Article (Scientific journals)
A new, challenging benchmark for nonlinear system identification
Tiso, Paolo; Noël, Jean-Philippe
2017In Mechanical Systems and Signal Processing, 84, p. 185-193
Peer Reviewed verified by ORBi
 

Files


Full Text
J8_2016_MSSP_Benchmark.pdf
Publisher postprint (6.28 MB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Nonlinear system identification; Structural dynamics; Benchmark; Localised nonlinearity; Distributed nonlinearity; Buckling; Large deformations
Abstract :
[en] The progress accomplished during the past decade in nonlinear system identi fication in structural dynamics is considerable. The objective of the present paper is to consolidate this progress by challenging the community through a new benchmark structure exhibiting complex nonlinear dynamics. The proposed structure consists of two o ffset cantilevered beams connected by a highly flexible element. For increasing forcing amplitudes, the system sequentially features linear behaviour, localised nonlinearity associated with the buckling of the connecting element, and distributed nonlinearity resulting from large elastic deformations across the structure. A finite element-based code with time integration capabilities is made available at http://sem.org/TDIV-Nonlin.asp. This code permits the numerical simulation of the benchmark dynamics in response to arbitrary excitation signals.
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
Tiso, Paolo;  ETH Zurich > Institute for Mechanical Systems
Noël, Jean-Philippe ;  Université de Liège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux
Language :
English
Title :
A new, challenging benchmark for nonlinear system identification
Publication date :
2017
Journal title :
Mechanical Systems and Signal Processing
ISSN :
0888-3270
eISSN :
1096-1216
Publisher :
Academic Press, London, United Kingdom
Volume :
84
Pages :
185-193
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Available on ORBi :
since 23 September 2016

Statistics


Number of views
90 (10 by ULiège)
Number of downloads
2 (1 by ULiège)

Scopus citations®
 
8
Scopus citations®
without self-citations
8
OpenCitations
 
9

Bibliography


Similar publications



Contact ORBi