Modeling mechanical performance of lightweight concrete containing silica fume exposed to high temperature using genetic programming

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@Article{Tanyildizi20102612,

• author = "Harun Tanyildizi and Abdulkadir Cevik",
• title = "Modeling mechanical performance of lightweight concrete containing silica fume exposed to high temperature using genetic programming",
• journal = "Construction and Building Materials",
• volume = "24",
• number = "12",
• pages = "2612--2618",
• year = "2010",
• note = "Special Issue on Fracture, Acoustic Emission and NDE in Concrete (KIFA-5)",
• ISSN = "0950-0618",
• DOI = "doi:10.1016/j.conbuildmat.2010.05.001",
• URL = "http://www.sciencedirect.com/science/article/B6V2G-509SDKG-1/2/f514159db9cb4d6dce74ceab7beca37b",
• keywords = "genetic algorithms, genetic programming, Lightweight concrete, Silica fume, High temperature, Mechanical properties",
• abstract = "In this study, the mechanical performance of lightweight concrete exposed to high temperature has been modelled using genetic programming. The mixes incorporating 0%, 10%, 20% and 30% silica fumes were prepared. Two different cement contents (400 and 500 kg/m3) were used in this study. After being heated to temperatures of 20 degree Celsius, 200 degree C, 400 degree C and 800 degree C, respectively, the compressive and splitting tensile strength of lightweight concrete was tested. Empirical genetic programming based equations for compressive and splitting tensile strength were obtained in terms of temperature (T), cement content (C), silica fume content (SF), pumice aggregate content (A), water/cement ratio (W/C) and super plasticizer content (SP). Proposed genetic programming based equations are observed to be quite accurate as compared to experimental results.",

}

Genetic Programming entries for Harun Tanyildizi Abdulkadir Cevik

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