleration responses with experimental measurements. The capability of the AIBE to capture the effects of bolted joints on the dynamic responses of beam structures, and the efficacy of the MLFF parameter identification procedure, are demonstrated. (C) 2003 Elsevier Ltd. All rights reserved.	en
heal.publisher	ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD	en
heal.journalName	Journal of Sound and Vibration	en
dc.identifier.isi	ISI:000221201000013	en
dc.identifier.volume	273	en
dc.identifier.issue	1-2	en
dc.identifier.spage	249	en
dc.identifier.epage	276	en