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Research and application on large-scale coarse-grained soil filling characteristics and gradation optimization

机译:大规模粗粒土充填特性及级配优化研究与应用

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Abstract The filling characteristics of rockfill is an engineering problem that cannot be ignored in high dams. Reasonably controlling and optimizing the gradation is critical for improving the compaction quality. The relationship between gradation distribution law and compaction characteristics is investigated using numerical and field experiments, and a method for dam construction gradation design optimization is given. The results show that the Weibull model exhibited better applicability for continuous coarse-grained soil gradation. The extreme porosity of rockfill has a scaling effect, which can be basically eliminated when the maximum particle size reaches 400?mm. The prediction results based on the neural network show that the Weibull model gradation parameters strongly correlate with the porosity. The “occupancy effect”, or “filling effect”, of fine particles, and the “wedge effect”, or “wall effect”, of coarse particles, can explain the relationship between the Weibull model gradation parameters and porosity. The gradation parameters have a corresponding relationship with the classical non-uniformity coefficient Cu and curvature coefficient Cc indexes. Cu and Cc indicators can be used to judge the quality of the gradation at first and then optimize it by using the experimental results of the Weibull model parameters. The research results have application reference value for the filling design and compaction quality evaluation of large-scale coarse-grained soil.Graphical abstract
机译:摘要 堆石填石的充填特性是高坝中不可忽视的工程问题。合理控制和优化级配对于提高压实质量至关重要。通过数值试验和现场试验研究了级配分布规律与压实特性的关系,给出了大坝建设级配设计优化方法。结果表明,Weibull模型对连续粗粒土级配具有较好的适用性。堆石场的极端孔隙率具有结垢效应,当最大粒径达到400?mm时,基本可以消除结垢效应。基于神经网络的预测结果表明,Weibull模型级配参数与孔隙度密切相关。细颗粒的“占据效应”或“填充效应”,以及粗颗粒的“楔形效应”或“壁面效应”,可以解释Weibull模型级配参数与孔隙率之间的关系。渐变参数与经典非均匀系数Cu和曲率系数Cc指标存在对应关系。Cu和Cc指标可以先用Cu和Cc指标来判断级配的质量,然后利用Weibull模型参数的实验结果进行优化。研究成果对大型粗粒土的充填设计和压实质量评价具有应用参考价值。图形摘要

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