A Knowledge Management Platform for Infrastructure Performance Modeling

Performance models are used to process condition data in order to assess current needs, and to forecast (the effect of interventions/investments on) future condition, and in turn (on) the remaining service-life or time-to-failure distribution of infrastructure facilities and their components. Performance models are mathematical expressions that relate condition data to a set of explanatory variables such as design characteristics, traffic loading, environmental factors, and history of maintenance activities. The motivation for our work is that in the last 40 years, and particularly in the last 10-15 years with developments in statistics and in computer availability, storage capacity and power, numerous techniques have been employed to estimate these models under different structural assumptions, using countless data types and sources, and to address and support a plethora of managerial decisions, i.e., design, construction, maintenance and rehabilitation. Unfortunately, these efforts have been disconnected and as a result there is a lack of standards/criteria for the development, utilization, evaluation and selection of performance models. Thus, the objective is to build an online platform/repository/test-bed to facilitate the exchange of data and information related to performance models as a step to correct this significant problem.


  • English


  • Status: Completed
  • Contract Numbers:


  • Sponsor Organizations:

    Infrastructure Technology Institute (ITI)

    Northwestern University
    L260 Technological Institute, 2145 Sheridan Road
    Evanston, IL  United States  60208-3109
  • Principal Investigators:

    Durango-Cohen, Pablo

  • Start Date: 20080307
  • Expected Completion Date: 0
  • Actual Completion Date: 20090831
  • Source Data: RiP Project 16778

Subject/Index Terms

Filing Info

  • Accession Number: 01468447
  • Record Type: Research project
  • Source Agency: Infrastructure Technology Institute (ITI)
  • Contract Numbers: A225
  • Files: UTC, RiP
  • Created Date: Jan 3 2013 3:51PM