RETRACTED ARTICLE: Prediction compressive strength of Portland cement-based geopolymers by artificial neural networks

Abstract

In the present study, compressive strength results of geopolymers produced by ordinary Portland cement (OPC) as aluminosilicate source have been modeled by artificial neural networks. Six main factors including NaOH concentration, water glass to NaOH weight ratio, alkali activator to cement weight ratio, oven curing temperature, oven curing time and water curing regime each at 4 levels were considered for designing. A total of 32 experiments were conducted according to the L32 array proposed by the method. The neural network models were constructed by 10 input parameters including NaOH concentration, water glass to NaOH weight ratio, alkali activator to cement weight ratio, oven curing temperature, oven curing time, water curing regime, water glass content, NaOH content, Portland cement content and test trial number. The value for the output layer was the compressive strength. According to the input parameters in feed-forward back-propagation algorithm, the constructed networks were trained, validated and tested. The results indicate that artificial neural networks model is a powerful tool for predicting the compressive strength of the geopolymers in the considered range.

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Change history

  • 18 June 2020

    The Editor-in-Chief has retracted this article [1] because it significantly overlaps with a number of articles including those that were under consideration at the same time [2, 3] and previously published articles [4-6]. Additionally, the article shows evidence of peer review manipulation. The authors have not responded to any correspondence regarding this retraction.

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Correspondence to Ali Nazari.

Additional information

The Editor-in-Chief has retracted this article because it significantly overlaps with a number of articles including those that were under consideration at the same time and previously published articles. Additionally, the article shows evidence of peer review manipulation. The authors have not responded to any correspondence regarding this retraction.

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Nazari, A., Hajiallahyari, H., Rahimi, A. et al. RETRACTED ARTICLE: Prediction compressive strength of Portland cement-based geopolymers by artificial neural networks. Neural Comput & Applic 31, 733–741 (2019). https://doi.org/10.1007/s00521-012-1082-3

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Keywords

  • Artificial neural networks
  • Geopolymer
  • Portland cement
  • Compressive strength