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Computational dynamics in low- and medium-frequency ranges. Reduced-order model and uncertainty quantification
| Content Provider | Semantic Scholar |
|---|---|
| Author | Soize, Christian Arnoux, Axel Avalos, Javier Batou, A. Brie, N. Capiez-Lernout, Evangéline Gagliardini, Laurent Mbaye, Moustapha Mignolet, Marc P. Poloskov, Igor E. |
| Copyright Year | 2014 |
| Abstract | Reduced-order models, substructuring techniques and uncertainty quantification are important aspects in computational dynamics, fluid-structure interactions, vibrations and vibroacoustics. In this framework, we will present the following new aspects: (i) Stochastic reduced-order model in low-frequency dynamics in presence of numerous local elastic modes, for which the high modal density makes the use of the classical modal analysis method not suitable; (ii) New ingredients useful for the nonparametric stochastic modeling of uncertainties (a) for structures with uncertain boundary conditions and/or coupling between substructures and (b) for linear viscoelastic structures in the medium-frequency range; (iii) Bayesian posteriors of uncertainty quantification in computational structural dynamics for low- and medium-frequency ranges. In addition to some illustrations which will be given, three industrial applications will be presented. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://congress.cimne.com/iacm-eccomas2014/admin/files/fileabstract/a1123.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
