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Integration, identification, and assessment of generalized damped systems using an online algorithm

Marios Impraimakis, Andrew W. Smyth

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Abstract

A holistic procedure is examined herein for the integration, the identification, and the assessment of systems with generalized damping models. The structural damage detection benefits of damping within the generalized modeling concept are also investigated. In this procedure, a matrix formulation is constructed for the system integration suitable for nonlinear operators, multiple models, and fractional order derivative models. The online and time-domain identification is provided by a modified unscented Kalman filter based on the integration analysis, while the online assessment of the various models is addressed using the Kullback–Leibler divergence.

Original languageEnglish
Article number116696
JournalJournal of Sound and Vibration
Volume523
Early online date10 Jan 2022
DOIs
Publication statusPublished - 14 Apr 2022

Acknowledgements

They would also like to thank John T. Katsikadelis for the discussion on benchmark integro-differential equation problems

Funding

The authors would like to acknowledge the support of the U.S. National Science Foundation, which partially supported this research under Grant No. CMMI-1563364.

Keywords

  • Damage detection
  • Fractional order derivative damping
  • Generalized-nonviscous damping
  • Integrodifferential equations
  • Kalman filtering online identification
  • Model selection-assessment

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanics of Materials
  • Acoustics and Ultrasonics
  • Mechanical Engineering

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