Online input and state estimation in structural dynamics

Kristof Maes, Guido De Roeck, Alexandros Iliopoulos, Wout Weijtjens, Christof Devriendt, Geert Lombaert

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

This paper presents two applications of joint input-state estimation in structural dynamics. The considered joint input-state
estimation algorithm relies upon a limited set of response measurements and a system model, and can be applied for online
input and state estimation on structures. In the first case, the algorithm is applied for force identification on a footbridge. The
second case shows an application where strains in the tower of an offshore monopile wind turbine are estimated. In both cases,
real measured data obtained from in situ measurements are used for the estimation. The dynamic system model, used in the
estimation, is for both case studies obtained from a finite element model of the structure. The quality of the force and response
estimates is assessed by comparison with the corresponding measured quantities.
Original languageEnglish
Title of host publicationSpecial Topics in Structural Dynamics, Volume 6
Subtitle of host publicationProceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016
EditorsDario Di Miao, Pablo Tarazaga, Paolo Castellini
Place of Publication-
PublisherSpringer International Publishing
Pages1-10
Number of pages10
Volume6
Edition1
ISBN (Electronic)978-3-319-29910-5
ISBN (Print)978-3-319-29909-9
DOIs
Publication statusPublished - 2016
Event34th International Modal Analysis Conference, IMAC XXXIV - Rozen Plaza, Orlando, Florida, United States
Duration: 25 Jan 201628 Jan 2016

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
PublisherSpringer International Publishing
Number1
Volume6

Conference

Conference34th International Modal Analysis Conference, IMAC XXXIV
CountryUnited States
CityOrlando, Florida
Period25/01/1628/01/16

Keywords

  • joint input-state estimation
  • force identification
  • response estimation
  • system identification
  • application

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