A Decoupled Algorithm for Cable Parameter Identification by Frequency-Ratio-Offset
In this paper, the authors propose a parameter identification algorithm for bridge cables, based on frequency-ratio-offset (FRO). By introducing specific time and space scaling factors, the dynamic equation is non-dimensionalized and expressed in a very concise form, independent of all distributed cable parameters. The frequency equation has therefore just 2 variables, which can be easily solved to obtain the universal dimensionless frequency-length curve under specific boundary conditions. The authors construct a decoupled identification algorithm based on these curves, using the FRO to compare the dimensionless beam to its real-life version. Using a pair of measured frequencies, the algorithm enables simultaneous determination of any 2 of the 3 cable parameters. Laboratory tests and real-life applications show the algorithm’s accuracy and effectiveness. On the basis of statistical analysis of dozens of predicted and measured frequencies, the authors suggest a guideline for frequency selection, and discuss the effect of measurement error on the identification results. The proposed algorithm could be an effective tool for efficient identification of multiple parameters in a wide range of bridge cables.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10939687
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Authors:
- Sun, Ceshi
- Zheng, Gang
- Zhang, Xiaodong
- Cai, Wenxiu
- Gao, Wenjun
- Chen, Peng
- Zhou, Xuekun
- Publication Date: 2023-9-15
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 1998-2012
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Serial:
- Computer-Aided Civil and Infrastructure Engineering
- Volume: 38
- Issue Number: 14
- Publisher: Blackwell Publishing
- ISSN: 1093-9687
- Serial URL: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8667
Subject/Index Terms
- TRT Terms: Algorithms; Bridge cables; Dimensionless parameters; Resonance frequency
- Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation;
Filing Info
- Accession Number: 01895918
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 12 2023 9:36AM