Delamination detection and growth assessment in composite laminated beams through data-driven vibration structural health monitoring

David García, Irina Trendafilova, Daniel J. Inman

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

This study presents an integrated and reliable Structural Health Monitoring
(SHM) methodology for composite laminated structures that enables
delamination assessment. Most of these structures are subjected to vibrations
and therefore, vibration-based SHM (VSHM) methods present an attractive
possibility. The vibration response is used as an input in the data-driven VSHM
methodology to estimate, based on the output of statistical models, the
development of delamination's behaviour. This study presents a technique based
on Singular Spectrum Analysis (SSA) for a data-driven VSHM methodology.
The methodology decomposes the vibration responses in a certain number of
principal components where the data is better distinguishable. The methodology
has been implemented on the vibration responses measured by embedded
piezoceramic sensors in an experiment with four composite laminated beams.
The size of the delamination has been modified to study its growth. The results
demonstrate a substantial potential of this approach for delamination detection
and growth assessment.
Original languageEnglish
Title of host publication14th International Conference on Engineering Structural Integrity Assessment (ESIA14)
Place of PublicationWarrington
Publication statusPublished - 19 May 2017

Keywords

  • Structural Health Monitoring
  • SHM
  • vibration-based SHM
  • laminated structures

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