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Proceedings Paper

Rapid cable tension estimation using dynamic and mechanical properties
Author(s): Rosana E. Martínez-Castro; Shinae Jang; Richard E. Christenson; Bryan Campbell
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Paper Abstract

Main tension elements are critical to the overall stability of cable-supported bridges. A dependable and rapid determination of cable tension is desired to assess the state of a cable-supported bridge and evaluate its operability. A portable smart sensor setup is presented to reduce post-processing time and deployment complexity while reliably determining cable tension using dynamic characteristics extracted from spectral analysis. A self-recording accelerometer is coupled with a single-board microcomputer that communicates wirelessly with a remote host computer. The portable smart sensing device is designed such that additional algorithms, sensors and controlling devices for various monitoring applications can be installed and operated for additional structural assessment. The tension-estimating algorithms are based on taut string theory and expand to consider bending stiffness. The successful combination of cable properties allows the use of a cable’s dynamic behavior to determine tension force. The tension-estimating algorithms are experimentally validated on a through-arch steel bridge subject to ambient vibration induced by passing traffic. The tension estimation is determined in well agreement with previously determined tension values for the structure.

Paper Details

Date Published: 20 April 2016
PDF: 9 pages
Proc. SPIE 9803, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016, 98030E (20 April 2016); doi: 10.1117/12.2219425
Show Author Affiliations
Rosana E. Martínez-Castro, Univ. of Connecticut (United States)
Shinae Jang, Univ. of Connecticut (United States)
Richard E. Christenson, Univ. of Connecticut (United States)
Bryan Campbell, Virginia Polytechnic Institute and State Univ. (United States)


Published in SPIE Proceedings Vol. 9803:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016
Jerome P. Lynch, Editor(s)

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