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Rapid estimation of resilient modulus of subgrade soils using performance-related soil properties

机译:用性能相关土壤性能快速估计路基土壤弹性模量

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摘要

This study aims at developing an efficient and accurate methodology to estimate the resilient modulus of subgrade soils. First, a new resilient modulus model incorporating stress dependence and moisture dependence was proposed. Second, prediction models were developed to conveniently and accurately determine model parameters of SWCC and resilient modulus model. In order to characterise the moisture dependence of subgrade soils, the matric suction was added into the proposed model. The matric suction was measured by the pressure plate test and the soil-water characteristic curve (SWCC) was used to determine the matric suction value at any given moisture contents. In order to develop prediction models for model parameters of SWCC and resilient modulus model, the laboratory experiments and multiple regression analysis were conducted on 22 soil samples. A series of performance-related soil properties were measured and used to develop the coefficients prediction models. The developed coefficients prediction models using the performance-related soil properties have high R-squared values and were validated by comparing the measured and predicted values of resilient modulus. Therefore, when the basic physical properties of soils were obtained, the resilient modulus can be predicted for the subgrade soils at any given matric suctions and stress states.
机译:本研究旨在开发一种高效和准确的方法来估计落后土壤的弹性模量。首先,提出了一种新的弹性模量模型,包括应力依赖性和湿度依赖性。其次,开发了预测模型以方便,准确地确定SWCC和弹性模量模型的模型参数。为了表征Droprade土壤的湿度依赖性,将测力吸入到所提出的模型中。通过压板试验测量原料抽吸,并使用土壤 - 水特征曲线(SWCC)来确定任何给定的水分含量的测定值。为了开发SWCC和弹性模量模型的模型参数的预测模型,在22种土壤样品上进行实验室实验和多元回归分析。测量了一系列与性能相关的土壤性质,并用于开发系数预测模型。使用性能相关土壤特性的开发系数预测模型具有高的R线值,并通过比较有弹性模量的测量和预测值来验证。因此,当获得土壤的基本物理性质时,可以预测可弹性模量在任何给定的Matric Sunction和应力状态下对粪便土壤预测。

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