2013
DOI: 10.1615/int.j.uncertaintyquantification.2012005286
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Uncertainty Quantification in Low-Frequency Dynamics of Complex Beam-Like Structures Having a High-Modal Density

Abstract: To cite this version:Anas Batou, Christian Soize.Uncertainty quantification in low-frequency dynamics of complex beam-like structures having a high-modal density.International Journal for Uncertainty Quantification, Begell House Publishers, 2013, 3 (6)

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Cited by 4 publications
(2 citation statements)
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“…Although originally triggered by the problem of submarine dynamics, the idea quickly sparked interest among the research community and different variants were proposed, such as parametric or nonparametric models [3], with and without spatial memory [4], with random matrices [5], and, for low-frequency range, with numerous local modes [6]. The method has successfully been applied from the automotive industry [7] to fuel pipes [8].…”
Section: Introductionmentioning
confidence: 99%
“…Although originally triggered by the problem of submarine dynamics, the idea quickly sparked interest among the research community and different variants were proposed, such as parametric or nonparametric models [3], with and without spatial memory [4], with random matrices [5], and, for low-frequency range, with numerous local modes [6]. The method has successfully been applied from the automotive industry [7] to fuel pipes [8].…”
Section: Introductionmentioning
confidence: 99%
“…For such complex structures, besides the absence of separation of scales, the global displacements (or global modes) cannot easily be identified because coupled with the large-amplitude local displacements (or local modes). For constructing an adapted reduced-order model of such complex structures, a first version of a two-levels reduced-order model has been proposed [5], and then has been extended and applied to complex mechanical systems [6,7]. Then the methodology has been generalized [8] for constructing multilevel reduced-order models.…”
Section: Introductionmentioning
confidence: 99%