Research on the identification of modal parameters of ship structure based on fiber Bragg grating sensor

Yufan Chen; Hongyu Cui

doi:10.1117/12.2690015

7 September 2023 Research on the identification of modal parameters of ship structure based on fiber Bragg grating sensor

Yufan Chen, Hongyu Cui

Author Affiliations +

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127905G (2023) https://doi.org/10.1117/12.2690015
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

This study develops an FBG strain sensitization sensor based on the principle of lever sensitization to solve structural health issues of ship constructions under the long-term impacts of alternating loads. The genetic algorithm is then used to improve the sensor's structural dimensional parameters. The sensor model sensitivity of 3.79 pm/με and the optimal sensor strain sensitivity increase of 5.34 times were both reached by the calibration test of the equal-strength beam. The optimized strain sensor is used to identify the modal parameters of the reinforced plate structure. The experiments successfully identified the first-order to third-order inherent frequencies and modal vibration shape of the structure, and the validity of the identification was also confirmed by comparing the results of the numerical simulation, which provides a powerful technical support for the ship health monitoring.

Citation Download Citation

Yufan Chen and Hongyu Cui "Research on the identification of modal parameters of ship structure based on fiber Bragg grating sensor", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127905G (7 September 2023); https://doi.org/10.1117/12.2690015

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available