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Smart Cement Grouts for Repairing Damaged Piezoresistive Cement and Performance Prediction Using Vipulanandan Models
In this investigation, highly sensing smart cement grouts were developed using 0.8 water-to-cement (w/c) ratio and adding up to 3% sodium silicate. The sensing grout was also used to repair damaged piezoresistive smart cement cured under room conditions. During the hardening process, the change in the resistivity with curing time was continuously monitored to better understand the process. The sensing grouts showed change in resistivity with applied stress (piezoresistive) behavior, and the changes in the behavior very much depended not only on the curing time up to 28 days of investigation but also the amount of sodium silicate in the mixture. Vipulanandan p-q models were used to predict the curing and also the piezoresisitive behavior of the sensing grouts, and the models predicted the behavior very well. The grout strengths and secant piezoresistivity modulus varied with time, and the Vipulanandan correlation model predicted the changes very well. Also, one-day-old smart cement samples with piezoresistivity in the range of 268–300% were failed and then repaired using the newly developed smart cement grouts.
Smart Cement Grouts for Repairing Damaged Piezoresistive Cement and Performance Prediction Using Vipulanandan Models
In this investigation, highly sensing smart cement grouts were developed using 0.8 water-to-cement (w/c) ratio and adding up to 3% sodium silicate. The sensing grout was also used to repair damaged piezoresistive smart cement cured under room conditions. During the hardening process, the change in the resistivity with curing time was continuously monitored to better understand the process. The sensing grouts showed change in resistivity with applied stress (piezoresistive) behavior, and the changes in the behavior very much depended not only on the curing time up to 28 days of investigation but also the amount of sodium silicate in the mixture. Vipulanandan p-q models were used to predict the curing and also the piezoresisitive behavior of the sensing grouts, and the models predicted the behavior very well. The grout strengths and secant piezoresistivity modulus varied with time, and the Vipulanandan correlation model predicted the changes very well. Also, one-day-old smart cement samples with piezoresistivity in the range of 268–300% were failed and then repaired using the newly developed smart cement grouts.
Smart Cement Grouts for Repairing Damaged Piezoresistive Cement and Performance Prediction Using Vipulanandan Models
Vipulanandan, C. (author) / Ali, K. (author)
2018-07-17
Article (Journal)
Electronic Resource
Unknown
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