Proactive and Intelligent Risk Management in Complex Civil Infrastructure Project Systems (4.12)

The construction of complex civil infrastructure projects, such as major transportation expansion and rehabilitation, usually faces various types of risks and uncertainties. If not managed properly, these risks and uncertainties bring significant negative impacts on project performance, causing schedule delays and cost overruns, which prevent these projects to enhance the durability and efficiency of our transportation infrastructures. This study proposes a more intelligent and proactive risk management framework, using advanced neural network analysis and simulation techniques. The methodology developed could help project teams deal with project risks and uncertainties in a more intelligent and proactive way, and thus improve project performance.

Language

  • English

Project

  • Status: Terminated
  • Funding: $149128
  • Contract Numbers:

    69A3551847101

  • Sponsor Organizations:

    Transportation Infrastructure Durability Center

    University of Maine
    Orono, ME  United States  04469

    University of Connecticut, Storrs

    Connecticut Advanced Pavement Laboratory
    270 Middle Turnpike, Unit 5202
    Storrs, CT  United States  06269-5202

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Transportation Infrastructure Durability Center

    University of Maine
    Orono, ME  United States  04469

    University of Connecticut, Storrs

    Connecticut Advanced Pavement Laboratory
    270 Middle Turnpike, Unit 5202
    Storrs, CT  United States  06269-5202

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Project Managers:

    Dunn, Denise

  • Performing Organizations:

    Transportation Infrastructure Durability Center

    University of Maine
    Orono, ME  United States  04469

    University of Connecticut, Storrs

    Connecticut Advanced Pavement Laboratory
    270 Middle Turnpike, Unit 5202
    Storrs, CT  United States  06269-5202
  • Principal Investigators:

    Zhu, Jin

  • Start Date: 20210715
  • Expected Completion Date: 20230930
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01851275
  • Record Type: Research project
  • Source Agency: Transportation Infrastructure Durability Center
  • Contract Numbers: 69A3551847101
  • Files: UTC, RIP
  • Created Date: Jul 14 2022 10:45AM