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Development of dynamic modulus master curves of in-service asphalt layers using MEPDG models

机译:使用MEPDG模型开发使用MEPDG型号的营养沥青层的动态模数主曲线

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摘要

The new mechanistic-empirical pavement design guide (MEPDG) uses a combination of field and laboratory tests for structural analysis of in-service pavements. In this guide, asphalt dynamic modulus (|E*|) is one of the most important parameters used in flexible pavement design and rehabilitation approaches. This paper evaluates the validity of dynamic modulus models used in MEPDG for in-service asphalt pavements. For this purpose, nine asphalt pavement sites with various structural, ages and conditions were selected in Khuzestan and Kerman provinces in southern regions in Iran. At each site, falling weight deflectometer data, resilient modulus (determined from the cored samples) and surface condition data were collected. These three sets of data are necessary to compute damages at input levels of 1, 2 and 3 in MEPDG, respectively. Core samples were extracted, and mix volumetric properties as well as their binder characteristics were determined. Viscosity-based NCHRP 1-37A (Witczak) and G*-based NCHRP 1-40D (Modified Witczak) dynamic modulus predictive models were incorporated into these three input levels and six combinations of in situ |E*| master curves were developed. Analysis of the results indicates a weak correlation between field backcalculated moduli and those measured in laboratory. Hence, application of both field and laboratory moduli is not necessarily a good approach to determine damages, and the MEPDG proposed method would better be modified. Validation of MEPDG models showed that the NCHRP 1-37A model predicts dynamic modulus master curves with lower errors rather than the NCHRP 1-40D model. In addition, using the NCHRP 1-37A model at input level 1 would be a better approach among the others to evaluate both new and rehabilitated asphalt layers. Results will also be useful for local agencies in implementation of American Association of State Highway and Transportation Officials (AASHTO)mechanistic-empirical pavement design procedure in various climatic conditions.
机译:新的机制 - 经验路面设计指南(MEPDG)采用了现场和实验室测试的组合,用于在役路面的结构分析。在本指南中,沥青动态模量(| e * |)是柔性路面设计和康复方法中最重要的参数之一。本文评估了MEPDG用于营业沥青路面的MEPDG动态模量模型的有效性。为此目的,在伊朗南部南部地区的Khuzestan和Kerman省选出了九个沥青路面景点,克尔曼省。在每个站点处,收集重量偏转仪数据,弹性模量(从粘附样本确定)和表面条件数据。这三套数据是在MEPDG中分别计算1,2和3的输入水平的损坏。提取核心样品,并测定其混合体积特性以及它们的粘合剂特性。基于粘度的NCHRP 1-37A(Witczak)和G *基于NCHRP 1-40D(改进的Witczak)动态模量预测模型被纳入了这三个输入水平和原位的六种组合e * |制定了主曲线。结果分析表明场后划分的模量与实验室中测量的那些之间的弱相关性。因此,对现场和实验室模量的应用不一定是确定损害的良好方法,并且更好地修改MEPDG的方法。 MEPDG模型的验证表明,NCHRP 1-37A模型预测了具有较低误差而不是NCHRP 1-40D模型的动态模数主曲线。此外,在输入级别1中使用NCHRP 1-37A模型将是其他更好的方法,以评估新的和康复的沥青层。结果对各种气候条件下的美国国家公路和运输官员(AASHTO)机械经验性路面设计程序中的当地机构也有用。

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