This project's goal was to improve asset management through Risk-Based Inspection (RBI) practices. The research was intended to amplify the results of prior research that produced the Proposed Guidelines for Reliability-Based Inspection Practices. Under the new provisions of the National Bridge Inspection Standards (NBIS), bridge owners that implement a risk-based inspection (RBI) analysis can determine risk-based inspection intervals of up to 72 months for certain bridges. This research focused on developing implementation strategies to aid bridge owners in implementing these new NBIS rules. Reliability Assessment (RAP) meetings were held in six states during the research. Risk models were developed and applied to 60 sample bridges. These data were analyzed by comparing results with target values developed during the research. A data-driven methodology for analyzing the risk models based on bridge inventory data was developed. This methodology provides a means of calibrating and verifying the risk models. The method was found to be effective at analyzing the models and communicating their effectiveness. It was also found that there was consistency in the risk models developed by different RAP and these risk models were consistent with the target ranges developed through the research.
Report number: cmr 24-020
Published: October 2024
Project number: TR201910/TPF-5(388)
Authors: Glenn Washer, Henry Brown, Robert Connor, and Mohammed Hammed
Performing organization: University of Missouri-Columbia
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