Paper
15 November 2011 Accurate and efficient identification of cable natural frequencies for cable tension monitoring by vibration frequency method
Lin Liu, Weimin Chen, Peng Zhang, Shunren Hu, Wei Luo
Author Affiliations +
Proceedings Volume 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation; 83213M (2011) https://doi.org/10.1117/12.905347
Event: Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 2011, Yunnan, China
Abstract
Vibration frequency method is widely used to measure cable tension of cable-stayed bridges at present. Accurate and efficient identification of cable natural frequencies is one of critical factors in cable tension monitoring. However, it is difficult to efficiently identify accurate natural frequencies in practice. Based on the theory of vibration frequency method, this paper first gives an analysis on how the data sampling parameters affect the accuracy of natural frequencies identification, so as to propose an optimization method of setting sampling parameters. Then, according to the vibration mode of a cable, a new approach, spectrum multiplication, is put forward to help to efficiently identify these frequencies by improving SNR of the vibration spectrum. Field experiments of cable tension monitoring are done at a cable-stayed bridge. The results indicate that measurement accuracy and efficiency are both improved with the optimized sampling parameters and the spectrum multiplication.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lin Liu, Weimin Chen, Peng Zhang, Shunren Hu, and Wei Luo "Accurate and efficient identification of cable natural frequencies for cable tension monitoring by vibration frequency method", Proc. SPIE 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 83213M (15 November 2011); https://doi.org/10.1117/12.905347
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Signal to noise ratio

Bridges

Composites

Interference (communication)

Signal processing

Sensors

Data processing

Back to Top