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    Smart Cement Grouts for Repairing Damaged Piezoresistive Cement and Performance Prediction Using Vipulanandan Models

    Source: Journal of Materials in Civil Engineering:;2018:;Volume ( 030 ):;issue: 010
    Author:
    Vipulanandan C.;Ali K.
    DOI: 10.1061/(ASCE)MT.1943-5533.0002469
    Publisher: American Society of Civil Engineers
    Abstract: In this investigation, highly sensing smart cement grouts were developed using .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 268–3% were failed and then repaired using the newly developed smart cement grouts.
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      Smart Cement Grouts for Repairing Damaged Piezoresistive Cement and Performance Prediction Using Vipulanandan Models

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4247819
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    contributor authorVipulanandan C.;Ali K.
    date accessioned2019-02-26T07:33:07Z
    date available2019-02-26T07:33:07Z
    date issued2018
    identifier other%28ASCE%29MT.1943-5533.0002469.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4247819
    description abstractIn this investigation, highly sensing smart cement grouts were developed using .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 268–3% were failed and then repaired using the newly developed smart cement grouts.
    publisherAmerican Society of Civil Engineers
    titleSmart Cement Grouts for Repairing Damaged Piezoresistive Cement and Performance Prediction Using Vipulanandan Models
    typeJournal Paper
    journal volume30
    journal issue10
    journal titleJournal of Materials in Civil Engineering
    identifier doi10.1061/(ASCE)MT.1943-5533.0002469
    page4018253
    treeJournal of Materials in Civil Engineering:;2018:;Volume ( 030 ):;issue: 010
    contenttypeFulltext
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