Method for Estimating Transition Probability in Bridge Deterioration Models
Publication: Journal of Infrastructure Systems
Volume 4, Issue 2
Abstract
A method for estimating transition probability is applied to the deterioration models of a bridge management system. Deterioration is modeled as a time-dependent function of the condition changes of critical elements in bridge systems. The methodology applies “life data” analysis techniques employed in reliability studies of engineering systems and incorporates the inherent censorship of the utilized bridge data. It involves a two-phase process: one concerned with the condition of a set of similar bridge components composing a system, and the other concerned with the condition of a specific component within the system. The information required for modeling purposes is derived from historical data typically available in bridge inventory and inspection systems. The methodology focuses on deterioration models previously created for use in a bridge management system. It is illustrated by a case study involving deterioration processes of a structural deck system. The methodology has been evaluated through comparison of predicted and realized condition measures over a 10-year period. On the basis of the analysis conducted and its results, it is concluded that the developed methodology significantly improves the accuracy of bridge deterioration models and the network-level condition prediction process.
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References
1.
Arminio, S. J., DeStefano, P. D., and Grivas, D. A. (1998). “Asset management: A case study of long-range bridge investment planning.”Proc., Transp. Res. Board 77th Annu. Mtg., Washington, D.C.
2.
Arminio, S. J. (1997). “Methodological enhancements to network-level bridge investment planning tools,” Master's thesis, Rensselaer Polytechnic Inst., Troy, N. Y.
3.
Baird, B. (1989). Managerial decisions under uncertainty: An introduction to the analysis of decision making. John Wiley & Sons, Inc., New York, N.Y.
4.
Cesare, M., Santamarina, C., Turkstra, C., and VanMarcke, E. H.(1992). “Modeling bridge deterioration with Markov chains.”J. Transp. Engrg., ASCE, 118(6), 820–833.
5.
Elwell, D. J. (1994). “Methods of condition and needs analysis applied to New York state thruway bridges,” Master's thesis, Rensselaer Polytechnic Inst., Troy, N.Y.
6.
Jiang, Y., Saito, M., and Sinha, K. (1988). “Bridge performance prediction model using the Markov chain.”Transp. Res. Record 1180, 31–39.
7.
Kaplan, E. L., and Meier, P.(1958). “Nonparametric estimation from incomplete observations.”J. Am. Stat. Assoc., 53, 457–481.
8.
Lipkus, S. E. (1994). “BRIDGIT bridge management software.”Transp. Res. Circ. No. 423, Transp. Res. Board, Nat. Res. Council, Washington, D.C., 43–54.
9.
Madanat, S. M., Mishakani, R., and Wan Ibrahim, W. H.(1995). “Estimation of infrastructure transition probabilities from condition rating data.”J. Infrastruct. Sys., ASCE, 1(2), 120–125.
10.
Nelson, W. (1982). Applied life data analysis. John Wiley & Sons, Inc., New York, N.Y.
11.
New York State Department of Transportation (NYSDOT). (1982). Bridge inspection manual 82.
12.
Ravirala, V., Grivas, D. A., Madan, A., and Schultz, B. C. (1996). “A multi-criteria optimization method for network-level bridge management [Paper No. 960520].”Proc., Transp. Res. Board 75th Annu. Mtg., Washington, D.C.
13.
Ravirala, V., and Grivas, D. A.(1995). “State increment method of life-cycle cost analysis for highway management.”J. Infrastruct. Sys., ASCE, 1(3), 151–159.
14.
Scheafer, R. L., and McClave, J. T. (1995). Probability and statistics for engineers. Duxbury Press, Calif., 455–456.
15.
Thompson, P. D., and Shepard. (1994) “PONTIS.”Transp. Res. Circ. No. 423, Transp. Res. Board, Nat. Res. Council, Washington, D.C., 35–42.
Information & Authors
Information
Published In
Journal of Infrastructure Systems
Volume 4 • Issue 2 • June 1998
Pages: 56 - 62
Copyright
Copyright © 1998 American Society of Civil Engineers.
History
Published online: Jun 1, 1998
Published in print: Jun 1998
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