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.

Record URL:

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

TRT Terms: Bridge engineering; Forecasting; Investments
Subject Areas: Bridges and other structures; Maintenance and Preservation; Planning and Forecasting;

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