Modelling concrete deterioration in sewers using theory and field observations

Modelling concrete deterioration in sewers using theory and field observations Samples of new and 70year old pre-corroded OPC concrete were exposed for up to 48months in 6 sewers throughout Australia. Corrosion losses at each site followed the bi-linear trend originally proposed by Wells and Melchers [1]. During an initial phase (lasting <2years) negligible loss of material occurs however once the surface pH=6 losses commence and accumulate linearly at a rate that is likely to remain constant over time. Corrosion rates were found to be sensitive to humidity but insensitive to concrete alkalinity. A first pass model which predicts the rate of concrete sewer pipe corrosion from a knowledge of local average sewer gas temperature, humidity and H2S concentrations was also developed. The equation predictions were in good agreement with rates determined from field observation and historical data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Cement and Concrete Research Elsevier

Modelling concrete deterioration in sewers using theory and field observations

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Publisher
Elsevier
Copyright
Copyright © 2015 Elsevier Ltd
ISSN
0008-8846
D.O.I.
10.1016/j.cemconres.2015.07.003
Publisher site
See Article on Publisher Site

Abstract

Samples of new and 70year old pre-corroded OPC concrete were exposed for up to 48months in 6 sewers throughout Australia. Corrosion losses at each site followed the bi-linear trend originally proposed by Wells and Melchers [1]. During an initial phase (lasting <2years) negligible loss of material occurs however once the surface pH=6 losses commence and accumulate linearly at a rate that is likely to remain constant over time. Corrosion rates were found to be sensitive to humidity but insensitive to concrete alkalinity. A first pass model which predicts the rate of concrete sewer pipe corrosion from a knowledge of local average sewer gas temperature, humidity and H2S concentrations was also developed. The equation predictions were in good agreement with rates determined from field observation and historical data.

Journal

Cement and Concrete ResearchElsevier

Published: Nov 1, 2015

References

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