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Soil stiffness as a function of dry density and the degree of saturation for compaction control
Soils and Foundations ( IF 3.7 ) Pub Date : 2021-07-10 , DOI: 10.1016/j.sandf.2021.06.007
Fumio Tatsuoka 1 , Takeshi Hashimoto 2 , Kazuyoshi Tateyama 3
Affiliation  

A data set of the coefficient of vertical subgrade reaction for a plate diameter of 30 cm, KP.FWD, measured by Portable Falling Weight Deflectometer tests in full-scale compaction tests on sandy soil using various types of compaction machines was analysed. Based on this analysis and the previous analysis of a CBR data set from another full-scale compaction test series, a set of conclusions could be drawn. The soil stiffness indexes (SSIs), CBR and KP.FWD, can be expressed by, respectively, an empirical equation multiplying a function of ρd and another of Sr, where CBR and KP.FWD decrease significantly as Sr increases. As such, ρd values cannot be estimated from SSI alone. By fixing the field ρdw compaction curve by keeping the soil type and the field compaction energy level, CELf, to those in the field compaction tests in which the SSI – ρdSr correlation has been calibrated, field compacted ρd & w states can be estimated by measuring the SSI values. Then, by the upper-bound and lower-bound control of SSI, the field compacted states approach the specified target, where, typically, ρd = the maximum dry density for CELf and Sr = the optimum degree of saturation, (Sr)opt. A method to incorporate this indirect but fast SSI-based compaction control into the conventional ρd & w-based compaction control is proposed.



中文翻译:

土壤刚度作为干密度和压实控制饱和度的函数

分析了通过便携式落锤挠度计测试在使用各种类型的压实机对沙质土壤进行全尺寸压实测试中测量的 30 cm 板直径的垂直路基反应系数数据集K P.FWD。基于此分析和之前对来自另一个全尺寸压实测试系列的CBR数据集的分析,可以得出一组结论。土壤刚度指数(的SSI),CBRķ P.FWD,可以通过,表示分别的经验方程乘以ρ的函数d和另一个的小号- [R ,其中CBRķP.FWD随着S r 的增加而显着降低。因此,不能仅从SSI估计ρ d值。通过将土壤类型和现场压实能量水平CEL f 固定到现场压实测试中的那些,其中SSI – ρ dS r相关性已被校准,现场压实 ρ通过固定现场 ρ dw压实曲线d & w状态可以通过测量SSI值来估计。然后,通过SSI的上下限控制,现场压实状态接近指定目标,其中,通常,ρ d  = CEL f的最大干密度,S r  = 最佳饱和度,( S r ) opt。提出了一种将这种间接但快速的基于SSI的压实控制结合到传统的基于ρ d & w的压实控制中的方法。

更新日期:2021-08-01
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