A simple formulation for effective flexural stiffness of circular reinforced concrete columns

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@Article{Caglar:2015:EAAI,
  author =       "Naci Caglar and Aydin Demir and Hakan Ozturk and 
                 Abdulhalim Akkaya",
  title =        "A simple formulation for effective flexural stiffness
                 of circular reinforced concrete columns",
  journal =      "Engineering Applications of Artificial Intelligence",
  volume =       "38",
  pages =        "79--87",
  year =         "2015",
  ISSN =         "0952-1976",
  DOI =          "doi:10.1016/j.engappai.2014.10.011",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0952197614002516",
  keywords =     "genetic algorithms, genetic programming, Effective
                 flexural stiffness, Moment-curvature, Reinforced
                 concrete, Eurocode-8, TEC-2007",
  size =         "9 pages",
  abstract =     "Concrete cracking reduces flexural and shear stiffness
                 of reinforced concrete (RC) members. Therefore
                 analysing RC structures without considering the
                 cracking effect may not represent actual behaviour.
                 Effective flexural stiffness resulting from concrete
                 cracking depends on some important parameters such as
                 confinement, axial load level, section dimensions and
                 material properties of concrete and reinforcing
                 steel.

                 In this study, a simple formula as a securer, quicker
                 and more robust is proposed to determine the effective
                 flexural stiffness of cracked sections of circular RC
                 columns. This formula is generated by genetic
                 programming (GP). The generalisation capabilities of
                 the explicit formulations are compared by cross
                 sectional analysis results and confirmed on a 3-D
                 building model. Moreover the results from GP based
                 formulation are compared with EC-8 and TEC-2007. It is
                 demonstrated that the GP based model is highly
                 successful to determine the effective flexural
                 stiffness of circular RC columns.",
}

Genetic Programming entries for Naci Caglar Aydin Demir Hakan Ozturk Abdulhalim Akkaya

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