“…A similar research work investigated the combined used of TiO 2 and NC in fly ash geopolymer concrete [89]. The main difference between this study and the previous one resides in the fact that lower percentages were used; only 1% NC and 1.25% TiO 2 , by mass of fly ash.…”
In the past decades, nanomaterials have become one of the focal points in civil engineering research. When added to cement-based construction materials (e.g., concrete), it results in significant improvements in their strength and other important properties. However, the final mix characteristics depend on many variables that must be taken into account. As such, there is no general consensus regarding the influence upon the original material of certain nano-sized additives, the optimum dosage or the synergistic effect of two or more nano-materials. This is also the case for titanium dioxide (TiO2) and nanoclay (NC). The paper focuses on reporting the existing research data on the use of the above-mentioned materials when added to mortar and concrete. The collected data is summarized and presented in terms of strength and durability properties of cement mortar and concrete containing either TiO2 or NC. Both nano-materials have been proven, by various studies, to increase the strength of the composite, at both room and elevated temperature, when added by themselves in 0.5%~12% for TiO2 and 0.25%~6% for NC. It can be inferred that a combination of the two with the cementitious matrix can be beneficial and may lead to obtaining a new material with improved strength, elastic and durability properties that can be applied in the construction industry, with implications at the economic, social and environmental levels.
“…A similar research work investigated the combined used of TiO 2 and NC in fly ash geopolymer concrete [89]. The main difference between this study and the previous one resides in the fact that lower percentages were used; only 1% NC and 1.25% TiO 2 , by mass of fly ash.…”
In the past decades, nanomaterials have become one of the focal points in civil engineering research. When added to cement-based construction materials (e.g., concrete), it results in significant improvements in their strength and other important properties. However, the final mix characteristics depend on many variables that must be taken into account. As such, there is no general consensus regarding the influence upon the original material of certain nano-sized additives, the optimum dosage or the synergistic effect of two or more nano-materials. This is also the case for titanium dioxide (TiO2) and nanoclay (NC). The paper focuses on reporting the existing research data on the use of the above-mentioned materials when added to mortar and concrete. The collected data is summarized and presented in terms of strength and durability properties of cement mortar and concrete containing either TiO2 or NC. Both nano-materials have been proven, by various studies, to increase the strength of the composite, at both room and elevated temperature, when added by themselves in 0.5%~12% for TiO2 and 0.25%~6% for NC. It can be inferred that a combination of the two with the cementitious matrix can be beneficial and may lead to obtaining a new material with improved strength, elastic and durability properties that can be applied in the construction industry, with implications at the economic, social and environmental levels.
“…Furthermore, it increased the density of GPC and reduced the pores [51]. Also, another study investigated the modified GPC with NS (0-2.5%) and Silica fume (SF) (0-2.5%) with FA (70%) and GGBS (30%) and obtained as 1.5% as the optimum of both NS and SF [50][51][52]. NS, micro silica, and alkali-activated slag-based GPC were examined and the addition of 3% NS improved the strength and reduced beyond this limit [53].…”
Section: Review On Literaturesmentioning
confidence: 99%
“…GPC developed from FA, nano-clay (NC), and NT enhanced strength at 1% of NC and 1.25% of NT. Furthermore, it increased the density of GPC and reduced the pores [51]. Also, another study investigated the modified GPC with NS (0-2.5%) and Silica fume (SF) (0-2.5%) with FA (70%) and GGBS (30%) and obtained as 1.5% as the optimum of both NS and SF [50][51][52].…”
In this study, Geopolymer concrete (GPC) blended with fly ash (FA), ground granulated blast furnace slag (GGBS), rice husk ash (RHA), and nano-silica (NS) developed and investigated in three aspects: In the first aspect of GPC (FA+GGBS), FA varied from 0-100% of GGBS at 10 % intervals to determine the optimum proportion of FA-GGBS. In the second aspect of GPC (FA+GGBS+RHA), RHA varied from 0-25% of FA at 5% intervals with a constant of 30% GGBS attained from the first aspect of the study. In the third aspect of GPC (FA+GGBS+RHA+NS), NS was replaced with 1, 3, and 5% with the optimum proportions of GGBS (30%) and RHA (15%) obtained from the first and second aspects of the study. The fresh and hardened properties of GPC were obtained at 7 and 28 days under ambient curing. The compressive strength improved while FA was replaced by GGBS (0-100%) from 27.75 to 45 MPa. Meanwhile, workability has decreased to 0.81 from 0.97. Hence, the optimized proportion of FA and GGBS was obtained as 70:30 from the workability aspect. RHA replacement provided compressive strength increment up to 15% (39.5 MPa), but workability gradually decreased (0.92 to 0.84) from 0 to 25%. So, the optimum proportion of RHA was achieved by 15% from the second aspect. In the third aspect, the workability increased from 0.89 to 0.92 while NS replacement (0-3%) with FA. Also, compressive strength has improved from 39.52 to 41.95 MPa. Thus, the optimized NS proportion gained at 3% of NS. Overall, this study provides a view of industrial by-product utilization as part of GPC in optimal proportions.
“…The incorporation of FA and GGBS in making a gel-like structure making a geo-polymerization compound can give the utmost benefit in the cementitious composite matrix 10 . Thus, its incorporation in matrix not only gives desirable properties but will substantially reduce CO 2 emission by up to 25–45% 29 . Figure 1 Properties of GPC.…”
Geo-polymer concrete has a significant influence on the environmental condition and thus its use in the civil industry leads to a decrease in carbon dioxide (CO2) emission. However, problems lie with its mixed design and casting in the field. This study utilizes supervised artificial-based machine learning algorithms (MLAs) to anticipate the mechanical characteristic of fly ash/slag-based geopolymer concrete (FASBGPC) by utilizing AdaBoost and Bagging on MLPNN to make an ensemble model with 156 data points. The data consist of GGBS (kg/m3), Alkaline activator (kg/m3), Fly ash (kg/m3), SP dosage (kg/m3), NaOH Molarity, Aggregate (kg/m3), Temperature (°C) and compressive strength as output parameter. Python programming is utilized in Anaconda Navigator using Spyder version 5.0 to predict the mechanical response. Statistical measures and validation of data are done by splitting the dataset into 80/20 percent and K-Fold CV is employed to check the accurateness of the model by using MAE, RMSE, and R2. Statistical analysis relies on errors, and tests against external indicators help determine how well models function in terms of robustness. The most important factor in compressive strength measurements is examined using permutation characteristics. The result reveals that ANN with AdaBoost is outclassed by giving maximum enhancement with R2 = 0.914 and shows the least error with statistical and external validations. Shapley analysis shows that GGBS, NaOH Molarity, and temperature are the most influential parameter that has significant content in making FASBGPC. Thus, ensemble methods are suitable for constructing prediction models because of their strong and reliable performance. Furthermore, the graphical user interface (GUI) is generated through the process of training a model that forecasts the desired outcome values when the corresponding inputs are provided. It streamlines the process and provides a useful tool for applying the model's abilities in the field of civil engineering.
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