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Application of Intelligent Compaction Technology for Estimation of Effective Modulus for a Multilayered Asphalt Pavement

机译:智能压实技术在多层沥青路面有效模量估算中的应用

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摘要

In this paper, a procedure for estimation of effective modulus of a multilayered hot mix asphalt (HMA) pavement using intelligent compaction (IC) is investigated. The study is conducted during the construction of an interstate highway (Ⅰ-35) in Norman, OK, A complete coverage of the level of compaction of each of the asphalt pavement layers was recorded using the intelligent asphalt compaction analyzer (IACA). The collected IACA data allow determination of the level of compaction (density) at any selected location, for each layer, and provided a set of global positioning system (GPS) coordinates. Calibration procedures have previously been tested and validated by the authors to estimate the density of different types of pavements from IACA data. In this paper, a different calibration procedure is used to measure the dynamic modulus instead of the density of a pavement using IACA. Considering the IACA estimated density, the dynamic modulus of each of the selected locations for an individual pavement layer was measured from laboratory developed master curves. Thereafter, an effective modulus of the three-layer pavement system was calculated for all of the selected locations using Odemark's method. The proposed technique was verified by conducting falling-weight deflectometer (FWD) tests at these selected locations. Analyses of the results show that the proposed intelligent compaction technique may be promising in estimating the effective modulus of the pavement layers in a non-destructive manner. In addition, the Witczak model was used to estimate moduli of each of the pavement layers. The comparison of the Witczak model with FWD revealed that the model over-predicted the modulus significantly.
机译:本文研究了一种使用智能压实(IC)估算多层热拌沥青(HMA)路面有效模量的方法。该研究是在俄克拉荷马州诺曼市的州际高速公路(Ⅰ-35)的建设过程中进行的。使用智能沥青压实分析仪(IACA)记录了每个沥青路面层的压实程度的完整信息。收集的IACA数据允许确定每一层任何选定位置的压实度(密度),并提供一组全球定位系统(GPS)坐标。作者先前已对校准程序进行了测试和验证,可以根据IACA数据估算不同类型的路面的密度。在本文中,使用不同的校准程序来测量动态模量,而不是使用IACA来测量人行道的密度。考虑到IACA估计的密度,从实验室开发的主曲线测量了单个铺装层的每个选定位置的动态模量。此后,使用Odemark方法计算所有选定位置的三层路面系统的有效模量。通过在这些选定的位置进行落锤式偏转计(FWD)测试,验证了所提出的技术。结果分析表明,提出的智能压实技术有望以无损方式估算路面的有效模量。此外,Witczak模型用于估算每个路面层的模量。 Witczak模型与FWD的比较表明,该模型显着高估了模量。

著录项

  • 来源
    《Journal of testing and evaluation》 |2015年第2期|308-318|共11页
  • 作者单位

    Dept. of Civil Engineering, Indian Institute of Technology, Mumbai, India;

    Emerging Technologies, Advanced Engineering, Volvo Construction Equipment, Shippensburg, PA, United States of America;

    School of Electrical and Computer Engineering, Univ. of Oklahoma, Norman, OK, United States of America;

    David Ross Boyd Professor and Aaron Alexander Professor, Associate Dean for Research and Graduate Programs, College of Engineering, Univ. of Oklahoma, Norman, OK, United States of America;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    intelligent compaction; stiffness; FWD; Witczak model;

    机译:智能压实;刚性;前轮驱动;Witczak模型;

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