Optimizing Lifetime Condition and Reliability of Deteriorating Structures with Emphasis on Bridges
Publication: Journal of Structural Engineering
Volume 134, Issue 4
Abstract
Deterioration mechanisms of existing structures have been identified and studied over the last decades. Uncertainties associated with mechanical loadings and environmental stressors (e.g., chloride intrusion, freeze-thaw cycles) make it difficult to accurately predict the life-cycle performance of these structures. In general, deteriorating structures are maintained by periodical interventions based on their condition states. Available resources are limited and maintenance decisions resulting from management systems concentrating on condition states of deteriorating structures are not always cost effective. Therefore, the need for reliability-based structure management is evident. Models for time-based and performance-based (condition-based or reliability-based) maintenance strategies are applied in this study to a deteriorating bridge in Colorado. Several maintenance interventions are considered and combined. Realistic data consisting of condition, reliability, and cost of maintenance actions are used. Finally, the optimum maintenance strategy considering condition, reliability, and cost is selected based on different criteria.
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Acknowledgments
The partial financial support of the Highways Agency, London, U.K., the U.S. National Science Foundation through Grant Nos. NSFCMS-0217290, NSFCMS-0509772, NSFCMS-0639428, NSFCMS-0638728, and the Netherlands Ministry of Transport, Public Works, and Water Management is gratefully acknowledged. The opinions and conclusions presented in this paper are those of the writers and do not necessarily reflect the views of the sponsoring organizations.
References
Akgül, F. (2002). “Lifetime system reliability prediction of multiple structure types in a bridge network.” Ph.D. thesis, Univ. of Colorado at Boulder, Boulder, Colo.
Akgül, F., and Frangopol, D. M. (2004). “Lifetime performance analysis of existing steel girder bridge superstructures.” J. Struct. Eng., 130(12), 1875–1888.
ASCE. (2001). “2001 report card for America’s infrastructure.” Reston, Va. ⟨www.asce.org/reportcard⟩.
Bolukbasi, M. M., Arditi, M., and Mohammadi, J.(2006). “Optimum rehabilitations schedule of steel highway bridges.” Structure and Infrastructure Engineering, Vol. 2(2), Taylor & Francis, London, 141–152.
Colorado Department of Transportation (CDOT). (1998). Pontis bridge inspection guide, Staff Bridge Branch, Denver.
Denton, S. (2002). “Data estimates for different maintenance options for reinforced concrete cross-heads.” Progress Meeting, Highways Agency, London, Parsons Brinckerhoff Ltd., Bristol, U.K.
Frangopol, D. M. (1998). “A probabilistic model based on eight random variables for preventive maintenance of bridges.” Proc., Progress Meeting on Optimum Maintenance Strategies for Different Bridge Types, Highways Agency, London.
Frangopol, D. M., Kong, J. S., and Gharaibeh, E. S. (2001). “Reliability-based life-cycle management of highway bridges.” J. Comput. Civ. Eng., 15(1), 27–34.
Frangopol, D. M., and Liu, M. (2007). “Maintenance and management of civil infrastructure based on condition, safety, optimization, and life-cycle cost.” Structure and infrastructure engineering, Vol. 3(1), Taylor & Francis, London, 29–41.
Furuta, H., Frangopol, D. M., Michiyuki, H., and Saito, M. (2001). “Integrated bridge management system based on life cycle cost concept.” Proc., 2001 Structures Congress & Exposition (CD-ROM), P. C. Chang, ed., ASCE, Reston, Va.
Furuta, H., Kameda, T., Fukuda, Y., and Frangopol, D. M. (2004). “Life-cycle cost analysis for infrastructure systems: Life cycle cost vs. safety level vs. service life.” Life-cycle performance of deteriorating structures: Assessment, design and management, D. M. Frangopol, E. Brühwiler, M. H. Faber, and B. Adey, eds., ASCE, Reston, Va., 19–25.
Lauridsen, J., Jensen, J. S., and Enevoldsen, I. B. (2007). “Bridge owner's benefits from probabilistic approaches.” Structure and infrastructure engineering, Vol. 3(4), Taylor & Francis, London, 281–302.
List, G. (2007). “A model for life cycle evaluation of highway investments.” Structure and infrastructure engineering, Vol. 3(2), Taylor & Francis, London, 95–101.
Liu, M., and Frangopol, D. M. (2004). “Optimal bridge maintenance planning based on probabilistic performance prediction.” Eng. Struct., 26(7), 991–1002.
Liu, M., and Frangopol, D. M. (2005). “Bridge annual maintenance prioritization under uncertainty by multiobjective combinatorial optimization.” Comput. Aided Civ. Infrastruct. Eng., 20(5), 343–353.
Maunsell Ltd. (1999). “Serviceable life of highway structures and their components.” Rep. to the Highways Agency, London.
Neves, L. C., and Frangopol, D. M. (2005) “Condition, safety and cost profiles for deteriorating structures with emphasis on bridges.” Reliab. Eng. Syst. Saf., 89(2), 185–198.
Neves, L. A. C., Frangopol, D. M., and Cruz, P. J. S. (2006a). “Probabilistic lifetime-oriented multiobjective optimization of bridge maintenance: Single maintenance type.” J. Struct. Eng., 132(6), 991–1005.
Neves, L. A. C., Frangopol, D. M., and Petcherdchoo, A. (2006b). “Probabilistic lifetime-oriented multiobjective optimization of bridge maintenance: Combination of maintenance types.” J. Struct. Eng., 132(11), 1821–1834.
Petcherdchoo, A. (2004) “Maintaining condition and safety of deteriorating bridges by probabilistic models and optimization.” Ph.D. thesis, Univ. of Colorado at Boulder, Boulder, Colo.
van Noortwijk, J. M., and Frangopol, D. M. (2004). “Two probabilistic life-cycle maintenance models for deteriorating civil infrastructures.” Probab. Eng. Mech., 19(4), 345–359.
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© 2008 ASCE.
History
Received: Aug 7, 2006
Accepted: Nov 2, 2007
Published online: Apr 1, 2008
Published in print: Apr 2008
Notes
Note. Associate Editor: Finley A. Charney
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