While there have been many studies on life cycle cost analysis and preventive maintenance planning, this study proposes an innovative method of bridge asset management in South Korea. Two different levels of approaches were used in this study. First, in the level of bridge elements, deterioration modeling and optimized maintenance repair and rehabilitation (MR&R) planning on bridge assets are proposed, using the bridge historical data of Han River in the city of Seoul. Second, the network level of bridge asset management is suggested, using historical MR&R cost and budget, overall-condition assessment results, and health index data. These two levels of approaches were developed into an Internet-based application so that facility managers can use them to review their past budgets and to plan their future budget based on historical data.
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Bulusu, S. and Sinha, K. C. (1997). “Comparison of methodologies to predict bridge deterioration.” Transportation Research Record: Journal of the Transportation Research Board, No. 1597, pp. 34–42.
Butt, A. A., Shahin, M. Y., Feighan, K. J., and Carpenter, S. H. (1987). “Pavement performance prediction model using the Markov process.” Transportation Research Record, No. 1123, pp. 12–19.
Cady, P. D. and Weyers, R. E. (1984). “Deterioration rates of concrete bridge decks.” Journal of Transportation Engineering, Vol. 110, No. 1, pp. 34–44.
Cesare, M. A., Santamarina, C., Turkstra, C., and Vanmarcke, E. H. (1992). “Modeling bridge deterioration with markov chains.” Journal of Transportation Engineering, Vol. 118, No. 6, pp. 820–833.
Chae, M. J. and Abraham, D. M. (2001). “Neuro-fuzzy approaches for sanitary sewer pipeline condition assessment.” Journal of Computing in Civil Engineering, Vol. 15, No. 1, pp. 4–14.
DeStefano, P. D. and Grivas, D. A. (1998). “Method for Estimating transition probability in bridge deterioration models.” Journal of Infrastructure Systems, Vol. 4, No. 2, pp. 56–62.
Durango-Cohen, P. L. (2004). “Maintenance and repair decision making for infrastructure facilities without a deterioration model.” Journal of Infrastructure Systems, Vol. 10, No. 1, pp. 1–8.
Hong, T. and Hastak, M. (2005). “MEMRRES: Model for evaluating maintenance, repair and rehabilitation strategies in concrete bridge decks.” Civil Engineering & Environmental Systems, Vol. 22, No. 4, pp. 233–248.
Hong, T. and Hastak, M. (2007). “Evaluation and determination of optimal MR&R strategies in concrete bridge decks.” Automation in Construction, Vol. 16, No. 2, pp. 165–175.
Hong, F. and Prozzi, J. A. (2006). “Estimation of pavement performance deterioration using Bayesian approach.” Journal of Infrastructure Systems, Vol. 12, No. 2, pp. 77–86.
Jiang, Y. and Sinha, K. C. (1989). “Bridge service life prediction model using the Markov chain.” Transportation Research Record, No. 1223, pp. 24–30.
Morcous, G., Lounis, Z., and Mirza, M. S. (2003). “Identification of environmental categories for markovian deterioration models of bridge decks.” Journal of Bridge Engineering, Vol. 8, No. 6, pp. 353–361.
Morcous, G., Rivard, H., and Hanna, A. M. (2002). “Modeling bridge deterioration using case-based reasoning.” Journal of Infrastructure Systems, Vol. 8, No. 3, pp. 86–95.
Ortiz-Garcia, J. J., Costello, S. B., and Snaith, M. S. (2006). “Derivation of transition probability matrices for pavement deterioration modeling.” J. Transp. Eng., Vol. 132, No. 2, pp. 141–161.
Shepard, R. W. (2005). “Bridge management issues in a large agency, structure & infrastructure engineering: Maintenance, management.” Life-Cycle Design & Performance, Vol. 1, No. 2, pp. 159–164.
Shepard, R. W. and Johnson, M. B. (2001). California bridge health index: A diagnostic tool to maximize bridge longevity investment, TR News, TRB, pp. 6–11.
Thompson, P. D. and Johnson, M. B. (2005). “Markovian bridge deterioration: Developing models from historical data.” Structure & Infrastructure Engineering, Vol. 1, No. 1, pp. 85–91.
Veshosky, D., Beidleman, C. R., Buetow, G. W., and Demir, M. (1994). “Comparative analysis of bridge superstructure deterioration.” Journal of Structural Engineering, Vol. 120, No. 7, pp. 2123–2136.
Winston, W. L. (1994). Operations research: Applications and algorithms 3rd edition, Duxbury Press, ISBN 0534520200, Philadelphia.
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Hong, T., Chae, M.J., Kim, D. et al. Infrastructure asset management system for bridge projects in South Korea. KSCE J Civ Eng 17, 1551–1561 (2013). https://doi.org/10.1007/s12205-013-0408-8
- bridge management system
- asset management
- markov chain
- life cycle costs
- deterioration modeling