TY - GEN
T1 - Damage Diagnostics on Post-buckled Stiffened Panels Utilizing the Digital-Twin Concept
AU - Milanoski, Dimitrios
AU - Galanopoulos, Georgios
AU - Zarouchas, Dimitrios
AU - Loutas, Theodoros
PY - 2023
Y1 - 2023
N2 - A digital twin representative of a typical composite stiffened panel is utilized to monitor skin-to-stringer disbonds. A validated finite element model of the composite panel estimates the longitudinal strains of the pristine state, at the exact location where integrated fiber Bragg grating sensors are permanently installed. Experimental strains are acquired and compared to those provided by the digital twin in order to reveal the presence of disbonds. The integrated sensor grid is used in a manner that some sensors identify the load acting on the panel, leveraging on the digital twin baseline, whilst the remaining ones are dedicated for diagnostic purposes. Two damaged single-stringer panels are tested under compression-compression fatigue conditions. Static strains are received during quasi-static test intervals among the fatigue cycles. The historical strain data are analyzed in a near real-time manner to detect and localize the induced damage throughout the test span.
AB - A digital twin representative of a typical composite stiffened panel is utilized to monitor skin-to-stringer disbonds. A validated finite element model of the composite panel estimates the longitudinal strains of the pristine state, at the exact location where integrated fiber Bragg grating sensors are permanently installed. Experimental strains are acquired and compared to those provided by the digital twin in order to reveal the presence of disbonds. The integrated sensor grid is used in a manner that some sensors identify the load acting on the panel, leveraging on the digital twin baseline, whilst the remaining ones are dedicated for diagnostic purposes. Two damaged single-stringer panels are tested under compression-compression fatigue conditions. Static strains are received during quasi-static test intervals among the fatigue cycles. The historical strain data are analyzed in a near real-time manner to detect and localize the induced damage throughout the test span.
KW - Composite stiffened panels
KW - Digital twin
KW - Fiber Bragg grating sensors
KW - Structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=85134315295&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-07254-3_21
DO - 10.1007/978-3-031-07254-3_21
M3 - Conference contribution
AN - SCOPUS:85134315295
SN - 978-3-031-07253-6
T3 - Lecture Notes in Civil Engineering
SP - 213
EP - 222
BT - European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1
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 -