Reference : Identification of mechanical systems with local nonlinearities through discrete-time ...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Aerospace & aeronautics engineering
http://hdl.handle.net/2268/151792
Identification of mechanical systems with local nonlinearities through discrete-time Volterra series and Kautz functions
English
Shiki, Sidney Bruce [Universidade Estadual Paulista > Faculdade de Engenharia de Ilha Solteira > Grupo de Materiais e Sistemas Inteligentes > >]
Noël, Jean-Philippe mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux >]
Kerschen, Gaëtan mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux >]
Lopes Junior, Vicente [Universidade Estadual Paulista > Faculdade de Engenharia de Ilha Solteira > Grupo de Materiais e Sistemas Inteligentes > >]
da Silva, Samuel [Universidade Estadual Paulista > Faculdade de Engenharia de Ilha Solteira > Grupo de Materiais e Sistemas Inteligentes > >]
Jul-2013
Proceedings of the 11th International Conference on Recent Advances in Structural Dynamics
Yes
No
International
11th International Conference on Recent Advances in Structural Dynamics
1 - 3 July 2013
Pisa
Italy
[en] System identification ; Nonlinear structures ; Volterra series ; Kautz filters ; Model updating
[en] Mathematical modeling of mechanical structures is an important research area in structural dynamics. One of the goals of this area is to obtain a model that accurately predicts the dynamics of the system. However, the nonlinear eff ects caused by large displacements and boundary conditions like gap, backlash or joint are not as well understood as the linear counterpart. This paper identifies a non-parametric discrete-time Volterra model of a benchmark nonlinear structure consisting of a cantilever beam connected to a thin beam at its free end. Time-domain data experimentally measured are used to identify the Volterra kernels, which are expanded with orthogonal Kautz functions to facilitate the identification process. The nonlinear parameters are then estimated through a model updating process involving optimization of the residue between the numerical and experimental kernels. The advantages and drawbacks of the Volterra series for modeling the behavior of nonlinear structures are finally indicated with suggestions to overcome the disadvantages found during the tests.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/151792

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
P32_2013_Pisa_RASD_Volterra.pdfAuthor preprint1.99 MBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.