Optimization of a pavement instrumentation plan for a full-scale test road : evaluation.
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Optimization of a pavement instrumentation plan for a full-scale test road : evaluation.

Filetype[PDF-4.06 MB]


English
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  • Creators:
    Rice, Jennifer A.
  • Corporate Creators:
    University of Florida. Dept. of Civil and Coastal Engineering
  • Subject/TRT Terms:
  • Publication/ Report Number:
    BDV31-977-04
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Florida
  • Corporate Publisher:
    Florida. Dept. of Transportation
  • Abstract:
    A 2.5-mile, concrete test road is planned for construction by the Florida Department of Transportation (FDOT) in

    2016. To support the goals of the test road, a comprehensive instrumentation system is required to provide

    reliable data over a long period. The unique challenges posed by the geographical location and configuration of

    the test pavement require sensors that can employ long sensor cables without compromising data quality and

    have limited susceptibility to damage from lightning strike. The research conducted for this report investigated

    the availability and performance of traditional and emerging instrumentation approaches for the embedded

    measurement of concrete strains and temperatures. Fiber optic sensors possess features that overcome the

    specific challenges of the proposed test pavement and were chosen for experimental evaluation alongside the

    copper-based sensors that have been routinely employed by the State Materials Office (SMO). The candidate

    strain sensors were initially evaluated in a series of non-embedded tests to assess their measurement capabilities,

    noise susceptibility, temperature sensitivity, and ease of installation and use. A small concrete test slab was then

    constructed for longer-term evaluation of the various sensor types in conditions similar to those of the proposed

    test road. The duration of the test slab experiments (several weeks) exposed the slab to environmentally-induced

    loads and dynamic wheel loads imposed by a Heavy Vehicle Simulator. The resulting strain and temperature

    measurements were analyzed to assess the accuracy, repeatability, and robustness of the sensors. The copper and

    fiber optic strain sensors yielded similar measurement results; however, the fiber optic sensors provided a more

    streamlined installation and setup process. The cost of the individual fiber optic sensors is higher than the copper

    sensors; however, the fiber optic sensors require fewer data acquisition (DAQ) units. A hybrid instrumentation

    plan (copper/fiber optic) is suggested to optimize instrumentation costs while ensuring the measurement needs

    and data quality requirements of the test pavement are met.

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