摘要
针对碾压混凝土坝现场碾压工艺压实效果的可靠评价和实时动态控制问题,提出了基于瑞雷波速检测的碾压热层高效压实度评价方法。依托切比雪夫Ⅰ型高通滤波联合小波阈值的信号去噪方法,构建了仓面网格化单元样本测点的压实度回归预测模型,通过Kriging空间插值法进行压实质量全仓面可视化评价。结合工程现场应用实例,结果表明:联合去噪方法可以有效抑制施工现场的干扰噪声,计算波速值分布;基于瑞雷波速和含湿率的多元非线性回归模型在拟合优度和预测精度方面上均优于其他对比模型;利用Kriging空间插值法进行区域性优化赋值,可以实现全仓面质量缺陷实时动态控制。
Aiming at the problem of reliable evaluation and real-time dynamic control of compaction effect of roller compacted concrete(RCC)dam on site,a new evaluation method for compaction degree of RCC thermal layer based on Rayleigh wave velocity detection is proposed.Relying on Chebyshev type I high-pass filtering combined with wavelet threshold signal denoising method,a regression prediction model for compactness of grid surface unit sample points is established,and the entire construction area visualization evaluation of compaction quality is performed by Kriging space interpolation method.Combined with an engineering field application example,the results show that the joint denoising method can effectively suppress the interference noise at the construction site,and the calculated wave velocity value is evenly distributed.In terms of goodness of fit and prediction accuracy,the multivariate nonlinear regression model based on Rayleigh wave velocity and moisture content performs better than other comparison models.The Kriging space interpolation method is used to perform regional optimization assignments to achieve real-time dynamic control of the quality defects for the entire construction area.
作者
屈嘉程
田正宏
孙啸
洪燕
QU Jiacheng;TIAN Zhenghong;SUN Xiao;HONG Yan(College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210098,China)
出处
《水利水电科技进展》
CSCD
北大核心
2020年第4期58-64,共7页
Advances in Science and Technology of Water Resources
基金
国家自然科学基金(51879094)。
关键词
碾压混凝土
瑞雷波速
滤波去噪
压实质量
回归模型
roller compacted concrete
Rayleigh wave velocity
filtering and denoising
compaction quality
regression model
