Optimization of Life-Cycle Maintenance of Deteriorating Bridges with Respect to Expected Annual System Failure Rate and Expected Cumulative Cost
Publication: Journal of Structural Engineering
Volume 140, Issue 2
Abstract
Civil infrastructure systems are subjected to progressive deterioration resulting from multiple mechanical and environmental stressors. This deterioration process is developed under uncertainties related to load effects, structural resistance, and inspection outcomes, among others. In this context, life-cycle optimization techniques provide a rational approach to manage these systems considering uncertainties and several budgetary and safety constraints. This paper proposes a novel optimization procedure for life-cycle inspection and maintenance planning of aging structures. In this procedure, the structural system effects are accounted for by modeling the structure as a series, parallel, or a series-parallel system whose components are subjected to time-dependent deterioration phenomena. Different possible repair options are considered depending on the damage state and the outcomes of each inspection. For each component, essential or preventive maintenance aiming at reducing the system failure rate are performed when inspection results indicate that the prescribed threshold damage levels have been reached or violated. Otherwise, no repair is performed. Optimum inspection and maintenance plans are formulated by minimizing both the expected system failure rate and expected cumulative inspection and maintenance cost over the life-cycle of the structure. The proposed approach is applied to an existing bridge.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The support by grants from (1) the National Science Foundation (NSF) award CMS-0639428, (2) the Commonwealth of Pennsylvania, department of community and economic development, through the Pennsylvania Infrastructure Technology Alliance (PITA), (3) the U.S. Federal Highway Administration (FHWA) cooperative agreement award DTFH61-07-H-00040, (4) the U.S. Office of Naval Research (ONR) awards number N00014-08-1-0188 and N00014-12-1-0023, and (5) the National Aeronautics and Space Administration (NASA) award NNX10AJ20G is gratefully acknowledged. The opinions presented in this paper are those of the authors and do not necessarily reflect the views of the sponsoring organizations.
References
Akgül, F. (2002). “Lifetime system reliability prediction for multiple structure types in a bridge network.” Ph.D. thesis, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado, Boulder, CO.
Albrecht, P., and Naeemi, A. (1984). “Performance of weathering steel in bridges.”, National Cooperative Highway Research Program (NCHRP), Washington, DC.
Ang, A. H-S., and Tang, W. H. (1984). Probability concepts in engineering planning and design. Volume II—Decision, risk and reliability, Wiley, New York.
Arunraj, N. S., and Maiti, J. (2007). “Risk-based maintenance – techniques and applications.” J. Hazard. Mater., 142(3), 653–661.
Baek, G., Kim, K., and Kim, S. (2009). “Optimal preventive maintenance inspection period on reliability improvement with Bayesian network and hazard function in gantry crane.” Proc., 6th Int. Symp. on Neural Networks: Advances in Neural Networks – Part III, Springer, Wuhan, China, 1190–1196.
Barone, G., and Frangopol, D. M. (2013). “Hazard-based optimum lifetime inspection/repair planning for deteriorating structures.” J. Struct. Eng.,.
Bocchini, P., and Frangopol, D. M. (2011). “A probabilistic computational framework for bridge network optimal maintenance scheduling.” Reliab. Eng. Syst. Saf., 96(2), 332–349.
Duarte, J. A. C., Craveiro, J. C. T. A., and Trigo, T. P. (2006). “Opmitization of the preventive maintenance plan of a series components system.” Int. J. Pressure Vessels Piping, 83(4), 244–248.
Carino, N. J. (1999). “Nondestructive techniques to investigate corrosion status in concrete structures.” J. Perform. Constr. Facil., 13(3), 96–106.
Clark, M. R., McCann, D. M., and Forde, M. C. (2003). “Application of infrared thermography to the non-destructive testing of concrete and masonry bridges.” NDT&E Int., 36(4), 265–275.
Deb, K. (2001). Multi-objective optimization using evolutionary algorithms, Wiley, Chichester, UK.
Decò, A., and Frangopol, D. M. (2011). “Risk assessment of highway bridges under multiple hazards.” J. Risk Res., 14(9), 1057–1089.
Estes, A. C. (1997). “A system reliability approach to the lifetime optimization of inspection and repair of highway bridges.” Ph.D. thesis, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado, Boulder, CO.
Estes, A. C., and Frangopol, D. M. (1998). “RELSYS: A computer program for structural system reliability analysis.” Struct. Eng. Mech., 6(8), 901–919.
Estes, A. C., and Frangopol, D. M. (2003). “Updating bridge reliability based on bridge management systems visual inspection results.” J. Bridge Eng., 8(6), 374–382.
Frangopol, D. M. (2011). “Life-cycle performance, management, and optimization of structural systems under uncertainty: accomplishments and challenges.” Struct. Infrastruct. Eng., 7(6), 389–413.
Frangopol, D. M., and Liu, M. (2007). “Maintenance and management of civil infrastructure based on condition, safety, optimization, and life-cycle cost.” Struct. Infrastruct. Eng., 3(1), 29–41.
Kim, S., Frangopol, D. M., and Soliman, M. (2013). “Generalized probabilistic framework for optimum inspection and maintenance planning.” J. Struct. Eng., 139(3), 435–447.
Leemis, L. M. (1995). Reliability, probabilistic models and statistical methods, Prentice Hall, New Jersey.
MathWorks [Computer software]. Global optimization toolbox 3.2.2 user’s guide, The MathWorks Inc., Natick, MA.
Mori, Y., and Ellingwood, B. R. (1994). “Maintaining reliability of concrete structures. II: optimum inspection/repair.” J. Struct. Eng., 120(3), 846–862.
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.
Okasha, N. M., and Frangopol, D. M. (2010a). “Redundancy of structural systems with and without maintenance: an approach based on lifetime functions.” Reliab. Eng. Syst. Saf., 95(5), 520–533.
Okasha, N. M., and Frangopol, D. M. (2010b). “Time-variant redundancy of structural systems.” Struct. Infrastruct. Eng., 6(1–2), 279–301.
Orcesi, A. D., and Frangopol, D. M. (2011a). “A stakeholder probability-based optimization approach for cost-effective bridge management under financial constraints.” Eng. Struct., 33(5), 1439–1449.
Orcesi, A. D., and Frangopol, D. M. (2011b). “Use of lifetime functions in the optimization of nondestructive inspection strategies for bridges.” J. Struct. Eng., 137(4), 531–539.
Ramirez, C. M., et al. (2012). “Expected earthquake damage and repair costs in reinforced concrete frame buildings.” Earthquake Eng. Struct. Dyn., 41(11), 1455–1475.
Wang, Z. W., Zhou, M., Slabaugh, G. G., Zhai, J., and Fang, T. (2011). “Automatic detection of bridge deck condition from ground penetrating radar images.” IEEE Trans. Autom. Sci. Eng., 8(3), 633–640.
Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 140 • Issue 2 • February 2014
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Sep 13, 2012
Accepted: Jan 29, 2013
Published online: Jan 31, 2013
Published in print: Feb 1, 2014
Discussion open until: Mar 1, 2014
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.