• 제목/요약/키워드: Blast furnace slag sand

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Predictive modeling of the compressive strength of bacteria-incorporated geopolymer concrete using a gene expression programming approach

  • Mansouri, Iman;Ostovari, Mobin;Awoyera, Paul O.;Hu, Jong Wan
    • Computers and Concrete
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    • 제27권4호
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    • pp.319-332
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    • 2021
  • The performance of gene expression programming (GEP) in predicting the compressive strength of bacteria-incorporated geopolymer concrete (GPC) was examined in this study. Ground-granulated blast-furnace slag (GGBS), new bacterial strains, fly ash (FA), silica fume (SF), metakaolin (MK), and manufactured sand were used as ingredients in the concrete mixture. For the geopolymer preparation, an 8 M sodium hydroxide (NaOH) solution was used, and the ambient curing temperature (28℃) was maintained for all mixtures. The ratio of sodium silicate (Na2SiO3) to NaOH was 2.33, and the ratio of alkaline liquid to binder was 0.35. Based on experimental data collected from the literature, an evolutionary-based algorithm (GEP) was proposed to develop new predictive models for estimating the compressive strength of GPC containing bacteria. Data were classified into training and testing sets to obtain a closed-form solution using GEP. Independent variables for the model were the constituent materials of GPC, such as FA, MK, SF, and Bacillus bacteria. A total of six GEP formulations were developed for predicting the compressive strength of bacteria-incorporated GPC obtained at 1, 3, 7, 28, 56, and 90 days of curing. 80% and 20% of the data were used for training and testing the models, respectively. R2 values in the range of 0.9747 and 0.9950 (including train and test dataset) were obtained for the concrete samples, which showed that GEP can be used to predict the compressive strength of GPC containing bacteria with minimal error. Moreover, the GEP models were in good agreement with the experimental datasets and were robust and reliable. The models developed could serve as a tool for concrete constructors using geopolymers within the framework of this research.

등가균열폭에 기반한 자기치유 재료의 치유성능 평가 방법 (Evaluation Method of Healing Performance of Self-Healing Materials Based on Equivalent Crack Width)

  • 이웅종;김형석;최성;박병선;이광명
    • 한국건설순환자원학회논문집
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    • 제9권3호
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    • pp.383-388
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    • 2021
  • 본 연구에서는 정수위 투수시험을 통하여 무기계 치유소재를 사용한 자기치유 모르타르의 치유성능을 평가하였다. 자기치유 모르타르의 제조를 위해 무기계 소재로 고로슬래그 미분말, 황산나트륨, 무수석고를 사용하였으며, 시멘트 클링커 분말과 클링커 잔골재를 시멘트와 잔골재를 각각 대체하여 사용하였다. 정수위 투수시험을 수행하여 균열폭과 치유재령 경과에 따른 단위유출 수량을 측정하였다. 자기치유 모르타르의 치유성능평가 결과 Plain 모르타르와 비교하여 치유재령 28일에서 초기 균열폭이 0.3mm인 경우 치유율이 30%p 이상 증가하여 치유성능이 크게 증진된 것을 확인하였다. 또한, 투수시험결과로부터 얻은 상수(α)를 이용하여 치유재령 경과에 따른 등가균열폭을 산출하였으며, 등가균열폭과 치유율의 상관관계 분석을 통해 치유 목표균열폭을 만족하기 위한 초기 균열폭과 도달시기를 예측하였다.