Fully distributed strain-based output feedback for enhanced sensitivity in damage diagnosis of structures. (28th February 2023)

• Record Type: Journal Article
• Authors: Zhou, Zheng; Liu, Yang; Dai, Hongzhe
• Is Part Of: Measurement. Volume 208(2023)
• Publication Date: 2023-02-28
• Subjects: Damage diagnosis of structures -- Fully distributed optical fiber sensor -- Strain-based output feedback -- Closed-loop system -- Strain mode shapes -- Sensitivity enhancement; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2023.112448
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: Proposing a calculation algorithm of closed-loop strain mode shape sensitivity. Presenting a discussion on the reasonable range of closed-loop pole selection. Proposing a damage diagnosis method based on closed-loop strain mode shape sensitivity using distributed optical fiber sensor. Abstract: The closed-loop damage diagnosis method has shown significant improvement in recent years, while closed-loop eigenvectors are seldomly used in previous damage diagnosis research due to the lack of adequate measurement points, by which a better damage diagnosis effect can be achieved. With the maturity of fully distributed optical fiber sensing technology, strain data acquisition with many (high-density) measurement points can be realized; in this manner, fully distributed strain-based output feedback for sensitivity enhancement is first investigated in this study, while the main contribution is to first develop a calculation algorithm of closed-loop strain modal shape sensitivity with high-density strain measurements. First, the desired eigenstructure assignment scheme is constructed, and a reasonable range of closed-loop pole selection is determined. On this basis, a sensitivity-based damage diagnosis method using closed-loop strain modal shapes is proposed, with sensitivity and robustness selected as the optimization goals. The optimal gain is obtained, which can benefit the closed-loop damage identification accuracy and stability. The effectiveness of the proposed method is validated and compared with the closed-loop eigenvalue-based method by numerical simulation, and the results indicate that the proposed method can effectively enhance the performance of damage diagnosis and improve system robustness.