• DocumentCode
    1616662
  • Title

    Using reliability-based models to assess rehabilitation needs

  • Author

    Leggett, Mary Ann

  • Author_Institution
    USAE Waterways Exp. Station, Vicksburg, MS, USA
  • fYear
    1995
  • Firstpage
    139
  • Lastpage
    144
  • Abstract
    Due to increasing budget constraints, funding available to maintain, rehabilitate, improve, or replace aging US Army Corps of Engineers (USACE) structures is declining with respect to funding requirements. Therefore, the available funds must be selectively invested to achieve maximum benefits. To compete for scarce appropriation resources, USACE districts are now required to justify civil works rehabilitation project funding by demonstrating a need for improvement in reliability or efficiency. A risk-based benefit-cost model is utilized to establish funding justification. This analysis model requires input to assess the current condition of a structure and its degradation rate. This methodology incorporating both reliability and economic aspects would aid in forming a nationwide planning system
  • Keywords
    maintenance engineering; reliability theory; structural engineering; structural engineering computing; aging US Army Corps of Engineers structures; civil works rehabilitation project funding; economic aspects; funding justification; nationwide planning system; rehabilitation needs; reliability; reliability-based models; risk-based benefit-cost model; scarce appropriation resources; Aging; Degradation; Investments; Maintenance engineering; Navigation; Performance analysis; Reliability engineering; Safety; Stress; Strontium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-7126-2
  • Type

    conf

  • DOI
    10.1109/ISUMA.1995.527683
  • Filename
    527683