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Comparison of nonlinear methods for reduced-order modeling of geometrically nonlinear structures
Touzé, Cyril; Vizzaccaro, Alessandra; Thomas, Olivier et al.
2022ENOC 2020+2
Peer reviewed
 

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Abstract :
[en] The aim of this contribution is to review and compare three different methods that have been proposed in order to derive reduced-order models for geometrically nonlinear structures, and relying on a nonlinear technique to better take into account the nonlinearities of the initial problem. The three methods are: implicit condensation, quadratic manifold derived with modal derivatives, and projection onto an invariant manifold, tangent at the origin to the linear eigenspace of the master modes. The methods are briefly reviewed theoretically and then compared with dedicated examples
Disciplines :
Mechanical engineering
Author, co-author :
Touzé, Cyril
Vizzaccaro, Alessandra
Thomas, Olivier
Salles, Loïc  ;  Université de Liège - ULiège > Aérospatiale et Mécanique (A&M) ; Skolkovo institute of science and technology
Opreni, Andrea
Shen, Yichang
Frangi, Attilio Alberto
Language :
English
Title :
Comparison of nonlinear methods for reduced-order modeling of geometrically nonlinear structures
Publication date :
2022
Event name :
ENOC 2020+2
Event place :
Lyon, France
Event date :
2022
Audience :
International
Peer review/Selection committee :
Peer reviewed
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since 06 July 2025

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