Investigating the Applicability of Multi-Fidelity Modeling to Condition Evaluation of Transportation Infrastructure
Evaluating the condition of transportation assets such as bridges is a critical and resource intensive part of the asset management process. Furthermore, information about the condition of assets may come from a variety of sources and some of the techniques that provide the greatest level of detail about condition are too time consuming or expensive to be practically applied to all structures. This research study will investigate the application of multi-fidelity modeling to evaluating the condition of transportation assets. Multi-fidelity modeling combines expensive high-fidelity data with low cost low-fidelity data to provide better predictions of condition at a lower cost. The objectives of this project are to, first, study ways of grouping bridges (or other assets) to allow for multi-fidelity modeling of a group; second, apply multi-fidelity modeling techniques using existing data sources; and third, evaluate the efficacy of multi-fidelity modeling in the context of transportation asset management considering the accuracy of predictions and lifecycle cost implications.
Language
- English
Project
- Status: Active
- Funding: $123000
-
Contract Numbers:
69A3551747108
-
Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
North Dakota State University
Fargo, ND United States 58108 -
Project Managers:
Tolliver, Denver
-
Performing Organizations:
Dept. of Civil and Environmental Engineering
Colorado State University
Fort Collins, CO United States -
Principal Investigators:
Atadero, Rebecca
Guo, Yanlin
- Start Date: 20200218
- Expected Completion Date: 20240731
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Source Data: MPC-618
Subject/Index Terms
- TRT Terms: Asset management; Bridges; Condition surveys; Data analysis; Evaluation; Infrastructure; Life cycle costing
- Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation; Planning and Forecasting;
Filing Info
- Accession Number: 01732678
- Record Type: Research project
- Source Agency: Mountain-Plains Consortium
- Contract Numbers: 69A3551747108
- Files: UTC, RIP
- Created Date: Mar 3 2020 9:13PM