• DocumentCode
    2222345
  • Title

    Optimization of casting process parameters for homogeneous aggregate distribution in self-compacting concrete: A feasibility study

  • Author

    Spangenberg, Jon ; Tutum, Cem Celal ; Hattel, Jesper Henri ; Roussel, Nicolas ; Geiker, Mette Rica

  • Author_Institution
    Dept. of Mech. Eng., Tech. Univ. of Denmark, Lyngby, Denmark
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    2163
  • Lastpage
    2169
  • Abstract
    The use of self-compacting concrete (SCC) as a construction material has been getting more attention from the industry. Its application area varies from standard structural elements in bridges and skyscrapers to modern architecture having geometrical challenges. However, heterogeneities induced during the casting process may lead to variations of local mechanical properties and hence to a potential decrease in load carrying capacity of the structure. This paper presents a methodology for optimization of SCC casting aiming at having a homogeneous aggregate distribution; a beam has been used as geometric example. The aggregate distribution is predicted by a numerical flow model coupled with a user defined volume fraction subroutine. The process parameters in casting with SCC in general are horizontal and vertical positions, movement, as well as the size of the inlet, and the duration of the filling etc., however since this work is the initial feasibility study in this field, only three process parameters are considered. Despite the reduction in the number of process parameters, the complexity involved in the considered casting process results in a non trivial optimal design set.
  • Keywords
    aggregates (materials); beams (structures); casting; compaction; concrete; numerical analysis; optimisation; beams; casting process parameters; construction materials; homogeneous aggregate distribution; numerical flow model; optimization; self compacting concrete; user defined volume fraction subroutine; Aggregates; Casting; Mathematical model; Numerical models; Optimization; Viscosity; Flow simulation; Genetic algorithms; Self-Compacting Concrete; Simulation based optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949882
  • Filename
    5949882