TY - GEN
T1 - Non-Contact Vibration Measurement of a Cantilever Beam Using Fused DIC and COV-SSI Methodology
AU - Zhang, Yu
AU - Wang, Hu
AU - Wu, Chenshu
AU - Ma, Ruixian
AU - Liao, Mingfu
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - Vibration measurement is of great significance for the modal recognition, structural safety monitoring and operation reliability evaluation of large-scale wind turbines blades. Traditional contact sensors are limited by full-field measurement and insufficient real-time modal parameter identification ability. In this study, a non-contact vibration measurement method integrating Digital Image Correlation (DIC) with Covariance-Driven Stochastic Subspace Identification (COV-SSI) is proposed, and a cantilever beam is adopted for experimental verification. A transient excitation is applied using a force hammer, and the vibration image sequences are synchronously collected by a stationary camera. The full-field dynamic displacement response is calculated based on the DIC algorithm. Further-more, COV-SSI is utilized to identify modal parameters from the time-domain response. The results are compared with data collected by accelerometers. The comparison shows that the relative error of the first-order natural frequency obtained by the proposed method is less than 0.3%, along with a relative error of less than 1.1% for the corresponding damping ratio. The agreement verifies the effectiveness and practicability of the non-contact method in structural vibration monitoring.
AB - Vibration measurement is of great significance for the modal recognition, structural safety monitoring and operation reliability evaluation of large-scale wind turbines blades. Traditional contact sensors are limited by full-field measurement and insufficient real-time modal parameter identification ability. In this study, a non-contact vibration measurement method integrating Digital Image Correlation (DIC) with Covariance-Driven Stochastic Subspace Identification (COV-SSI) is proposed, and a cantilever beam is adopted for experimental verification. A transient excitation is applied using a force hammer, and the vibration image sequences are synchronously collected by a stationary camera. The full-field dynamic displacement response is calculated based on the DIC algorithm. Further-more, COV-SSI is utilized to identify modal parameters from the time-domain response. The results are compared with data collected by accelerometers. The comparison shows that the relative error of the first-order natural frequency obtained by the proposed method is less than 0.3%, along with a relative error of less than 1.1% for the corresponding damping ratio. The agreement verifies the effectiveness and practicability of the non-contact method in structural vibration monitoring.
KW - Cantilever beam
KW - Digital Image Correlation
KW - Operational modal analysis
KW - Photogrammetry
KW - Vibration measurement
UR - https://www.scopus.com/pages/publications/105037004815
U2 - 10.1007/978-981-95-7322-6_34
DO - 10.1007/978-981-95-7322-6_34
M3 - 会议稿件
AN - SCOPUS:105037004815
SN - 9789819573219
T3 - Lecture Notes in Electrical Engineering
SP - 467
EP - 478
BT - Advances in Applied Nonlinear Dynamics, Vibration, and Control - 2025 - The Proceedings of 2025 International Conference on Applied Nonlinear Dynamics, Vibration, and Control ICANDVC-2025
A2 - Jing, Xingjian
A2 - Ding, Hu
A2 - Yan, Bo
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Applied Nonlinear Dynamics, Vibration and Control, ICANDVC 2025
Y2 - 17 October 2025 through 19 October 2025
ER -