Development of a predictive optimization model for the compressive strength of sodium activated fly ash based geopolymer pastes
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- @Article{Fillenwarth:2015:Fuel,
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author = "Brian A. Fillenwarth and Shankar M. L. Sastry",
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title = "Development of a predictive optimization model for the
compressive strength of sodium activated fly ash based
geopolymer pastes",
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journal = "Fuel",
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volume = "147",
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pages = "141--146",
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year = "2015",
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ISSN = "0016-2361",
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DOI = "doi:10.1016/j.fuel.2015.01.029",
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URL = "http://www.sciencedirect.com/science/article/pii/S0016236115000435",
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abstract = "As concerns about global CO2 emissions grow, there
exists a need for widespread commercialisation of lower
emission building materials such as geopolymers. The
commercialisation of geopolymers is currently impeded
by the high variability of the materials used for their
synthesis and limited knowledge of the
interrelationships between mix design variables. To
overcome these barriers, this work demonstrates a
relationship between the compressive strength and the
chemical design variables derived from experimental
data using genetic programming. The developed model
indicates the main chemical factors responsible for the
compressive strength of sodium activated geopolymers
are the contents of Na2O, reactive SiO2, and H2O. The
contents of reactive Al2O3 and CaO were found to not
have a significant impact on the compressive strength.
The optimisation model is shown to predict the
compressive strength of fully cured sodium activated
fly ash based geopolymer pastes from their chemical
composition to within 6.60 MPa.",
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keywords = "genetic algorithms, genetic programming, Alkali
activated cement, Geopolymer paste, Compressive
strength, Fly ash, Predictive optimisation model",
- }
Genetic Programming entries for
Brian A Fillenwarth
Shankar M L Sastry
Citations