Synergic identification of prestress force and moving load on prestressed concrete beam based on virtual distortion method

Xiang, Ziru and Chan, Tommy H. T. and Thambiratnam, David P. and Nguyen, Theanh (2016) Synergic identification of prestress force and moving load on prestressed concrete beam based on virtual distortion method. Smart Structures and Systems, 17 (6). pp. 917-933. ISSN 1738-1584

[img]
Preview
Text (Accepted Version)
Revised paper.pdf

Download (938Kb) | Preview

Abstract

In a prestressed concrete bridge, the magnitude of the prestress force (PF) decreases with time. This unexpected loss can cause failure of a bridge which makes prestress force identification (PFI) critical to evaluate bridge safety. However, it has been difficult to identify the PF non-destructively. Although some research has shown the feasibility of vibration based methods in PFI, the requirement of having a determinate exciting force in these methods hinders applications onto in-service bridges. Ideally, it will be efficient if the normal traffic could be treated as an excitation, but the load caused by vehicles is difficult to measure. Hence it prompts the need to investigate whether PF and moving load could be identified together. This paper presents a synergic identification method to determine PF and moving load applied on a simply supported prestressed concrete beam via the dynamic responses caused by this unknown moving load. This method consists of three parts: (i) the PF is transformed into an external pseudo-load localized in each beam element via virtual distortion method (VDM); (ii) then these pseudo-loads are identified simultaneously with the moving load via Duhamel Integral; (iii) the time consuming problem during the inversion of Duhamel Integral is overcome by the load-shape function (LSF). The method is examined against different cases of PFs, vehicle speeds and noise levels by means of simulations. Results show that this method attains a good degree of accuracy and efficiency, as well as robustness to noise.


Statistics for USQ ePrint 35269
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright © 2016 Techno-Press, Ltd.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 July 2013 -)
Date Deposited: 20 Dec 2018 01:20
Last Modified: 11 Jan 2019 05:45
Uncontrolled Keywords: prestress force identification (PFI), moving load identification, synergic identification, virtual distortion method (VDM)
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
Identification Number or DOI: doi:10.12989/sss.2016.17.6.917
URI: http://eprints.usq.edu.au/id/eprint/35269

Actions (login required)

View Item Archive Repository Staff Only