Nonparametric stochastic modeling of structures with uncertain boundary conditions / coupling between substructures
| Autor: | Marc P. Mignolet, Christian Soize, Javier Avalos |
|---|---|
| Přispěvatelé: | Fac Mech & Aerosp Engn, Arizona State University [Tempe] (ASU)-Arizona State University [Tempe] (ASU), Laboratoire de Modélisation et Simulation Multi Echelle (MSME), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Paris-Est Marne-la-Vallée (UPEM), Instituto Technológico y de Estudios Superiores de Occidente (ITESO), Arizona State University [Tempe] (ASU), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Stochastic modelling
uncertainty quantification Monte Carlo method Aerospace Engineering 020101 civil engineering Probability density function 02 engineering and technology 01 natural sciences 010305 fluids & plasmas 0201 civil engineering uncertain coupling between substructures Control theory 0103 physical sciences Applied mathematics Boundary value problem Uncertainty quantification uncertain boundary conditions Mathematics Coupling Flexibility (engineering) nonparametric uncertainties Nonparametric statistics [SPI.MECA.VIBR]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Vibrations [physics.class-ph] [SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph] structural dynamics [MATH.MATH-PR]Mathematics [math]/Probability [math.PR] |
| Zdroj: | AIAA Journal AIAA Journal, American Institute of Aeronautics and Astronautics, 2013, 51 (6), pp.1296-1308. ⟨10.2514/1.J051555⟩ |
| ISSN: | 0001-1452 1533-385X |
| Popis: | International audience; The focus of this investigation is on the formulation and validation of a novel approach for the inclusion of uncertainty in the modeling of the boundary conditions of linear structures and of the coupling between linear substructures. This work is particularly relevant to complex structures assembled from simpler substructures as in aerospace applications. First, a mean structural dynamic model that includes boundary condition/coupling flexibility is obtained using classical substructuring concepts. The application of the nonparametric stochastic modeling approach to this mean model is next described and thus permits the consideration of both model and parameter uncertainty. Finally, a dedicated identification procedure is proposed to estimate the two parameters of this stochastic model, i.e. the mean boundary condition/coupling flexibility and the overall level of uncertainty. The methodology is demonstrated on three different structural dynamic models, i.e. of a rectangular plate and of two different wings. |
| Databáze: | OpenAIRE |
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