Skip to Main content Skip to Navigation
Conference papers

Modal analysis updating with an uncertain computational dynamical model and with experiments

Abstract : A methodology which performs the robust updating of complex uncertain dynamical systems with respect to modal experimental data in the context of structural dynamics is constructed. Since both model uncertainties and data uncertainties must be considered in the computational model, then the uncertain computational model is constructed by using the nonparametric probabilistic approach. An extension to the probabilistic case of the input error methodology for modal analysis is presented. Such robust updating formulation leads to solve a mono-objective optimization problem in presence of inequality probabilistic constraints. A numerical application is presented.
Complete list of metadatas

Cited literature [11 references]  Display  Hide  Download

https://hal-upec-upem.archives-ouvertes.fr/hal-00691737
Contributor : Christian Soize <>
Submitted on : Thursday, April 26, 2012 - 10:30:19 PM
Last modification on : Monday, June 1, 2020 - 9:44:02 PM
Long-term archiving on: : Friday, July 27, 2012 - 2:40:53 AM

File

conference-2009-IMAC-Orlando-c...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00691737, version 1

Citation

Evangéline Capiez-Lernout, Christian Soize, Roger Ohayon. Modal analysis updating with an uncertain computational dynamical model and with experiments. IMAC XXVII conference, Feb 2009, Orlando, Florida, United States. pp.1-8. ⟨hal-00691737⟩

Share

Metrics

Record views

200

Files downloads

78