Confidence Intervals on Modal Parameters in Stochastic Subspace Identification
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Détails bibliographiques
| Auteur(s): |
Michael Döhler
Binh Xuan Lam Laurent Mevel |
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| Médium: | papier de conférence | ||||
| Langue(s): | anglais | ||||
| Conférence: | IABSE Symposium: Large Structures and Infrastructures for Environmentally Constrained and Urbanised Areas, Venice, Italy, 22-24 September 2010 | ||||
| Publié dans: | IABSE Symposium Venice 2010 | ||||
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| Page(s): | 734-735 | ||||
| Nombre total de pages (du PDF): | 7 | ||||
| Année: | 2010 | ||||
| DOI: | 10.2749/222137810796063535 | ||||
| Abstrait: |
In Operational Modal Analysis, the modal parameters (natural frequencies, damping ratios and mode shapes) obtained from Stochastic Subspace Identification (SSI) of a structure, are afflicted with statistical uncertainty. For evaluating the quality of the obtained results it is essential to know the appropriate confidence intervals of these figures. In this paper we present algorithms that automatically compute the confidence intervals of modal parameters obtained from covariance-driven SSI of a structure based on vibration measurements. With these new algorithms we compute the confidence intervals of the modal parameters of some relevant industrial example. |
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