• DocumentCode
    2365131
  • Title

    Reliability model for cost estimation of pile foundations

  • Author

    Banafa, Ahmed ; Frangopol, Dan M. ; Mosher, Reed L.

  • Author_Institution
    King Abdulaziz Univ., Jeddah, Saudia Arabia
  • fYear
    1993
  • fDate
    25-28 Apr 1993
  • Firstpage
    129
  • Lastpage
    135
  • Abstract
    In estimating costs, the state of knowledge is imperfect when uncertainties arise from incomplete design information. Motivated by needs in design reliability for estimating costs at the time of the feasibility report, the authors address methods for quantifying the uncertainty in the design arising from the imperfect state of knowledge. A computer model of design reliability for estimating the cost of pile foundation projects is outlined and the flowchart of the main program is presented. The regression analysis method is used to develop both linear and nonlinear cost functions based on statistical data. The application of the computer program to real pile foundation projects has been performed using both linear and nonlinear cost function forms. Typical results are presented
  • Keywords
    CAD; civil engineering computing; costing; financial data processing; flowcharting; reliability; statistical analysis; uncertainty handling; computer program; cost estimation; design reliability; feasibility report; flowchart; imperfect knowledge; incomplete design information; linear cost functions; nonlinear cost functions; pile foundation projects; regression analysis; reliability model; uncertainties; Computational modeling; Cost function; Distribution functions; Flowcharts; Fuzzy logic; Fuzzy set theory; Monte Carlo methods; Regression analysis; State estimation; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-3850-8
  • Type

    conf

  • DOI
    10.1109/ISUMA.1993.366779
  • Filename
    366779