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2017 | OriginalPaper | Buchkapitel

Uncertainty Quantification for Force Identification and Response Estimation in Structural Dynamics

verfasst von : K. Maes, G. De Roeck, G. Lombaert

Erschienen in: 14th International Probabilistic Workshop

Verlag: Springer International Publishing

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Abstract

Three sources of uncertainty are present when applying system inversion techniques for force identification and response estimation in structural dynamics; measurement noise, modeling errors, and unmodeled excitation that is acting on the structure besides the forces that are identified. The latter may for example consist of wind loads or other sources of ambient excitation. This paper presents a novel approach for quantification of the estimation uncertainty introduced by measurement noise and unmodeled excitation. The proposed methodology is applied for a state-of-the-art joint input-state estimation algorithm, but can be easily extended to other force identification and response estimation algorithms. The uncertainty on the estimated quantities can be used to design a sensor network and to determine the optimal noise statistics that are applied for joint input-state estimation. A validation is performed using data obtained from full-scale experiments on a footbridge.

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Titel: Uncertainty Quantification for Force Identification and Response Estimation in Structural Dynamics
verfasst von: K. Maes
G. De Roeck
G. Lombaert
Verlag: Springer International Publishing
Buch: 14th International Probabilistic Workshop
Print ISBN: 978-3-319-47885-2

Electronic ISBN: 978-3-319-47886-9

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-47886-9_11

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