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
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.
KW - Carbon fiber-reinforced polymers
KW - Delamination
KW - Distributed optical fiber sensors
KW - Probability of detection
KW - Structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=85133013028&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-07258-1_92
DO - 10.1007/978-3-031-07258-1_92
M3 - Conference contribution
AN - SCOPUS:85133013028
SN - 9783031072574
T3 - Lecture Notes in Civil Engineering
SP - 917
EP - 926
BT - European Workshop on Structural Health Monitoring - EWSHM 2022 - Volume 2
A2 - Rizzo, Piervincenzo
A2 - Milazzo, Alberto
PB - Springer Science and Business Media Deutschland GmbH
T2 - 10th European Workshop on Structural Health Monitoring, EWSHM 2022
Y2 - 4 July 2022 through 7 July 2022
ER -