• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>GEO-DENVER 2007 >Geomaterial Characterizations of Full Scale Pavement Test Sections for Mechanistic Analysis and Design
【24h】

Geomaterial Characterizations of Full Scale Pavement Test Sections for Mechanistic Analysis and Design

机译：完整路面试验段的土工材料表征，以进行机械分析和设计

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Resilient modulus is a key input property of pavement foundation geomaterials, I.e., subgrade soil and base/subbase unbound aggregate, for the mechanistic-empirical design of flexible pavements. Recent research at the University of Illinois has focused on the development of a mechanistic model for the response analysis of geogrid reinforced flexible pavements. This model utilized the finite element approach and considered the nonlinear, stress dependent pavement foundation behavior in a similar way to the level I analysis approach in the 2002 Pavement Design Guide. To validate the response model as well as to develop pavement distress models, nine full-scale flexible pavement test sections, geogrid reinforced and unreinforced, were recently constructed. To quantify the effectiveness of geogrid reinforcement on low volume flexible pavements, the finegrained subgrade soils were carefully constructed and maintained at California Bearing Ratio (CBR) values 4% or lower throughout the test sections. A complete suite of laboratory and field tests were performed to characterize the pavement geomaterials for mechanistic analysis of the test section response. This required both monitoring of the pavement layer properties during construction and also development of modulus characterization models from multiple regression analyses of the laboratory test data.
机译：弹性模量是路面基础土工材料（即路基土壤和基层/基层未粘结骨料）的关键输入属性，用于柔性路面的机械经验设计。伊利诺伊大学的最新研究集中于开发用于土工格栅加筋柔性路面响应分析的机械模型。该模型利用了有限元方法，并以与2002年《路面设计指南》中的I级分析方法类似的方式考虑了非线性的，与应力有关的路面基础特性。为了验证响应模型并开发路面遇险模型，最近建造了九个全尺寸的柔性路面测试段，分别是土工格栅加固和未加固。为了量化土工格栅在小体积柔性路面上的有效性，精心构造了细颗粒的路基土，并在整个试验段中将其保持在加利福尼亚承载比（CBR）值为4％或更低。进行了一套完整的实验室和现场测试，以表征路面土工材料，以对测试段的响应进行机械分析。这既需要在施工过程中监控铺装层的性能，又需要根据实验室测试数据的多次回归分析来开发模量表征模型。

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