Damage Identification for Offshore Structure via FE-aided Kalman Filter

Luigi Caglio, Amirali Sadeqi, Henrik Stang, Jesper Tychsen, Jurgen Svejgaard Nielsen, Evangelos Katsanos

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

This paper presents the application of a recently developed framework for nonlinear input-state estimation, namely a Finite Element (FE)-aided Kalman Filter, for the estimation of the nonlinear response of an offshore jacket structure subjected to strong waves and experiencing structural damage. The outcome of the framework consists of estimated dynamic responses and of nonlinear FE analysis outputs. The latter can be used for the identification of the structural damage, which can then be compared with the true one. Two applications are presented in this paper: one considering only acceleration measurements and one considering acceleration and velocity measurements.
Original languageEnglish
JournalInternational Journal of Offshore and Polar Engineering
Volume34
Issue number4
Pages (from-to)344-351
ISSN1053-5381
DOIs
Publication statusPublished - 2024

Keywords

  • Damage identification
  • Nonlinear system
  • State estimation
  • Unknown input
  • Augmented Extended Kalman Filter
  • Nonlinear finite element model
  • Structural health monitoring

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