Service Life and Impact of Virginia Environmental Exposure Condition on Paint on Steel Girder Bridges
Publication: Journal of Infrastructure Systems
Volume 8, Issue 4
Abstract
A number of state departments of transportation (DOTs) have established bridge management systems (BMSs) to assist in prioritizing and optimizing bridge improvement programs within budgetary constraints. Several factors, including age, traffic, and environment, have been identified in current BMS literature as having a direct impact on the deterioration of bridge components or elements. However, no formal methodology—using bridge inspection data—exists to determine the effects of the environment. Estimating bridge element service lives without considering environmental effects may lead to biased estimates. Further, existing deterioration models are incapable of using the nonnumeric element level inspection data (G=good, F=fair, P=poor, and C=critical), which most state DOTs have been collecting for nearly 30 years per Federal Highway Administration guidelines. A methodology is proposed using statistical analysis to determine the effects of environmental regions on mean service life estimates of paint on steel girder bridges, using bridge inspection field data collected by bridge inspectors. The data were based on the nonnumeric condition appraisal (G-F-P-C) format used for a bridge element or protective system condition evaluation. The methodology proposed an environmental classification system and service life estimates for use in BMS programs.
Get full access to this article
View all available purchase options and get full access to this article.
References
Abed-Al-Rahim, I. J., and Johnston, D. W. (1995). “Bridge element deterioration rates.” Transportation Research Record 1490, Transportation Research Board, Washington, D.C., 8–18.
“Bridge Management Systems.” (1992). Organization for Economic Cooperation and Development, Paris.
Busa, G., Cassella, M., Gazda, W., and Horn, R. (1985). “A national bridge deterioration model.” Rep. SS-42-U5-26, U.S. Dept. of Transportation, Transportation Systems Center, Cambridge, Mass.
Calinski, T., and Corsten, L.(1985). “Clustering means in ANOVA by simultaneous testing.” Biometrics, 41, 39–48.
Dadson, D. K. (2001). “Impact of environmental classification on steel girder bridge elements using bridge inspection data.” PhD dissertation, Virginia Polytechnic Institute and State Univ. Blacksburg, Va.
Federal Highway Administration (FHWA). (1995). “Recording and coding guide for the structure inventory and appraisal of the nation’s bridges.” Rep., U.S. Dept. of Transportation, Washington, D.C.
Federal Highway Administration (FHWA). (2001). “Official Website: Bridge technology.” 〈http://www.fhwa.dot.gov〉, Washington, D.C.
Hearn, G., Frangopol, D. M., Szanyi, T., and Marshall, S.(1996). “Data and data interpretation in bridge management systems.” Proc., Building an Int. Committee of Structural Engineers Structures Congress, 1, 245–252.
Hinkelmann, K., and Kempthorne, O. (1994). Design and analysis of experiments—Introduction to experimental design, Vol. 1, Wiley, New York.
Jiang, Y., and Sinha, K. C. (1987). “Bridge service life prediction model using the Markov chain.” Purdue Univ. Transportation Engineering Article, Purdue Univ., West Lafayette, Ind.
McGhee, K. K., Allen, G. R., and McKeel, W. T. (1993). “Development of performance and deterioration curves as a rational basis for a maintenance management system for structures.” Rep., Virginia Transportation Research Council, Charlottesville, Va.
“More than a quarter of the bridges deemed inadequate by the Feds.” (2001). Daily Texan, Feb. 20.
Ott, R. L. (1993). An introduction to statistical methods and data analysis, 4th Ed., Duxbury Press, Belmont, Calif.
Pearson, E. S., and Hartley, H. O. (1958). Biometrika tables for statisticians, 2nd Ed., Vol. 1, Cambridge University Press, New York.
Roberts, J. E., and Shepard, R. (2000). “Bridge management for the 21st century.” 5th Int. Bridge Engineering Conf., Vol. 2, Transportation Research Board 1696, National Research Council, Washington, D.C., 197–203.
SAS system—8e. (2000). SAS Institute, Cary, N.C.
Small, E. P., Philbin, T., Fraher, M., and Romack, G. P. (2000). “Current status of bridge management system implementation in the United States.” 8th Int. Bridge Management Conf., Transportation Research Circular 498, Vol. 1, Transportation Research Board, Washington, D.C., A1–A16.
Turner, D. S., and Richardson, J. A. (1994). “Bridge management system data needs and data collection.” Transportation Research Circular 423, Transportation Research Board, Washington, D.C., 5–15.
Wells, W. T. (1994). “Environmental classification scheme for Pontis.” Rep. VTRC 94-R20, Virginia Transportation Research Council, Charlottesville, Va.
West, H. H., McClure, R. M., Gannon, E. J., Riad, H. L., and Siverling, B. E. (1989). “A nonlinear deterioration model for the estimation of bridge design life.” The Pennsylvania Transportation Institute Research Project 86-07, Pennsylvania State Univ., University Park, Pa.
Weyers, R. E., Prowell, B. D., Sprinkel, M. M., and Vorster, M. (1993). “Concrete bridge protection, repair, and rehabilitation relative to reinforcement corrosion: A methods application manual.” Strategic Highway Research Program Rep. SHRP-S-XXX, National Research Council, Washington, D.C.
Information & Authors
Information
Published In
Journal of Infrastructure Systems
Volume 8 • Issue 4 • December 2002
Pages: 149 - 159
Copyright
Copyright © 2002 American Society of Civil Engineers.
History
Received: Dec 17, 2001
Accepted: Apr 19, 2002
Published online: Nov 15, 2002
Published in print: Dec 2002
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.