• DocumentCode
    526050
  • Title

    Notice of Retraction
    Study of optimum scheme in hoisting large-scale reinforced concrete long post

  • Author

    Wei Kong ; Hai Du

  • Author_Institution
    Coll. of Civil Eng., Northeast Dianli Univ., Jilin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    12-13 June 2010
  • Firstpage
    361
  • Lastpage
    364
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    In order to solve the problem of hoisting large-scale reinforced concrete long post, during the construction of power plants or industrial buildings, an optimum hoisting scheme is studied, and the corresponding computer program is compiled. Mathematical models for the internal forces of double-crane and double-rope system are established. The lifting-point positions are taken as design variables. The objective function is to minimize the maximum moment in the process of hoisting long posts. The constraints are imposed by the penalty strategy. And get the optimization solution through grid method and genetic algorithm. The best rope system is determined by comparing the computational results of initial rope systems under respective best lifting-points. In the end, the correction and efficiency of the scheme are proved by a calculation example. The results indicate that the peak of maximum moment is decreased by about 30% through choosing the optimum rope system, lifting-points and rope length.
  • Keywords
    construction equipment; genetic algorithms; hoists; reinforced concrete; best rope system; double-crane; double-rope system; genetic algorithm; grid method; industrial buildings; internal forces; large-scale reinforced concrete long post; lifting-point positions; mathematical model; objective function; optimum hoisting scheme; optimum scheme; power plants; Computational efficiency; Genetics; Optimization; Search problems; genetic algorithm; hoisting; optimum rope system; reinforced conrete long post;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6944-4
  • Type

    conf

  • DOI
    10.1109/CCTAE.2010.5544787
  • Filename
    5544787