2020
DOI: 10.1007/s00466-020-01902-5
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Non-intrusive reduced order modelling for the dynamics of geometrically nonlinear flat structures using three-dimensional finite elements

Abstract: Non-intrusive methods have been used since two decades to derive reduced-order models for geometrically nonlinear structures, with a particular emphasis on the so-called STiffness Evaluation Procedure (STEP), relying on the static application of prescribed displacements in a finite-element context. We show that a particularly slow convergence of the modal expansion is observed when applying the method with 3D elements, because of nonlinear couplings occurring with very high frequency modes involving 3D thickne… Show more

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Cited by 57 publications
(78 citation statements)
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References 48 publications
(119 reference statements)
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“…where Ξ stands for the quadratic nonlinear mapping, and Φ is the N × m matrix of the master eigenvectors only, i.e., it is the restriction of P φ to the m selected master modes; Θ ij = (Θ ij + Θ ji )/2 is the symmetrized MD. The reduced-order dynamics are obtained by applying the second-order nonlinear mapping (10) to the original equations of motion (1).…”
Section: Reduction With the Quadratic Manifoldmentioning
confidence: 99%
See 1 more Smart Citation
“…where Ξ stands for the quadratic nonlinear mapping, and Φ is the N × m matrix of the master eigenvectors only, i.e., it is the restriction of P φ to the m selected master modes; Θ ij = (Θ ij + Θ ji )/2 is the symmetrized MD. The reduced-order dynamics are obtained by applying the second-order nonlinear mapping (10) to the original equations of motion (1).…”
Section: Reduction With the Quadratic Manifoldmentioning
confidence: 99%
“…Model reduction methods have been investigated for a long time for thin structures experiencing large-amplitude vibrations with geometric nonlinearities [1,2]. The two main identified difficulties are that the nonlinearity is distributed, and that the dynamical phenomena displayed by these nonlinear vibrations are numerous, including jump phenomena [3], bifurcations of solutions [4,5], internal resonance and modal interactions [6][7][8][9], strong couplings [10], transition to chaos [11,12], and wave turbulence [13]. Consequently, deriving accurate and predictive reduced-order models (ROMs) requires tackling these two problems in such a manner that the possible dynamics of the ROM can mimic all of the complexity of the full-order solution.…”
Section: Introductionmentioning
confidence: 99%
“…[4,5] to cite only two examples. Unfortunately, the loss of invariance of linear eigenspaces, expressed through important nonlinear coupling terms that may happen with high-frequency modes [6], makes this approach not efficient in terms of accuracy [7,8,9,2,10]. The Proper Orthogonal Decomposition (POD) method offers a gain since being able to modify slightly the orientation of the subspaces to better fit the curvatures of the nonlinear data, but it is still restricted to the use of linear orthogonal subspaces [11,12,13,14].…”
Section: Introductionmentioning
confidence: 99%
“…Stress values and numerical solutions of hooks under static and dynamic loads are commonly performed today with ABAQUS and ANSYS analysis programs. For deriving reduced models for geometrically nonlinear structures nearly twenty years in a sequential, predetermined displacements of a finite element static and dynamic applications in the finite element method has been used [42]. In Figure 14-15-16-17-18, studies on some FEM were examined.…”
Section: Finite Element Methods (Fem)mentioning
confidence: 99%