Technical Papers
May 15, 2015

Generalized Method and Monitoring Technique for Shear-Strain-Based Bridge Weigh-in-Motion

Publication: Journal of Bridge Engineering
Volume 21, Issue 1

Abstract

Development and testing of a new type of bridge weigh-in-motion system (BWIM) based on the measurement of shear forces near the supports of the bridges is described. The proposed system is applicable to both determinate as well as indeterminate bridges. Fiber-optic Bragg grating rosette sensors were used in this approach. Formulations are based on the establishment of shear influence lines in terms of axle weights and spacings. The system further involves calibration for the estimation of a bridge parameter α, which is a function of the cross-sectional and material properties of the bridge. Three different bridges, one box-girder prestressed concrete bridge and two concrete-slab-on-steel-girder bridges with different span lengths, were instrumented for the evaluation of the proposed BWIM system. Field implementation involved a series of truck runs for calibration and evaluation of the BWIM system. Measured and actual truck-axle weights, spacings, and axle speeds as well as the gross vehicle weights yielded comparable results.

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Acknowledgments

This work was supported by the U.S. National Science Foundation under Grant No. 0730259 and by the Research Fund for the Doctoral Program of Higher Education of China, Grant No. 20120094110005.

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Published In

Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 21Issue 1January 2016

History

Received: Jun 3, 2014
Accepted: Jan 29, 2015
Published online: May 15, 2015
Discussion open until: Oct 15, 2015
Published in print: Jan 1, 2016

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Authors

Affiliations

Tengfei Bao [email protected]
Professor, Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai Univ., Nanjing 210098, China; Visiting Scholar, Smart Sensors and NDT Laboratory, Dept. of Civil and Materials Engineering, Univ. of Illinois at Chicago, Chicago, IL 60607. E-mail: [email protected]
Saeed Karim Babanajad [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]
Todd Taylor [email protected]
Research Engineer, Smart Sensors and NDT Laboratory, Dept. of Civil and Materials Engineering, Univ. of Illinois at Chicago, Chicago, IL 60607. E-mail: [email protected]
Farhad Ansari [email protected]
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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