Numerical modeling of concrete strength under multiaxial confinement pressures using linear genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Babanajad:2013:AiC,
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author = "Saeed K. Babanajad and Amir H. Gandomi and
Danial {Mohammadzadeh S.} and Amir H. Alavi",
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title = "Numerical modeling of concrete strength under
multiaxial confinement pressures using linear genetic
programming",
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journal = "Automation in Construction",
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year = "2013",
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volume = "36",
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pages = "136--144",
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month = dec,
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keywords = "genetic algorithms, genetic programming, Discipulus,
Multiaxial compression, Compressive strength, Ultimate
strength, Linear genetic programming",
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ISSN = "0926-5805",
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URL = "http://www.sciencedirect.com/science/article/pii/S0926580513001301",
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DOI = "doi:10.1016/j.autcon.2013.08.016",
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size = "9 pages",
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abstract = "New numerical models are developed to predict the
strength of concrete under multi-axial compression
using linear genetic programming (LGP). The models are
established based on a comprehensive database obtained
from the literature. To verify the applicability of the
derived models, they are employed to estimate the
strength of parts of the test results that are not
included in the modelling process. The external
validation of the model is further verified using
several statistical criteria. The results obtained by
the proposed models are much better than those provided
by several models found in the literature. The
LGP-based equations are remarkably straightforward and
useful for pre-design applications.",
- }
Genetic Programming entries for
Saeed K Babanajad
A H Gandomi
D Mohammadzadeh Shadmehri
A H Alavi
Citations