Performance Life Cost-Based Maintenance Strategy Optimization for Reinforced Concrete Girder Bridges
Publication: Journal of Bridge Engineering
Volume 18, Issue 2
Abstract
This paper presents a maintenance strategy optimization method for RC girder bridges by considering the performance indicators, service life and life cycle maintenance cost, as criteria. The condition and reliability indices are defined as performance indicators. The deteriorated processes of performance indicators with and without maintenance actions are described as multilinear models. The life cycle maintenance planning optimization of deteriorating bridges is formulated as a multiobjective problem to be solved by an improved nondominated sorting genetic algorithm with controlled elitism. The condition index, reliability index, service life, and life cycle maintenance cost of the bridge are considered as four separate objective functions. A simply supported RC girder bridge is analyzed as an application example to demonstrate the usefulness of the proposed procedure.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The partial financial support of the National Nature Science Foundation of China (Grant No. 51178305) and the Key Projects in the Science and Technology Pillar Program of Tianjin (Grant No. 11ZCKFSF00300) is gratefully acknowledged. The opinions and conclusions presented in the technical note are those of the authors and do not necessarily reflect the views of the sponsoring organization.
References
Bucher, C., and Frangopol, D. M. (2006). “Optimization of lifetime maintenance strategies for deteriorating structures considering probabilities of violating safety, condition, and cost thresholds.” Probab. Eng. Mech., 21(1), 1–8.
Cheung, M. M. S., Juan, Z., and Bun, C. Y. (2009). “Service life prediction of RC bridge structures exposed to chloride environments.” J. Bridge Eng., 14(3), 164–178.
Elbehairy,H., Hegazy,T., and Soudki, K. (2009). “Integrated multiple-element bridge management system.” J. Bridge Eng., 14(3), 179–187.
Federal Highway Administration (FHwA). (2002). “Life-cycle cost analysis primer.” Officer Asset Manage., 8(8), 608–618.
Frangopol, D. M., Kong, J. S., and Emhaidy, S. G. (2001). “Reliability-based life-cycle management of highway bridges.” J. Comput. Civ. Eng., 15(1), 27–34.
Furuta, H., Kameda, T., Nakahara, K., Takahashi, Y., and Frangopol, D. M. (2006). “Optimal bridge maintenance planning using improved multi-objective genetic algorithm.” Struct. Infrastruct. Eng., 2(1), 33–41.
Getting Started with MATLAB (2008). MathWorks, Natick, MA.
Hai, D. T. (2008). “Computerized database for maintenance and management of highway bridges in Vietnam.” J. Bridge Eng., 13(3), 245–257.
Higuchi, S., and Macke, M. (2008). “Cost-benefit analysis for the optimal rehabilitation of deteriorating structures.” Struct. Saf., 30(4), 291–306.
Kim, Y. J., and Yoon, D. K. (2010). “Indentifying critical sources of bridge deterioration in cold regions through the constructed bridges in North Dakota.” J. Bridge Eng., 15(5), 542–552.
Li, Z., and Burgueño, R. (2010). “Using soft computing to analyze inspection results for bridge evaluation and management.” J. Bridge Eng., 15(4), 430–438.
Liu, C., Hammad, A., and Itoh, Y. (1997). “Multiobjective optimization of bridge deck rehabilitation using a genetic algorithm.” Comput. Aided Civ. Infrastruct. Eng., 12(6), 431–433.
Liu, M., and Frangopol, D. M. (2004). “Optimal bridge maintenance planning based on probabilistic performance prediction.” Eng. Structures, 26(7), 991–1002.
Liu, M., and Frangopol, D. M. (2005). “Multi-objective maintenance planning optimization for deteriorating bridges considering condition, safety, and life-cycle cost.” J. Struct. Eng., 131(5), 833–842.
Miyamoto, A., Kawamura, K., and Nakamura, H. (2000). “Bridge management system and maintenance optimization for existing bridges.” Comput. Aided Civ. Infrastruct. Eng., 15(1), 45–55.
Neves, L. A. C., Frangopol, D. M., and Cruz, P. J. S. (2006a). “Probabilistic lifetime-oriented multiobjective optimization of bridge maintenance: Combination of maintenance types.” J. Struct. Eng., 132(11), 1821–1833.
Neves, L. A. C., Frangopol, D. M., and Cruz, P. J. S. (2006b). “Probabilistic lifetime-oriented multiobjective optimization of bridge maintenance: Single maintenance type.” J. Struct. Eng., 132(6), 991–1005.
Okasha, N. M., and Frangopol, D. M. (2009). “Lifetime-oriented multi-objective optimization of structural maintenance considering system reliability, redundancy and life-cycle cost using GA.” Struct. Saf., 31(6), 460–474.
Strauss, A., Bergmeister, K., Hoffman, S., and Pukl, R. (2008). “Advanced life-cycle analysis of existing concrete bridges.” J. Mater. Civ. Eng., 20(1), 9–19.
Thoft-Christensen, P. (2009). “Life-cycle cost-benefit (LCCB) analysis of bridge from a user and social point of view.” Struct. Infrastruct. Eng., 5(1), 49–57.
Valenzuela, S., de Solminihac, H., and Tomas, E. (2010). “Proposal of an integrated index for prioritization of bridge maintenance.” J. Bridge Eng., 15(3), 337–343.
Zhao, J. L., and Yang, S. X. (2006). “An improved non-dominated sorting genetic algorithm INSGA-II.” J. Xi’an Univ. Sci. Technol., 26(4), 529–531 (in Chinese).
Information & Authors
Information
Published In
Journal of Bridge Engineering
Volume 18 • Issue 2 • February 2013
Pages: 172 - 178
Copyright
© 2013 American Society of Civil Engineers.
History
Received: May 27, 2011
Accepted: Nov 21, 2011
Published online: Nov 23, 2011
Published in print: Feb 1, 2013
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.