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Estimating electrical resistivity based on early age measurements



Author(s): J. Silva, S. Jalali, M. Ferreira
Paper category: Workshop
Book title: International RILEM Workshop on Performance Based Evaluation and Indicators for Concrete Durability
Editor(s): V. Baroghel-Bouny, C. Andrade, R. Torrent, K. Scrivener
ISBN: 978-2-912143-95-2
Pages: 67 - 74
Total Pages: 8
Language: English


Abstract: 
Concrete's electrical resistivity is one of the main parameters controlling the initiation and propagation of reinforcement corrosion. It is common knowledge that concrete electrical resistivity is mainly dependent on the porosity, temperature and the moisture content. This research work studies the possibility for estimating electrical resistivity based on early age measurements. In addition, the estimation of future values based on early age measurements is also studied. It is intended to evaluate the possibility of predicting the strength gain of concrete at a given time using the resistivity measurements. Furthermore, in order to take account the effect of temperature, the variation of resistivity due to temperature is studies.
Research has indicated that there is a strong relationship between electrical resistivity and durability indicators at a given age. A relationship for the estimation of the electrical resistivity using early age measurements is suggested. Furthermore, it was observed that temperature has a significant influence on the electrical resistivity of concrete. Based on test results, a relationship similar to the Arrhenius equation is also suggested that can be used for conversion of electrical resistivity measurements to a reference temperature.
It is suggested that a methodology, similar to the maturity method for predicting the strength gain with time and temperature, can be used successfully to account for prediction of electrical resistivity with time and temperature. Based on this methodology, the electrical resistivity of concrete at 28 days is predicted using values of electrical resistivity of up to 4 days. Errors in estimates were less than 15%. If values of up to 7 days are used, the error associated with the estimates is less than 5%.


Online publication: 2007
Publication Type: full_text
Public price (Euros): 0.00