Technical Papers
Nov 11, 2016

Dynamic Brillouin Scattering–Based Condition Assessment of Cables in Cable-Stayed Bridges

Publication: Journal of Bridge Engineering
Volume 22, Issue 3

Abstract

A method for structural health monitoring of cable-stayed bridges based on the dynamic distributed sensing of bridge deck strains is introduced in this article. The objective is to detect the location and the magnitude of the cables that have totally or partially lost their tensile load-carrying capacities. Dynamic sensing provides a realistic approach for condition assessment of the bridge under operational conditions. A Brillouin scattering optical time domain analysis (BOTDA) fiber-optic sensor was used to monitor the distributed strain in the deck of a scaled model cable-stayed bridge in the laboratory. The formulations developed in the present study take advantage of the dynamic distributed sensing capability of the BOTDA in amplitude transfer (AT) mode for the establishment of a relationship between the redistribution of deck strains and the tension loss in the individual cables of cable-stayed bridges. The experimental program involved single cable and multicable damage scenarios. The applicability of the method was independently evaluated by the direct measurement of cable forces and nonlinear finite-element analysis of the bridge.

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Acknowledgments

The financial support of the Turin Polytechnic University in the form of scholarships for the MSc students Alice Scarella and Giancarlo Salamone is highly appreciated.

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Published In

Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 22Issue 3March 2017

History

Received: May 19, 2016
Accepted: Sep 16, 2016
Published online: Nov 11, 2016
Published in print: Mar 1, 2017
Discussion open until: Apr 11, 2017

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Affiliations

Alice Scarella [email protected]
Visiting Student, Smart Sensors and NDT Laboratory, Dept. of Civil and Materials Engineering, Univ. of Illinois at Chicago, Chicago, IL 60607. E-mail: [email protected]
Giancarlo Salamone [email protected]
Visiting Student, Smart Sensors and NDT Laboratory, Dept. of Civil and Materials Engineering, Univ. of Illinois at Chicago, Chicago, IL 60607. E-mail: [email protected]
Saeed K. Babanajad, A.M.ASCE [email protected]
Ph.D. Student, Smart Sensors and NDT Laboratory, Dept. of Civil and Materials Engineering, Univ. of Illinois at Chicago, Chicago, IL 60607. E-mail: [email protected]
Alessandro De Stefano [email protected]
Professor Emeritus, Politecnico di Torino, 10129 Torino, Italy. E-mail: [email protected]
Farhad Ansari, M.ASCE [email protected]
Distinguished Professor, Smart Sensors and NDT Laboratory, Dept. of Civil and Materials Engineering, Univ. of Illinois at Chicago, Chicago, IL 60607 (corresponding author). E-mail: [email protected]

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