Nonparametric stochastic modeling of structural dynamic and aeroelastic systems: Formulation and novel extensions

Marc Mignolet, Christian Soize, Kwangkeun Kim, Dong Hwan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This paper addresses the modeling and simulation of random structural dynamic and aeroelastic systems, linear and nonlinear, using the nonparametric methodology. The fundamental theory underlying this approach is first review and its application to linear structural dynamic models is demonstrated. Next, the theory is extended in two distinct directions: i.e. geometrically nonlinear models and an improved characterization of the natural frequencies of random linear systems.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
Pages3155-3164
Number of pages10
Volume3
Publication statusPublished - 2007
Event48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference - Waikiki, HI, United States
Duration: Apr 23 2007Apr 26 2007

Other

Other48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
CountryUnited States
CityWaikiki, HI
Period4/23/074/26/07

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ASJC Scopus subject areas

  • Architecture

Cite this

Mignolet, M., Soize, C., Kim, K., & Lee, D. H. (2007). Nonparametric stochastic modeling of structural dynamic and aeroelastic systems: Formulation and novel extensions. In Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference (Vol. 3, pp. 3155-3164)