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 = "7987",

year = "2015",

ISSN = "09521976",

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, Momentcurvature, Reinforced
concrete, Eurocode8, TEC2007",

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 3D
building model. Moreover the results from GP based
formulation are compared with EC8 and TEC2007. 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
Citations