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Online tracking of inputs, states and parameters of structural dynamic systems
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering. Department of Civil Engineering, KU Leuven, Leuven, Belgium.
2019 (English)In: Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018, CRC Press, 2019, p. 211-217Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel filtering algorithm for joint input-state-parameter estimation. The algorithm is derived from an existing joint input-state estimation algorithm. In each step, the system model is linearized around the current state, yielding an algorithm which is similar to the Extended Kalman filter. It is shown that, in the application to linear structural dynamic systems, the analytical expressions for the Jacobian matrices involved in the linearization are readily available due to the choice of parametrization. The proposed methodology is verified by numerical simulations for a four story shear building.

Place, publisher, year, edition, pages
CRC Press, 2019. p. 211-217
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-251840ISI: 000471120400024Scopus ID: 2-s2.0-85063942916ISBN: 9781138626331 (print)OAI: oai:DiVA.org:kth-251840DiVA, id: diva2:1317843
Conference
6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018; Ghent; Belgium; 28 October 2018 through 31 October 2018
Note

QC 20190524

Available from: 2019-05-24 Created: 2019-05-24 Last updated: 2019-10-25Bibliographically approved

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Karlsson, Freddie

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  • apa
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  • de-DE
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  • Other locale
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Output format
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  • asciidoc
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