OTHER TECHNICAL PAPERS
Apr 15, 2004

Condition Evolution in Bridge Management Systems and Corrosion-Induced Deterioration

Publication: Journal of Bridge Engineering
Volume 9, Issue 3

Abstract

Condition assessment in the Swiss bridge management system (KUBA-MS) is performed on the element level. Five condition states are defined based on visual appearance. In order to forecast the condition states of any given element at any given time a relationship must be established between the element age and its condition state. This relationship, which describes the condition evolution, can be obtained empirically from statistical analysis of pairs of consecutive condition assessments (inspections). Markov chains are used in KUBA-MS to represent condition evolution and the transition probabilities are determined using regression analysis of pairs of inspections. Unfortunately there are almost no inspection data for the worst and second worst condition states. The forecasts made using Markov chains are therefore not always reliable. In this paper an alternative approach is suggested, which takes into consideration the physical phenomena underlying element deterioration. This alternative approach is applied to chloride-induced corrosion of steel reinforcement, by far the most common deterioration mechanism in Switzerland. The chloride-induced corrosion is modeled mathematically and numerical simulations of the condition evolution for different values of model parameters are performed. The simulation results have been mapped to condition states as defined in KUBA-MS and Markov transition matrices have been calibrated to fit simulation results.

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 9Issue 3May 2004
Pages: 268 - 277

History

Received: Mar 13, 2001
Accepted: Nov 10, 2003
Published online: Apr 15, 2004
Published in print: May 2004

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Authors

Affiliations

Guido Roelfstra
Dr. of Civil Engineering, Bonnard et Gardel S.A., Ave. de Cour 61, CP 241, CH 1001 Lausanne, Switzerland.
Rade Hajdin
Visiting Professor Dr. of Systems Engineering, Dept. of Electrical and Systems Engineering, Univ. of Pennsylvania, 220 South 33rd St., 270 Towne Building, Philadelphia, PA 19104-6315.
Bryan Adey
Dr. of Civil Engineering, Swiss Federal Institute of Technology, School of Architecture, Civil and Environmental Engineering, Maintenance and Safety of Structures Division (MCS), CH 1015 Lausanne, Switzerland.
Eugen Brühwiler
Professor Dr. of Civil Engineering, Swiss Federal Institute of Technology, School of Architecture, Civil and Environmental Engineering, Maintenance and Safety of Structures Division (MCS), CH 1015 Lausanne, Switzerland.

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