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Nonparametric stochastic modeling of geometrically nonlinear structural dynamic systems

M. P. Mignolet 1 Christian Soize 2 
1 Fac Mech & Aerosp Engn
Fac Mech & Aerosp Engn
2 Mechanics
LaM - Laboratoire de Mécanique
Abstract : The formulation of this nonparametric approach is described first for reduced order models of arbitrary geometrically nonlinear systems. It is then particularize for plates and beams undergoing moderate rotations with the von Karman strain definition. The application of these concepts to a beam subjected to a broad band deterministic excitation is presented which highlight the features of the nonparametric methodology.
keyword : uncertainty quantification computational mechanics
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Conference papers
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https://hal-upec-upem.archives-ouvertes.fr/hal-00698787
Contributor : Christian Soize Connect in order to contact the contributor
Submitted on : Thursday, May 17, 2012 - 8:17:41 PM
Last modification on : Saturday, January 15, 2022 - 4:04:29 AM

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  • HAL Id : hal-00698787, version 1

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M. P. Mignolet, Christian Soize. Nonparametric stochastic modeling of geometrically nonlinear structural dynamic systems. 7th World Congress on Computational Mechanics (WCCM), California USA July 16-22, 2006, Jul 2006, Los Angeles, United States. pp.2. ⟨hal-00698787⟩

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