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Neural Computing and Applications

, Volume 31, Supplement 2, pp 751–757 | Cite as

Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming

  • Ali NazariEmail author
Original Article
  • 220 Downloads

Abstract

In the present work, total specific pore volume of inorganic polymers (geopolymers) made from seeded fly ash and rice husk–bark ash has been predicted by gene expression programming. To build the model, training and testing using experimental results from 120 specimens were conducted. The values for input layers were the percentage of fine fly ash in the ashes mixture, the percentage of coarse fly ash in the ashes mixture, the percentage of fine rice husk–bark ash in the ashes mixture, the percentage of coarse rice husk–bark ash in the ashes mixture, the temperature of curing, and the time of water curing. According to the input parameters, in the gene expression programming models, the pore volume of each specimen was predicted. The training and testing results in the gene expression programming models have shown a strong potential for predicting the total specific pore volume of the geopolymer specimens.

Keywords

Geopolymer Composites Porosity Structural applications 

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Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.Department of Materials Science and Engineering, Saveh BranchIslamic Azad UniversitySavehIran

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