Using Data Analytics to Forecast Future Bridge Conditions

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. This proposed research will develop New Hampshire specific deterioration curves for key bridge elements based on collected bridge element condition data and maintenance records and, additionally, the framework to track adherence to recommended bridge investment strategies and determine the appropriateness of the strategies for New Hampshire.

Language

  • English

Project

  • Funding: $160,000
  • Contract Numbers:

    26962V

  • Sponsor Organizations:

    New Hampshire Department of Transportation

    John O. Morton Building
    P.O. Box 483
    Concord, NH  United States  03302-0483
  • Managing Organizations:

    New Hampshire Department of Transportation

    John O. Morton Building
    P.O. Box 483
    Concord, NH  United States  03302-0483
  • Project Managers:

    Nash, Deirdre

  • Performing Organizations:

    University of New Hampshire, Durham

    Department of Civil Engineering
    Durham, NH  United States  03824
  • Principal Investigators:

    Bell, Erin

  • Start Date: 20181101
  • Expected Completion Date: 20201231
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01686174
  • Record Type: Research project
  • Source Agency: New Hampshire Department of Transportation
  • Contract Numbers: 26962V
  • Files: RiP, STATEDOT
  • Created Date: Nov 20 2018 8:57AM