Technical Papers
Aug 27, 2022

Risk-Informed Bridge Optimal Maintenance Strategy Considering Target Service Life and User Cost at Project and Network Levels

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8, Issue 4

Abstract

As the concept and methods of maintenance of infrastructure systems are receiving increasing attention, the optimal maintenance strategy for a group of structures is a promising research topic. Among the factors affecting the decision-making of optimal maintenance strategy for civil infrastructure systems, the target service life and user cost estimation approach are significant. Currently, user cost estimation at the project level is widely adopted, whereas the user cost estimation at the network level is in the development stage. This paper investigates the impact of several factors on the risk-informed optimal maintenance strategy for a bridge network under corrosion, including target service life, user cost estimation approach, and correlation among bridge safety margins. The novelty of this paper consists of considering the effects of these factors on the optimal maintenance strategy of bridge networks. These effects, which are crucial for adopting the optimal maintenance strategy, were not investigated in a detailed manner previously. Two different maintenance strategies are considered for the maintenance of corroded steel girders. The former is to conduct replacement with new carbon steel girders, and the latter is to use A709-50CR steel, where CR stands for corrosion resistant, a new type of steel with a chromium content similar to that of martensitic stainless steel, in replacement actions. Using an existing bridge network under a low life-cycle risk threshold, it is shown that replacement based on A709-50CR girders results in a reduced life-cycle network maintenance cost than replacement based on carbon steel girders. Also, the project-level approach to estimate user cost can lead to a substantial increase in the life-cycle network maintenance cost compared with the network-level approach.

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Data Availability Statement

All the data related to this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors are grateful for the support provided by (1) the Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS), a US Department of Transportation University Transportation Center, under federal grant number 69A3551847103, and (2) the Commonwealth of Pennsylvania Department of Community and Economic Development through the Pennsylvania Infrastructure Technology (PITA). The authors would like to thank Mr. Thomas P Macioce, PE, from the Pennsylvania Department of Transportation for providing the bridge drawings used in the case study. The authors would also like to thank Dr. Thomas P. Murphy from Modjeski and Masters, Inc., for his support. The opinions and conclusions presented this paper are those of the authors and do not necessarily reflect the views of the sponsoring organizations.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8Issue 4December 2022

History

Received: Jan 26, 2022
Accepted: May 10, 2022
Published online: Aug 27, 2022
Published in print: Dec 1, 2022
Discussion open until: Jan 27, 2023

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Xu Han, S.M.ASCE [email protected]
Research Assistant, Dept. of Civil and Environmental Engineering, Advanced Technology for Large Structural Systems Engineering Research Center, Lehigh Univ., 117 ATLSS Dr., Bethlehem, PA 18015. Email: [email protected]
Dan M. Frangopol, Dist.M.ASCE [email protected]
Professor and the Fazlur R. Khan Endowed Chair of Structural Engineering and Architecture, Dept. of Civil and Environmental Engineering, Advanced Technology for Large Structural Systems Engineering Research Center, Lehigh Univ., 117 ATLSS Dr., Bethlehem, PA 18015 (corresponding author). Email: [email protected]

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