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Field performance monitoring and modeling of instrumented pavement on I-35 in McClain County.

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  • Abstract:
    Phase 1 of this project was conducted to better understand the cause of pavement failure under

    actual traffic loading and environmental conditions. A 1,000-ft. long experimental pavement

    section was constructed on I-35 in McClain County and was instrumented for field data

    collection. The test section was designed to fail in a relatively short period of time under heavy

    interstate traffic. After approximately four years (from 2008 to 2012) of exposure to continuous

    interstate traffic and environment, the test section experienced significant rutting but no fatigue

    cracking. Therefore, the funding agency decided to monitor the test section for two additional

    years (from 2012 to 2014) as part of Phase 2 of the project. Additionally, a need for predicting

    distresses (i.e., rut, based on the site-specific data) using the Mechanistic Empirical Pavement

    Design Guide (MEPDG) software was expressed. In Phase 2 of this project, the quarterly field

    testing (FWD, rut measurements, roughness measurements, and crack mapping) was

    performed on a quarterly basis. Also, the weekly downloading of traffic data and data processing

    were performed to allow updating of the rut prediction models developed in Phase 1 of this

    study. Site-specific (Level 1) input parameters for traffic, climate and materials were developed

    in this study. Furthermore, the rut prediction models in the MEPDG software were calibrated

    using the developed input parameters and measured rut depths from the test section.

    Laboratory tests (Hamburg rut, four point beam fatigue, volumetric properties, etc.) were

    performed on the extracted samples from the test section. Moreover, the contribution of different

    pavement layers to total rutting was assessed by a forensic investigation involving cutting full-depth trenches at three selected locations of the test section

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    urn:sha256:65928b437a20139bf340828c7f3047a9766c05c5ae573c1354c8de5b11ecee0d
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    Filetype[PDF - 3.22 MB ]
File Language:
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