United States Department of Transportation
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Edition:FINAL REPORT (2019-2021)
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Abstract:Reliable data-driven forecasting models allow for public agencies to plan for future needs and resource allocation. Conditions of bridge assets are managed through maintenance, preservation, rehabilitation and reconstruction. The New Hampshire Department of Transportation documents the appropriate timing of these treatments in Recommended Investment Schedules (RIS). Adhering to a bridge’s RIS extends useful service life. Quantification of the service life extension as well as how well bridges have adhered to Recommended Investment Schedules remains a challenge. Element-level condition assessment data is collected and tracked in a standardized format for each bridge asset in a transportation network. Maintenance and repair records, however, are not and must be tabulated before correlation with other data. Correlating this tabulated data with conditions will support the development of deterioration models that function according to treatment actions, environmental condition, and traffic usage. Condition forecasting using such deterioration models will provide insight into the long-term ramifications of investment strategies that leverage varying amount of maintenance, preservation, and rehabilitation. This research presents an approach to development of a framework to track adherence to recommended bridge investment strategies. Preliminary bridge condition processing and literature reviews of relevant deterioration modeling are included.
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