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基于颗粒堆积模型预测粗粒土最小孔隙比 被引量:6

Prediction of minimum void ratio of coarse-grained soil based on particle packing model
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摘要 最小孔隙比是粗粒土最基本的物性指标之一,目前除室内和现场试验外,很少有能够直接预测不同级配粗粒土乃至超粒径粗粒土最小孔隙比的方法。本文提出基于颗粒堆积模型预测粗粒土的最小孔隙比,在理想球形颗粒的情形下验证了将颗粒堆积模型用于粗粒土最小孔隙比预测的合理性。由于天然和实际工程中的粗粒土颗粒形状复杂多变,需要建立堆积模型参数与颗粒形状之间的联系,本文采用单一粒径粗粒土颗粒的最小孔隙比与粒径呈幂函数关系的假定,通过优化算法,由若干组试样的最小孔隙比试验结果反演粗粒土的堆积模型参数,并用于预测不同级配粗粒土的最小孔隙比。对不同工程粗粒土或超粒径粗粒土最小孔隙比的预测取得了良好效果,具有较强的工程应用价值。 The minimum void ratio is one of the most fundamental physical indexes of coarse-grained soil;but up to now,its direct prediction method is lacking for common or oversize coarse-grained soils with different gradations,and its calculation relies on laboratory and field tests.This paper presents a particle packing model for the direct prediction and verifies it through testing on the soil ideal sphere particles.Considering the complicated particle shapes of natural and engineering coarse-grained soils,linkages between the model parameters and particle shapes are needed;then we adopt a hypothesis of a power function relationship of the minimum void ratio versus particle size that holds true for monosize soils.We calibrate the parameters using an optimization algorithm and the experimental data of void ratio tests,and predict the minimum void ratio for different gradations.Application to several practical projects shows satisfactory results of this new method in predicting the minimum void ratio of common and oversize coarse-grained soils and its great value in engineering application.
作者 文喜南 马刚 王峰 周伟 刘其文 梅江洲 WEN Xinan;MA Gang;WANG Feng;ZHOU Wei;LIU Qiwen;MEI Jiangzhou(State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,Wuhan 430072;Key Laboratory of Rock Mechanics in Hydraulic Structural Engineering,Ministry of Education,Wuhan University,Wuhan 430072;Changjiang Survey,Planning,Design and Research Co.,Ltd.,Wuhan 430010;Guizhou Survey&Design Research Institute for Water Resources and Hydropower,Guiyang 550002)
出处 《水力发电学报》 EI CSCD 北大核心 2020年第3期76-85,共10页 Journal of Hydroelectric Engineering
基金 国家杰出青年科学基金项目(51825905) 贵州省科技重大专项(黔科合重大专项字[2017]6013-2号) 雅砻江联合基金(U1865204).
关键词 颗粒堆积模型 参数优化算法 粗粒土 超粒径粗粒土 最小孔隙比 particle packing model parameter optimization algorithm coarse-grained soil oversize coarse-grained soil minimum void ratio
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