Evaluation of ultimate conditions of FRP-confined concrete columns using genetic programming

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@Article{Lim:2016:CS,

• author = "Jian C. Lim and Murat Karakus and Togay Ozbakkaloglu",
• title = "Evaluation of ultimate conditions of FRP-confined concrete columns using genetic programming",
• journal = "Computer \& Structures",
• volume = "162",
• pages = "28--37",
• year = "2016",
• ISSN = "0045-7949",
• DOI = "doi:10.1016/j.compstruc.2015.09.005",
• URL = "http://www.sciencedirect.com/science/article/pii/S0045794915002643",
• abstract = "A large database consisting of 832 axial compression tests results of fibre reinforced polymer (FRP)-confined concrete specimens was assembled. Using the test database, existing conventional and evolutionary algorithm models developed for FRP-confined concrete were then assessed. New genetic programming (GP) models for predicting the ultimate condition of FRP-confined concrete were developed. The predictions of the proposed models suggest that more accurate results can be achieved in explaining and formulating the ultimate condition of FRP-confined concretes by GP. The model assessment also illustrates the influences of the size of the databases and the selected parameters used in the GP models.",
• keywords = "genetic algorithms, genetic programming, Fiber reinforced polymer (FRP), Confinement, Concrete, Compressive strength, Ultimate axial strain",

}

Genetic Programming entries for Jian C Lim Murat Karakus Togay Ozbakkaloglu

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