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

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.
LanguageEnglish
Title of host publication14th International Conference on Engineering Structural Integrity Assessment (ESIA14)
Place of PublicationWarrington
Publication statusPublished - 19 May 2017

Fingerprint

Structural health monitoring
Laminated composites
Delamination
Spectrum analysis
Sensors
Experiments

Keywords

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

Cite this

García, D., Trendafilova, I., & Inman, D. J. (2017). Delamination detection and growth assessment in composite laminated beams through data-driven vibration structural health monitoring. In 14th International Conference on Engineering Structural Integrity Assessment (ESIA14) Warrington.
García, David ; Trendafilova, Irina ; Inman, Daniel J. / Delamination detection and growth assessment in composite laminated beams through data-driven vibration structural health monitoring. 14th International Conference on Engineering Structural Integrity Assessment (ESIA14). Warrington, 2017.
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abstract = "This study presents an integrated and reliable Structural Health Monitoring(SHM) methodology for composite laminated structures that enablesdelamination assessment. Most of these structures are subjected to vibrationsand therefore, vibration-based SHM (VSHM) methods present an attractivepossibility. The vibration response is used as an input in the data-driven VSHMmethodology to estimate, based on the output of statistical models, thedevelopment of delamination's behaviour. This study presents a technique basedon Singular Spectrum Analysis (SSA) for a data-driven VSHM methodology.The methodology decomposes the vibration responses in a certain number ofprincipal components where the data is better distinguishable. The methodologyhas been implemented on the vibration responses measured by embeddedpiezoceramic sensors in an experiment with four composite laminated beams.The size of the delamination has been modified to study its growth. The resultsdemonstrate a substantial potential of this approach for delamination detectionand growth assessment.",
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García, D, Trendafilova, I & Inman, DJ 2017, Delamination detection and growth assessment in composite laminated beams through data-driven vibration structural health monitoring. in 14th International Conference on Engineering Structural Integrity Assessment (ESIA14). Warrington.

Delamination detection and growth assessment in composite laminated beams through data-driven vibration structural health monitoring. / García, David; Trendafilova, Irina; Inman, Daniel J.

14th International Conference on Engineering Structural Integrity Assessment (ESIA14). Warrington, 2017.

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

TY - GEN

T1 - Delamination detection and growth assessment in composite laminated beams through data-driven vibration structural health monitoring

AU - García, David

AU - Trendafilova, Irina

AU - Inman, Daniel J.

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N2 - This study presents an integrated and reliable Structural Health Monitoring(SHM) methodology for composite laminated structures that enablesdelamination assessment. Most of these structures are subjected to vibrationsand therefore, vibration-based SHM (VSHM) methods present an attractivepossibility. The vibration response is used as an input in the data-driven VSHMmethodology to estimate, based on the output of statistical models, thedevelopment of delamination's behaviour. This study presents a technique basedon Singular Spectrum Analysis (SSA) for a data-driven VSHM methodology.The methodology decomposes the vibration responses in a certain number ofprincipal components where the data is better distinguishable. The methodologyhas been implemented on the vibration responses measured by embeddedpiezoceramic sensors in an experiment with four composite laminated beams.The size of the delamination has been modified to study its growth. The resultsdemonstrate a substantial potential of this approach for delamination detectionand growth assessment.

AB - This study presents an integrated and reliable Structural Health Monitoring(SHM) methodology for composite laminated structures that enablesdelamination assessment. Most of these structures are subjected to vibrationsand therefore, vibration-based SHM (VSHM) methods present an attractivepossibility. The vibration response is used as an input in the data-driven VSHMmethodology to estimate, based on the output of statistical models, thedevelopment of delamination's behaviour. This study presents a technique basedon Singular Spectrum Analysis (SSA) for a data-driven VSHM methodology.The methodology decomposes the vibration responses in a certain number ofprincipal components where the data is better distinguishable. The methodologyhas been implemented on the vibration responses measured by embeddedpiezoceramic sensors in an experiment with four composite laminated beams.The size of the delamination has been modified to study its growth. The resultsdemonstrate a substantial potential of this approach for delamination detectionand growth assessment.

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KW - vibration-based SHM

KW - laminated structures

M3 - Conference contribution book

BT - 14th International Conference on Engineering Structural Integrity Assessment (ESIA14)

CY - Warrington

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García D, Trendafilova I, Inman DJ. Delamination detection and growth assessment in composite laminated beams through data-driven vibration structural health monitoring. In 14th International Conference on Engineering Structural Integrity Assessment (ESIA14). Warrington. 2017