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Estimation of Resilient Modulus of Subgrade Soils for Design of Pavement Structures

机译:路面结构设计的路基土弹性模量估算

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Field and laboratory testing programs were conducted to develop an efficient methodology for estimating resilient modulus (M_r) values of subgrade soils for use in the design of pavement structures. The field testing program consisted of obtaining Shelby tube samples of subgrade soils from different pavement projects throughout Louisiana. The laboratory program included conducting repeated load triaxial M_r tests as well as physical property tests on the collected samples. The validity of the correlation equations developed by the long-term pavement performance (LTPP) to predict the M_r was examined. In general, the LTPP model underestimated the values of M_r coefficients obtained in this study. A comprehensive regression analysis was conducted to develop models that predict the M_r coefficients of different subgrade soils in Louisiana using different physical properties. A good agreement was observed between the measured and predicted M_r coefficient values. Furthermore, the developed models had a better prediction of measured M_r coefficient values than the LTTP models. Finally, a catalog of resilient modulus of subgrade soils at different moisture content levels was developed.
机译:进行了野外和实验室测试计划,以开发一种有效的方法来估算用于路面结构设计的路基土壤的弹性模量(M_r)值。现场测试程序包括从路易斯安那州不同路面项目获得路基土壤的谢尔比管样品。实验室程序包括对收集的样品进行重复载荷三轴M_r测试以及物理性能测试。检查了由长期路面性能(LTPP)开发的预测M_r的相关方程的有效性。通常,LTPP模型低估了本研究中获得的M_r系数的值。进行了全面的回归分析,以开发模型来预测路易斯安那州使用不同物理特性的不同路基土壤的M_r系数。在测量的和预测的M_r系数值之间观察到良好的一致性。此外,与LTTP模型相比,开发的模型对测得的M_r系数值具有更好的预测。最后,建立了不同水分含量下路基土壤的弹性模量目录。

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