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A semi-automated faulting measurement approach for rigid pavements using high speed inertial profiler data.

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  • Abstract:
    Faulting measurements have traditionally been conducted manually using faultmeters. However,

    operating any manual device such as a faultmeter close to vehicular traffic is hazardous to the operator

    and the traveling public. Automated methods like those associated with high-speed profilers, offer a safer,

    more efficient, and cost effective alternative. Therefore, there is a need to develop an automated method

    for measuring joint faulting using longitudinal profiles from high-speed profilers.

    A study was initiated with a primary objective of determining an appropriate profiler sampling interval to

    accurately locate transverse joints. A second objective was to determine how well faulting estimated

    from profile elevation compares with faulting measured with a Georgia Faultmeter.

    An algorithm was developed which can accurately detect on average 95% of transverse joints from profile

    data collected at highway speed using a 0.68 inch (17.3 mm) sampling interval. This algorithm was also

    adapted to estimate faulting measured with a Georgia Faultmeter in accordance with the AASHTO R36-

    04 Protocol. Although the algorithm results are repeatable it over-estimated the faulting at joints by 0.05

    in (1.3 mm) to 0.06 in (1.5 mm) compared to faulting measured with the Georgia Faultmeter.

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    urn:sha256:3b10209499934f2ce9507913a3f62296f7f066d73f619a18a69f8a0165c7c0dd
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