碾压混凝土施工热层实时压实度监控模型应用研究

doi:10.16232/j.cnki.1001-4179.2020.01.025

摘要/Abstract

摘要： 碾压混凝土施工压实质量对大坝成型质量至关重要。现有碾压热层压实质量一般通过核子密度仪法检测，存在检测繁琐、可靠度低、存在安全风险、需定期标定、代表性差等缺点，无法满足快速精准的检测要求。通过理论及试验研究，选取现场碾压料层的物性参数，即拌合料含湿率、骨料级配和碾压层应力波传播速度作为评价参数，并研发了相应的实时仓面含湿率测定仪与碾压热层波速测试仪对以上参数实时采集传输；利用BP神经网络建立基于碾压层拌合料含湿率、骨料级配和应力波传播速度的碾压混凝土压实度预测评价模型，通过远程可视化反馈系统将模型预测结果反馈输出，形成了一整套碾压混凝土施工热层实时压实度馈控技术。该技术在乌弄龙碾压混凝土大坝施工现场进行了实践，实时监控碾压热层的施工效果，验证了其可行性和可靠性。

关键词: 碾压混凝土, 压实质量, BP神经网络模型, 实时馈控, 含湿率, 应力波波速, 骨料级配

Abstract: The compaction quality of RCC construction is very important to dam forming quality. The existing compaction quality detection method of RCC layer is nuclear density instrument method, which has the disadvantages of complex operation, low reliability, safety risk, regular calibration and the lack of representativeness, and cannot meet the requirements of rapid and accurate detection. Through the theoretical and experimental research, the material parameters of the field compaction layers, that is, the moisture content of the mixing material, the gradation of aggregate and the propagation speed of the stress wave of the compaction layer were selected as the evaluation parameters in this paper, and the corresponding real-time warehouse surface moisture content tester and the roller thermal layer wave velocity tester were developed to collect and transmit the above parameters in real-time. And then a prediction and evaluation model for compaction of RCC based on moisture content, gradation of aggregate and propagation velocity of stress wave was established by using BP neural network. Through the remote visual feedback system, a whole set of real-time compaction feedback and control technology of thermal layer in RCC construction was formed. This technique was applied in the construction site of the Wunonglong RCC dam, and the construction effect of the RCC thermal layer was monitored in real time.

Key words: RCC, compaction quality, BP neural network, real-time feedback and control, moisture content, propagation velocity of stress wave, aggregate gradation

郑祥，马元山，付勇，田正宏. 碾压混凝土施工热层实时压实度监控模型应用研究[J]. 人民长江, doi: 10.16232/j.cnki.1001-4179.2020.01.025.

ZHENG Xiang，MA Yuanshan，FU Yong，TIAN Zhenghong. Research and application of real-time compaction monitoring model for thermal layer of RCC construction[J]. , doi: 10.16232/j.cnki.1001-4179.2020.01.025.

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碾压混凝土施工热层实时压实度监控模型应用研究

Research and application of real-time compaction monitoring model for thermal layer of RCC construction

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