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A three-dimensional nonlinear reduced-order predictive joint model

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dc.contributor.author Song, Y en
dc.contributor.author Hartwigsen, CJ en
dc.contributor.author Bergman, LA en
dc.contributor.author Vakakis, AF en
dc.date.accessioned 2014-03-01T01:52:57Z
dc.date.available 2014-03-01T01:52:57Z
dc.date.issued 2003 en
dc.identifier.issn 16713664 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/26792
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-4243160298&partnerID=40&md5=39f445a1e49d87f229eceb0be9c182d3 en
dc.subject Adjusted iwan beam element (AIBE) en
dc.subject Bolted joints en
dc.subject Multi-layer feed-forward neural networks (MLFF) en
dc.subject Nonlinear dynamic analysis en
dc.subject Parameter identification en
dc.subject.other Acceleration en
dc.subject.other Bolted joints en
dc.subject.other Computer simulation en
dc.subject.other Feedforward neural networks en
dc.subject.other Finite element method en
dc.subject.other Identification (control systems) en
dc.subject.other Multilayer neural networks en
dc.subject.other Rotation en
dc.subject.other Structural analysis en
dc.subject.other Vibrations (mechanical) en
dc.subject.other Adjusted Iwan beam element (AIBE) en
dc.subject.other Impulsive loading en
dc.subject.other Multi-layer feed-forward neural networks (MLFF) en
dc.subject.other Nonlinear dynamic analysis en
dc.subject.other Earthquakes en
dc.title A three-dimensional nonlinear reduced-order predictive joint model en
heal.type journalArticle en
heal.publicationDate 2003 en
heal.abstract Mechanical joints can have significant effects on the dynamics of assembled structures. However, the lack of efficacious predictive dynamic models for joints hinders accurate prediction of their dynamic behavior. The goal of our work is to develop physics-based, reduced-order, finite element models that are capable of replicating the effects of joints on vibrating structures. The authors recently developed the so-called two-dimensional adjusted Iwan beam element (2-D AIBE) to simulate the hysteretic behavior of bolted joints in 2-D beam structures. In this paper, 2-D AIBE is extended to three-dimensional cases by formulating a three-dimensional adjusted Iwan beam element (3-D AIBE). Impulsive loading experiments are applied to a jointed frame structure and a beam structure containing the same joint. The frame is subjected to excitation out of plane so that the joint is under rotation and single axis bending. By assuming that the rotation in the joint is linear elastic, the parameters of the joint associated with bending in the frame are identified from acceleration responses of the jointed beam structure, using a multi-layer feed-forward neural network (MLFF). Numerical simulation is then performed on the frame structure using the identified parameters. The good agreement between the simulated and experimental impulsive acceleration responses of the frame structure validates the efficacy of the presented 3-D AIBE, and indicates that the model can potentially be applied to more complex structural systems with joint parameters identified from a relatively simple structure. en
heal.journalName Earthquake Engineering and Engineering Vibration en
dc.identifier.volume 2 en
dc.identifier.issue 1 en
dc.identifier.spage 59 en
dc.identifier.epage 73 en


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