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Probabilistic modeling of chloride contamination and corrosion of concrete bridge structures

From National Research Council Canada

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Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Article
ConferenceThe 4th International Symposium on Uncertainty Modeling and Analysis, 21 September 2003, College Park, Maryland
SubjectCorrosion (of reinforced concrete); Corrosion/cracking
Abstract
This paper presents an approach to the uncertainty modeling and analysis of chloride contamination of concrete and corrosion of reinforcing steel of highway bridge structures that are subjected to the damaging effects of chlorides from deicing salts. The statistics of the governing parameters are generated from a field survey of an aging bridge structure that was exposed to the contaminants for about forty years. The uncertainty analysis and prediction of chloride concentration and reinforcement corrosion is carried out using the direct Monte Carlo method. The model predictions agree very well with the field data, which illustrates the capability of a probabilistic model to quantify the actual condition of a deteriorated structure.
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  • Proceedings of the 4th International Symposium on Uncertainty Modeling and Analysis (21 September 2003): 447–451.
LanguageEnglish
Peer reviewedYes
NRC numberNRCC 46426
NRC-IRC-15722
NPARC number20378690
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Record identifier79e0e85c-c148-4fba-8da0-351ba5c955fd
Record created2012-07-24
Record modified2021-01-05
Date modified: