Optimal Selection of Upgrade and Maintenance Interventions to Minimize Life-Cycle-Cost
Operation and maintenance costs are reported to be the longest and most costly phase of buildings and infrastructure systems where it exceeds cost of design and construction. This proposal presents the development an innovation optimization model that can identify optimal selection of upgrade and maintenance interventions to minimize life-cycle-cost or equivalent annual cost of buildings and bridges. The model will be developed in three main steps (1) formulation step where decision variables, objective function and constraints are identified and formulated; (2) implementation step where an optimization algorithm is selected to execute the model computations efficiently; and (3) evaluation step where the performance of the optimization model is verified using case studies. The research team will study two applications of the proposed model, including upgrade and maintenance of buildings and bridges. Furthermore, the team will study the feasibility of expanding the model to analyze multiple assets, such as building portfolio.
Language
- English
Project
- Status: Active
- Funding: $112958
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Contract Numbers:
69A3551747108
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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
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Performing Organizations:
University of Colorado Denver
Denver, CO United States Department of Construction Management
102 Guggenheim Hall
Fort Collins, CO United States 80523 -
Principal Investigators:
Abdallah, Moatassem
Ozbek, Mehmet
- Start Date: 20211112
- Expected Completion Date: 20240731
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Source Data: MPC-676
Subject/Index Terms
- TRT Terms: Bridges; Costs; Innovation; Life cycle costing; Maintenance; Mathematical models; Modernization; Optimization
- Subject Areas: Bridges and other structures; Finance; Highways; Maintenance and Preservation; Planning and Forecasting;
Filing Info
- Accession Number: 01789837
- Record Type: Research project
- Source Agency: Mountain-Plains Consortium
- Contract Numbers: 69A3551747108
- Files: UTC, RIP
- Created Date: Nov 30 2021 10:31AM