Prestress and excitation force identification in a prestressed concrete box–girder bridge

Xiang, Ziru and Chan, Tommy H. T. and Thambiratnam, David P. and Nguyen, Andy (2017) Prestress and excitation force identification in a prestressed concrete box–girder bridge. Computers and Concrete, 20 (5). pp. 617-625. ISSN 1598-8198

Abstract

Prestress force identification (PFI) is crucial to maintain the safety of prestressed concrete bridges. A synergic identification method has been proposed recently by the authors that can determine the PF and the excitation force simultaneously in prestressed concrete beams with good accuracy. In this paper, the ability of this method in the application with prestressed concrete box-girder bridges is demonstrated. A reasonable assumption is made to capture the similarity of the dynamic behavior of the prestressed concrete box-girder bridge and a beam under a certain loading scenario, and the feasibility of this method for application in a prestressed box-girder bridge is affirmed. A comprehensive laboratory test program is conducted, and the effects of PF, excitation, measuring time and uncertainties are studied. Results show that the proposed method can predict the PF and the excitation force in a prestressed concrete box-girder accurately and has a great robustness against uncertainties.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright © 2017 Techno-Press, Ltd.
Faculty/School / Institute/Centre: Current - Institute for Advanced Engineering and Space Sciences - Centre for Future Materials
Date Deposited: 24 Aug 2018 00:17
Last Modified: 31 Aug 2018 01:47
Uncontrolled Keywords: prestress force identification (PFI), moving load identification, synergic identification, virtual distortion method
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: doi:10.12989/cac.2017.20.5.617
URI: http://eprints.usq.edu.au/id/eprint/34541

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