2008
DOI: 10.1016/j.cma.2008.01.002
|View full text |Cite
|
Sign up to set email alerts
|

Reduced-order models for large-amplitude vibrations of shells including in-plane inertia

Abstract: . Reduced-order models for large-amplitude vibrations of shells including in-plane inertia. Computer Methods in Applied Mechanics and Engineering, Elsevier, 2008, 197 (21-24) AbstractNon-linear normal modes (NNMs) are used in order to derive reduced-order models for large amplitude, geometrically non-linear vibrations of thin shells. The main objective of the paper is to compare the accuracy of different truncations, using linear and non-linear modes, in order to predict the response of shells structures sub… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
47
0

Year Published

2009
2009
2017
2017

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 49 publications
(47 citation statements)
references
References 25 publications
0
47
0
Order By: Relevance
“…These algorithms have been extensively used for computing the forced response and limit cycles of nonlinear dynamical systems [6][7][8][9][10][11]. Doedel and co-workers used them for the computation of periodic orbits during the free response of conservative systems [12,13].…”
Section: Introductionmentioning
confidence: 99%
“…These algorithms have been extensively used for computing the forced response and limit cycles of nonlinear dynamical systems [6][7][8][9][10][11]. Doedel and co-workers used them for the computation of periodic orbits during the free response of conservative systems [12,13].…”
Section: Introductionmentioning
confidence: 99%
“…The most common projection method is modal reduction or truncation [14,15], where the transformation matrix Φ is composed from a subset of linear eigenvectors, see (38). It is widely used in linear structural dynamics, but there is only a limited applicability in nonlinear analysis (see also later examples in Section 5.1).…”
Section: Overview Of Model Order Reduction Methodsmentioning
confidence: 99%
“…In [30] the properties of isogeometric finite element discretizations in the context of linear eigenvalue problems such as (38) were examined already. For one-dimensional rods and beams, it has been shown analytically and numerically that spline-based finite elements are more accurate than Lagrangian finite elements.…”
Section: Modal Analysis Of Eigenfrequenciesmentioning
confidence: 99%
“…2 After application of the nonlinear coordinate change (31a), (31b), the dynamics are expressed with the normal variables (R p , S p ) and are substantially simplified. Moreover, it opens the doors to reduced-order modeling since in the normal dynamics, all invariant-breaking terms have been cancelled; see, e.g., [25][26][27][28]. In the case where no internal resonance exists between the eigenfrequencies {ω p } p=1,...,N of the system (28), the normal dynamics can be reduced to a single master coordinate, say (R p , S p ), by simply cancelling all the others normal coordinates: ∀k = p, R k = S k = 0.…”
Section: Real Normal Formmentioning
confidence: 99%
“…By doing so, V depends only on two variables, which renders the computations much more efficient. In particular, this method could be an alternative if one wants to get an upper bound for a N -dofs problem with N large as, e.g., in [28] where ROMs are derived for shell vibrations problems with routinely N = 20. In that case, computing the full criterion will lead to define a 40-dimensional grid, which will be impossible in a reasonable computation time.…”
Section: Normal Forms and Nonlinear Normal Modesmentioning
confidence: 99%