Probability of Delamination Detection for CFRP DCB Specimens Using Rayleigh Distributed Optical Fiber Sensors

Francesco Falcetelli; Demetrio Cristiani; Nan Yue; Claudio Sbarufatti; Raffaella Di Sante; Dimitrios Zarouchas

doi:10.1007/978-3-031-07258-1_92

Probability of Delamination Detection for CFRP DCB Specimens Using Rayleigh Distributed Optical Fiber Sensors

Francesco Falcetelli^*, Demetrio Cristiani, Nan Yue, Claudio Sbarufatti, Raffaella Di Sante, Dimitrios Zarouchas

^*Corresponding author for this work

Structural Integrity & Composites

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

31 Downloads (Pure)

Abstract

Distributed Optical Fiber Sensors (DOFS) show several inherent benefits with respect to conventional strain-sensing technologies and represent a key technology for Structural Health Monitoring (SHM). Despite the solid motivation behind DOFS-based SHM systems, their implementation for real-time structural assessment is still unsatisfactory outside academia. One of the main reasons is the lack of rigorous methodologies for uncertainty quantification, which hinders the performance assessment of the monitoring system. The concept of Probability of Detection (POD) should function as the guiding light in this process, but precautions must be taken to apply this concept to SHM, as it has been originally developed for Non-Destructive Evaluation techniques. Although DOFS have been the object of numerous studies, a well-established methodology for their performance evaluation in terms of PODs is still missing. In the present work, the concept of Probability of Delamination Detection (POD²) is proposed for a DOFS network; Carbon Fiber-Reinforced Polymers (CFRP) Double-Cantilever Beam (DCB) specimens equipped with DOFS have been tested under static loading, and the strain patterns along with the relative observed delamination size have been collected to generate an adequate database for the POD analysis, suggesting a reference methodology to quantify the performance of DOFS for delamination detection.

Original language	English
Title of host publication	European Workshop on Structural Health Monitoring - EWSHM 2022 - Volume 2
Editors	Piervincenzo Rizzo, Alberto Milazzo
Publisher	Springer
Pages	917-926
Number of pages	10
ISBN (Print)	9783031072574
DOIs	https://doi.org/10.1007/978-3-031-07258-1_92
Publication status	Published - 2023
Event	10th European Workshop on Structural Health Monitoring, EWSHM 2022 - Palermo, Italy Duration: 4 Jul 2022 → 7 Jul 2022

Publication series

Name	Lecture Notes in Civil Engineering
Volume	254 LNCE
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	10th European Workshop on Structural Health Monitoring, EWSHM 2022
Country/Territory	Italy
City	Palermo
Period	4/07/22 → 7/07/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Carbon fiber-reinforced polymers
Delamination
Distributed optical fiber sensors
Probability of detection
Structural health monitoring

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10.1007/978-3-031-07258-1_92

EWSHM2022 Falcetelli revFinal published version, 655 KB

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Falcetelli, F., Cristiani, D., Yue, N., Sbarufatti, C., Sante, R. D., & Zarouchas, D. (2023). Probability of Delamination Detection for CFRP DCB Specimens Using Rayleigh Distributed Optical Fiber Sensors. In P. Rizzo, & A. Milazzo (Eds.), European Workshop on Structural Health Monitoring - EWSHM 2022 - Volume 2 (pp. 917-926). (Lecture Notes in Civil Engineering; Vol. 254 LNCE). Springer. https://doi.org/10.1007/978-3-031-07258-1_92

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title = "Probability of Delamination Detection for CFRP DCB Specimens Using Rayleigh Distributed Optical Fiber Sensors",

abstract = "Distributed Optical Fiber Sensors (DOFS) show several inherent benefits with respect to conventional strain-sensing technologies and represent a key technology for Structural Health Monitoring (SHM). Despite the solid motivation behind DOFS-based SHM systems, their implementation for real-time structural assessment is still unsatisfactory outside academia. One of the main reasons is the lack of rigorous methodologies for uncertainty quantification, which hinders the performance assessment of the monitoring system. The concept of Probability of Detection (POD) should function as the guiding light in this process, but precautions must be taken to apply this concept to SHM, as it has been originally developed for Non-Destructive Evaluation techniques. Although DOFS have been the object of numerous studies, a well-established methodology for their performance evaluation in terms of PODs is still missing. In the present work, the concept of Probability of Delamination Detection (POD2) is proposed for a DOFS network; Carbon Fiber-Reinforced Polymers (CFRP) Double-Cantilever Beam (DCB) specimens equipped with DOFS have been tested under static loading, and the strain patterns along with the relative observed delamination size have been collected to generate an adequate database for the POD analysis, suggesting a reference methodology to quantify the performance of DOFS for delamination detection.",

keywords = "Carbon fiber-reinforced polymers, Delamination, Distributed optical fiber sensors, Probability of detection, Structural health monitoring",

