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Monitoring early age strength gain of SCC with different supplementary cementitious materials using acoustic emission sensors

机译:使用声发射传感器监测不同胶凝材料对SCC早期强度的影响

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摘要

This investigation employed acoustic emission (AE) technique to monitor the strength development at an early age of self-consolidating concrete (SCC) mixtures with different supplementary cementitious materials (SCM's). Four types of SCM's including fly ash (FA), metakaolin (MK), silica fume (SF) and slag (SG) were investigated in this study. A normal concrete mixture with higher coarse-to-fine aggregate ratio was also investigated for the comparison. Three prisms from each tested mixture were continuously monitored by means of attached AE sensors up to a total period of 3 days. Cylindrical samples were tested to evaluate the compressive strength gain along the tested period. The emissions resulting from the changes in the microstructure of the specimens were recorded along with the temperature variations (using thermocouples) for all mixtures. Different AE parameters were analyzed including the signal amplitude, absolute energy, peak frequency, number of AE hits and cumulative signal strength (CSS) to relate them to the rate of strength gain. Furthermore, b-value analysis was conducted on the collected AE signals to evaluate the strength development by means of the variations in the b-value. The results of the AE parameters including the number of AE hits and CSS showed a direct correlation between the rate of strength gain and these studied AE parameters. Meanwhile, the b-value analysis was found to be a useful tool for capturing the changes in the internal properties of the different tested mixtures at early ages. (C) 2019 Elsevier Ltd. All rights reserved.
机译:这项研究采用了声发射(AE)技术来监测具有不同补充胶凝材料(SCM's)的自固结混凝土(SCC)混合物在早期的强度发展。本研究研究了四种类型的SCM,包括粉煤灰(FA),偏高岭土(MK),硅粉(SF)和矿渣(SG)。为了进行比较,还研究了粗骨料比高的普通混凝土混合物。借助连接的AE传感器连续监控每种测试混合物中的三个棱镜,总计3天。对圆柱样品进行了测试,以评估测试期间的抗压强度。记录了由样品微观结构变化引起的排放物以及所有混合物的温度变化(使用热电偶)。分析了不同的声发射参数,包括信号幅度,绝对能量,峰值频率,声发射次数和累积信号强度(CSS),以将它们与强度增益速率相关联。此外,对收集的AE信号进行b值分析,以通过b值的变化来评估强度发展。包括AE命中次数和CSS在内的AE参数的结果表明,强度增加率与这些研究的AE参数之间存在直接相关性。同时,发现b值分析是捕获早期不同测试混合物内部特性变化的有用工具。 (C)2019 Elsevier Ltd.保留所有权利。

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