Estimating strength properties of geopolymer self-compacting concrete using machine learning techniques

@article{Awoyera2020EstimatingSP,
  title={Estimating strength properties of geopolymer self-compacting concrete using machine learning techniques},
  author={P. Awoyera and Mehmet S. Kirgiz and A. Viloria and D. Ovallos-Gazabon},
  journal={Journal of materials research and technology},
  year={2020},
  volume={9},
  pages={9016-9028}
}
Abstract There has been a persistent drive for sustainable development in the concrete industry. While there are series of encouraging experimental research outputs, yet the research field requires a standard framework for the material development. In this study, the strength characteristics of geopolymer self-compacting concrete made by addition of mineral admixtures, have been modelled with both genetic programming (GEP) and the artificial neural networks (ANN) techniques. The study adopts a… Expand
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