Computers and Concrete

  • 제10권1호
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  • Pages.49-57
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  • 2012
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Modeling the compressive strength of cement mortar nano-composites

  • Alavi, Reza (Doust Construction Engineering Group Co.) ;
  • Mirzadeh, Hamed (Department of Materials Engineering, Isfahan University of Technology)
  • 투고 : 2011.09.09
  • 심사 : 2111.11.05
  • 발행 : 2012.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

Nano-particle-reinforced cement mortars have been the basis of research in recent years and a significant growth is expected in the future. Therefore, optimization and quantification of the effect of processing parameters and mixture ingredients on the performance of cement mortars are quite important. In this work, the effects of nano-silica, water/binder ratio, sand/binder ratio and aging (curing) time on the compressive strength of cement mortars were modeled by means of artificial neural network (ANN). The developed model can be conveniently used as a rough estimate at the stage of mix design in order to produce high quality and economical cement mortars.

키워드

참고문헌

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피인용 문헌

  1. Compressive strength prediction of nano-silica incorporated cement systems based on a multiscale approach vol.115, 2017, https://doi.org/10.1016/j.matdes.2016.11.058
  2. The use of artificial neural networks in predicting ASR of concrete containing nano-silica vol.13, pp.6, 2014, https://doi.org/10.12989/cac.2014.13.6.739