首页> 外文期刊>The international journal of pavement engineering >Models to estimate subgrade resilient modulus for pavement design
【24h】

Models to estimate subgrade resilient modulus for pavement design

机译:估算路面设计的路基弹性模量的模型

获取原文
获取原文并翻译 | 示例
           

摘要

Subgrade soil characterization, in terms of resilient modulus, is crucial for both flexible and rigid pavement design. Resilient moduli measured through repeated triaxial load tests on cylindrical disturbed/undisturbed samples are frequently used for characterizing subgrade soil. Because of the complexities encountered with the test, in-situ and other laboratory tests would be desirable if a reliable correlation can be established. In this paper, data from two-field test programs was used in developing correlation equations to predict resilient modulus of fine- and coarse-grained soils. Undisturbed samples are extracted from 12 in-service Mississippi subgrades, using a Shelby tube, and tested in a repeated triaxial machine for M_R employing AASHTO TP46-94 protocol. The results suggest two comprehensive models-one for fine-grained and another for coarse-grained soil-in correlating laboratory M_R to stress state. Model parameters are then correlated with soil index properties allowing the models to capture the effect of stress state, soil type and soil properties. For model verification, an independent set of data from nine different Mississippi subgrades is used, observing good comparison between actual and predicted moduli.
机译:就弹性模量而言,路基土壤特性对于柔性和刚性路面设计都至关重要。通过对圆柱状受扰动/未受扰动的样本进行反复三轴载荷测试而测得的弹性模量通常用于表征路基土壤。由于测试遇到的复杂性,如果可以建立可靠的关联,则需要进行原位测试和其他实验室测试。在本文中,两场试验程序的数据被用于建立相关方程,以预测细粒和粗粒土的弹性模量。使用谢尔比管从12个服役的密西西比州路基中提取未扰动的样品,并在重复的三轴机床上使用AASHTO TP46-94协议测试M_R。结果表明,在实验室M_R与应力状态相关的情况下,有两种综合模型-一种用于细粒土,另一种用于粗粒土。然后将模型参数与土壤指数特性相关联,从而使模型能够捕获应力状态,土壤类型和土壤特性的影响。对于模型验证,使用了来自九个不同密西西比路基的独立数据集,观察了实际模量与预测模量之间的良好对比。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号