author = "Francesco Falcetelli and Demetrio Cristiani and Nan Yue and Claudio Sbarufatti and Sante, {Raffaella Di} and Dimitrios Zarouchas",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 10th European Workshop on Structural Health Monitoring, EWSHM 2022 ; Conference date: 04-07-2022 Through 07-07-2022",

year = "2023",

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language = "English",

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Falcetelli, F, Cristiani, D, Yue, N, Sbarufatti, C, Sante, RD & Zarouchas, D 2023, Probability of Delamination Detection for CFRP DCB Specimens Using Rayleigh Distributed Optical Fiber Sensors. in P Rizzo & A Milazzo (eds), European Workshop on Structural Health Monitoring - EWSHM 2022 - Volume 2. Lecture Notes in Civil Engineering, vol. 254 LNCE, Springer, pp. 917-926, 10th European Workshop on Structural Health Monitoring, EWSHM 2022, Palermo, Italy, 4/07/22. https://doi.org/10.1007/978-3-031-07258-1_92

Probability of Delamination Detection for CFRP DCB Specimens Using Rayleigh Distributed Optical Fiber Sensors. / Falcetelli, Francesco; Cristiani, Demetrio; Yue, Nan et al.
European Workshop on Structural Health Monitoring - EWSHM 2022 - Volume 2. ed. / Piervincenzo Rizzo; Alberto Milazzo. Springer, 2023. p. 917-926 (Lecture Notes in Civil Engineering; Vol. 254 LNCE).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Probability of Delamination Detection for CFRP DCB Specimens Using Rayleigh Distributed Optical Fiber Sensors

AU - Falcetelli, Francesco

AU - Cristiani, Demetrio

AU - Yue, Nan

AU - Sbarufatti, Claudio

AU - Sante, Raffaella Di

AU - Zarouchas, Dimitrios

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

Y1 - 2023

N2 - Distributed Optical Fiber Sensors (DOFS) show several inherent benefits with respect to conventional strain-sensing technologies and represent a key technology for Structural Health Monitoring (SHM). Despite the solid motivation behind DOFS-based SHM systems, their implementation for real-time structural assessment is still unsatisfactory outside academia. One of the main reasons is the lack of rigorous methodologies for uncertainty quantification, which hinders the performance assessment of the monitoring system. The concept of Probability of Detection (POD) should function as the guiding light in this process, but precautions must be taken to apply this concept to SHM, as it has been originally developed for Non-Destructive Evaluation techniques. Although DOFS have been the object of numerous studies, a well-established methodology for their performance evaluation in terms of PODs is still missing. In the present work, the concept of Probability of Delamination Detection (POD2) is proposed for a DOFS network; Carbon Fiber-Reinforced Polymers (CFRP) Double-Cantilever Beam (DCB) specimens equipped with DOFS have been tested under static loading, and the strain patterns along with the relative observed delamination size have been collected to generate an adequate database for the POD analysis, suggesting a reference methodology to quantify the performance of DOFS for delamination detection.

AB - Distributed Optical Fiber Sensors (DOFS) show several inherent benefits with respect to conventional strain-sensing technologies and represent a key technology for Structural Health Monitoring (SHM). Despite the solid motivation behind DOFS-based SHM systems, their implementation for real-time structural assessment is still unsatisfactory outside academia. One of the main reasons is the lack of rigorous methodologies for uncertainty quantification, which hinders the performance assessment of the monitoring system. The concept of Probability of Detection (POD) should function as the guiding light in this process, but precautions must be taken to apply this concept to SHM, as it has been originally developed for Non-Destructive Evaluation techniques. Although DOFS have been the object of numerous studies, a well-established methodology for their performance evaluation in terms of PODs is still missing. In the present work, the concept of Probability of Delamination Detection (POD2) is proposed for a DOFS network; Carbon Fiber-Reinforced Polymers (CFRP) Double-Cantilever Beam (DCB) specimens equipped with DOFS have been tested under static loading, and the strain patterns along with the relative observed delamination size have been collected to generate an adequate database for the POD analysis, suggesting a reference methodology to quantify the performance of DOFS for delamination detection.

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KW - Distributed optical fiber sensors

KW - Probability of detection

KW - Structural health monitoring

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BT - European Workshop on Structural Health Monitoring - EWSHM 2022 - Volume 2

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Falcetelli F, Cristiani D, Yue N, Sbarufatti C, Sante RD, Zarouchas D. Probability of Delamination Detection for CFRP DCB Specimens Using Rayleigh Distributed Optical Fiber Sensors. In Rizzo P, Milazzo A, editors, European Workshop on Structural Health Monitoring - EWSHM 2022 - Volume 2. Springer. 2023. p. 917-926. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-031-07258-1_92

Probability of Delamination Detection for CFRP DCB Specimens Using Rayleigh Distributed Optical Fiber Sensors

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