Bridge condition assessment and load rating using dynamic response.
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Bridge condition assessment and load rating using dynamic response.

Filetype[PDF-4.15 MB]


  • English

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    • Abstract:
      This report describes a method for the overall condition assessment and load rating of prestressed box beam

      (PSBB) bridges based on their dynamic response collected through wireless sensor networks (WSNs). Due to a

      large inventory of deficient and aging bridges in the United States, the health monitoring of bridges can be very

      expensive; therefore, new tools for quick, efficient and response-based condition assessment and load rating of

      bridges will be helpful. The hypothesis is based on the assumption that the health of a bridge is associated with

      its vibration signatures under vehicular loads. Two WSNs were deployed on a 25-year old PSBB bridge under

      trucks with variable loads and speeds, and its dynamic response was collected at the current condition. The

      acceleration response of the bridge at its newest condition was collected from dynamic simulations of its full-scale finite element analysis (FEA) models mimicking field conditions. The FEA bridge model was validated by

      the field testing and numerical analysis. The acceleration data in time domain were transformed into frequency

      domain using Fast Fourier Transform to determine peak amplitudes and corresponding fundamental

      frequencies for the newest and current conditions. The analyses and comparisons of the bridge dynamic

      response between the newest and the current bridge interestingly indicate a 37% reduction in its fundamental

      frequency over 25 years of service life. This frequency reduction is linked to the reduction in condition rating of

      the current bridge. The analysis data, bridge structural dynamics and bridge geometric parameters have been

      used to calculate the in-service stiffness of the bridge to estimate its load bearing capacity. Using the results

      and algorithms from this research, application software is developed to instantly estimate the overall condition

      rating and load bearing capacity of a PSBB bridge under vehicular loads. The research outcome and the

      software will help in performing quick and cost-effective condition assessment and load rating of PSBB bridges,

      and may provide a better ability to plan replacements and develop load ratings.

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