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.


  • English


  • Status: Active
  • Funding: $112958
  • Contract Numbers:


  • 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:

    Mountain-Plains Consortium

    North Dakota State University
    Fargo, ND  United States  58108
  • Project Managers:

    Tolliver, Denver

  • Performing Organizations:

    Dept. of Civil Engineering

    University of Colorado Denver
    Denver, CO  United States 

    Colorado State University

    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

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