...
首页> 外文期刊>Construction and Building Materials >Characterizing the pulse velocity and electrical resistivity changes in concrete with piezoresisitive smart cement binder using Vipulanandan models
【24h】

Characterizing the pulse velocity and electrical resistivity changes in concrete with piezoresisitive smart cement binder using Vipulanandan models

机译:使用Vipulanandan模型表征压阻智能水泥粘合剂在混凝土中的脉冲速度和电阻率变化

获取原文
获取原文并翻译 | 示例
           

摘要

In this study the behavior of concrete made using piezoresisitive smart cement as the binder was investigated to test and model the concrete as a bulk sensing material. The coarse aggregate content in the concrete was varied up to 75% (by volume). The concrete property changes during curing were tested using the ultrasonic pulse velocity and compared it to the electrical resistivity, since it can be easily adopted for real-time monitoring. The initial (immediately after mixing) compressive pulse velocity for the piezoresistive smart cement (binder only) was 1050 m/s and it increased to 1490 m/s with the addition of 75%, a 42% increase in the initial pulse velocity. After 28 days of curing, the pulse velocity of smart cement increased from 3520 m/s to 4750 m/s with the addition of 75% aggregate, a 35% increase in the pulse velocity. Also the addition of coarse aggregates increased the initial electrical resistivity of the smart cement composite as well as the long term electrical resistivity. The initial electrical resistivity of smart cement was 1.02 Omega.m which increased nonlinearly to 3.74 Omega.m. with the addition of 75% aggregate, a 267% increase in the initial electrical resistivity. After 28 days of curing, the electrical resistivity of smart cement was 14.14 Omega.m and with 75% aggregate it increased to 61.24 Omega.m, a 333% increase in the electrical resistivity. Applicability of the mixture theory to predict the resistivity of the concrete from the constituents was verified and a new composite resistivity model was developed. Also Vipulanandan p-q curing model was used to predict the resistivity changes in the concrete with the curing time. The piezoresistivity of the smart cement without and with 75% aggregate after 28 days of curing were 204% and 101% at the peak compressive stresses of 21.7 MPa and 12.4 MPa respectively. The reduction in the piezoresistivity at peak compressive stress was due to not only the reduction of smart cement content in the composite but also the strength. Compared to the compressive failure strain of 0.3%, the resistivity change for the concrete with 75% gravel after 28 days of curing was over 336 times (33,600%) higher making the concrete with the smart cement binder a highly sensing bulk material. The composite behaviors (with curing time and applied stress) were modeled using the Vipulanandan pulse velocity, concrete resistivity and piezoresistivity models and compared with the current models used in the literature. Based on the coefficient of determination (R-2) and root mean square error (RMSE), Vipulanandan models predicted the experimental results very well. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在这项研究中,研究了使用压阻智能水泥作为粘结剂制备的混凝土的性能,以测试和建模作为体积感测材料的混凝土。混凝土中的粗骨料含量变化高达75%(按体积计)。使用超声波脉冲速度测试了固化过程中混凝土的性能变化,并将其与电阻率进行了比较,因为它可以很容易地用于实时监测。压阻智能水泥(仅粘合剂)的初始(紧随混合后)压缩脉冲速度为1050 m / s,增加了75%后增加到1490 m / s,初始脉冲速度增加了42%。固化28天后,智能水泥的脉冲速度从3520 m / s增加到4750 m / s,添加了75%的骨料,脉冲速度增加了35%。同样,添加粗骨料也增加了智能水泥复合材料的初始电阻率以及长期电阻率。智能水泥的初始电阻率为1.02Ω.m,非线性地增加到3.74Ω.m。加上75%的骨料,初始电阻率增加了267%。固化28天后,智能水泥的电阻率为14.14Ω.m,骨料含量为75%,增加到61.24Ω.m,电阻率增加了333%。验证了混合理论从成分中预测混凝土电阻率的适用性,并开发了新的复合电阻率模型。 Vipulanandan p-q固化模型也被用来预测混凝土的电阻率随固化时间的变化。固化28天后,无骨料和骨料为75%的智能水泥的压阻在峰值压缩应力21.7 MPa和12.4 MPa时分别为204%和101%。峰值压缩应力下压阻的降低不仅是由于复合物中智能水泥含量的降低,还因为强度的降低。与0.3%的压缩破坏应变相比,具有75%碎石的混凝土在养护28天后的电阻率变化高出336倍(33,600%),这使得使用智能水泥粘合剂的混凝土成为高感度的散装材料。使用Vipulanandan脉冲速度,混凝土电阻率和压阻率模型对复合材料的行为(具有固化时间和施加的应力)进行建模,并与文献中使用的当前模型进行比较。根据确定系数(R-2)和均方根误差(RMSE),Vipulanandan模型可以很好地预测实验结果。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号