• DocumentCode
    1863001
  • Title

    Material Consumption Estimation of High-Rise Buildings Based on SVM

  • Author

    Jie Ni ; Fei Tan

  • Author_Institution
    Dept. of Project Eng. & Econ., Hohai Univ., Nanjing, China
  • Volume
    1
  • fYear
    2013
  • fDate
    26-27 Aug. 2013
  • Firstpage
    112
  • Lastpage
    116
  • Abstract
    Estimation of steel consumption is an essential part of the implementation of quota design. Increasing accuracy of this estimation will not only help control the design phase, but also back up project decision and make it possible to conduct procurement plan earlier, which will shorten project life cycle. This paper adopts Support Vector Machine method among the numerous methods to apply it to this estimation in high-rise residential buildings and achieve relatively high accuracy through case verification. Furthermore, the influences of input variables´ variation on the outcome are revealed via sensitivity analysis, which can sustain project decision.
  • Keywords
    buildings (structures); construction industry; design engineering; procurement; project management; steel; structural engineering computing; support vector machines; SVM; case verification; design phase; high-rise residential buildings; material consumption estimation; procurement plan; project decision; project life cycle; quota design; sensitivity analysis; steel consumption; support vector machine method; Accuracy; Estimation; Feature extraction; Floors; Steel; Support vector machines; Support Vector Machine; high-rise buildings; material consumption; project decision; project estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-5011-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2013.34
  • Filename
    6643846