Residual Service Life Prediction for Bridges Based on Critical Life Curves
Publication: Journal of Performance of Constructed Facilities
Volume 31, Issue 5
Abstract
A residual service life prediction method based on critical life curves of selected bridge members is presented in this paper for bridges in service. The lowest target reliability index is selected as the criterion for the end of the lifecycle of bridges based on bridge design codes. Based on various assessment reference periods, a simple stochastic process model of resistance is adopted to evaluate corresponding resistance reduction coefficients related to the adopted lowest reliability index. By proposing the critical life curves based on flexural resistant capacity, the paper established a new method to predict the residual service life of bridges. A case study is used to demonstrate the proposed approach. The authors inspected 11 pieces of 13-m hollow-core slab beams that had been in use for 11 years. The accuracy of the prediction method was verified through a field condition investigation and a lab destructive test on a beam dismantled from the studied bridge.
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Acknowledgments
The research described in this paper was financially supported by Transportation Research Project of Ministry of Transport, People’s Republic of China, “Damage Assessment and Reliability Study of Beam Bridge” (2013 318 223 040).
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Information & Authors
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Published In
Journal of Performance of Constructed Facilities
Volume 31 • Issue 5 • October 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Mar 7, 2016
Accepted: Dec 16, 2016
Published online: Mar 29, 2017
Discussion open until: Aug 29, 2017
Published in print: Oct 1, 2017
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