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A new approach for developing resilient modulus master surface to characterize granular pavement materials and subgrade soils

机译：开发弹性模量主表面以表征颗粒状路面材料和路基土壤的新方法

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摘要

Resilient modulus is a fundamental material property used for pavement materials characterization. A new methodology for predicting the resilient modulus of unbound/stabilized pavement materials and subgrade soils is developed based on a master surface function at a reference water content. The resilient modulus measurements at different levels of water content are shifted horizontally with respect to the octahedral shear stress, and bulk normal stress; simultaneously. A total of 2754 resilient modulus laboratory measurements, obtained from literature, for five granular base materials, four subgrade soils, one recycled crushed concrete material, and three cement-treated stabilized fine materials are used to evaluate the proposed Master Surface model for the resilient modulus prediction as a function of the stress state, and water content. The proposed predictive methodology is compared to well-known models from literature. The comparison of the investigated models exhibits that the Master Surface model has the most precise and unbiased predictions after numerically optimizing the resilient modulus data. (C) 2018 Elsevier Ltd. All rights reserved.
机译：弹性模量是用于路面材料表征的基本材料属性。基于参考水含量下的主表面函数，开发了一种预测未结合/稳定的路面材料和路基土壤弹性模量的新方法。相对于八面体剪切应力和整体法向应力，在不同含水量下的弹性模量测量值水平移动。同时。从文献中获得的总共2754个弹性模量实验室测量值用于评估五种颗粒状基础材料，四种路基土壤，一种再生的压碎混凝土材料和三种水泥处理的稳定细料，以评估建议的主表面模型的弹性模量预测作为应力状态和水含量的函数。所提出的预测方法与文献中的知名模型进行了比较。对研究模型的比较表明，在对弹性模量数据进行数值优化后，主曲面模型具有最精确和无偏的预测。 （C）2018 Elsevier Ltd.保留所有权利。

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