Numerical modeling of concrete strength under multiaxial confinement pressures using linear genetic programming

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@Article{Babanajad:2013:AiC,

• author = "Saeed K. Babanajad and Amir H. Gandomi and Danial {Mohammadzadeh S.} and Amir H. Alavi",
• title = "Numerical modeling of concrete strength under multiaxial confinement pressures using linear genetic programming",
• journal = "Automation in Construction",
• year = "2013",
• volume = "36",
• pages = "136--144",
• month = dec,
• keywords = "genetic algorithms, genetic programming, Discipulus, Multiaxial compression, Compressive strength, Ultimate strength, Linear genetic programming",
• ISSN = "0926-5805",
• URL = "http://www.sciencedirect.com/science/article/pii/S0926580513001301",
• DOI = "doi:10.1016/j.autcon.2013.08.016",
• size = "9 pages",
• 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