Reference : Computation of nonlinear normal modes, part II: numerical continuation in Auto
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Computer science
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/18747
Computation of nonlinear normal modes, part II: numerical continuation in Auto
English
Serandour, Guillaume [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures > > > >]
Peeters, Maxime [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures >]
Kerschen, Gaëtan mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux >]
Golinval, Jean-Claude mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures >]
2008
Sixth EUROMECH Nonlinear Dynamics Conference, Saint Petersbourg, 2008
Yes
International
Sixth EUROMECH Nonlinear Dynamics Conference
June, 30–July, 4 2008
ENOC-2008
Saint-Petersburg
Russia
[en] Nonlinear normal modes ; periodic solution ; numerical computation ; orthogonal collocation ; continuation techniques ; AUTO software
[en] The concept of nonlinear normal modes (NNMs) is discussed in the present paper and its companion, Part I. Because there is virtually no application of the NNMs to large-scale engineering structures, these papers are an attempt to highlight one aspect that might drive their development in the future. Specifically, we support that numerical methods for the continuation of periodic solutions pave the way for an effective and practical computation of NNMs. In this context, we show that the NNMs computation is possible using an existing continuation software, namely AUTO07. This is demonstrated using a 2DOF nonlinear system. The results are compared with those obtained with the Matlab algorithm described in Part I.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/18747

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