Pozzolanic Properties of Agro Waste Ashes for Potential Cement Replacement Predicted using ANN
01 Dec 2020-Vol. 1716, Iss: 1, pp 012018
About: The article was published on 2020-12-01 and is currently open access. It has received 5 citations till now. The article focuses on the topics: Pozzolan & Cement.
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18 citations
TL;DR: In this paper , an Artificial Neural Network (ANN) framework was developed to assess the workability and mechanical properties of ternary blended geopolymer binder employing WGP replacement levels and varying concentrations of sodium hydroxide solution as input parameters.
17 citations
TL;DR: In this article , an artificial neural network (ANN) was proposed to forecast the mechanical and durability properties of fiber reinforced fly ash-RHA blended geopolymer mortar, and the ANN architecture was constructed using the experimental results.
Abstract: Despite the growing environmental consequences of cement production, geopolymer concrete now has gradually evolved as an ecologically sustainable product. This study experimentally investigates the effect of addition of different proportions (0%, 10%, and 20%) of rice husk ash (RHA) and polypropylene (PP) fibers (0%, 0.1%, and 0.3%) on the mechanical and durability characteristics of fly ash (FA)-based geopolymer mortars. The strength property is assessed by testing the mortar specimen by uniaxial compressive strength and flexural strength while the durability properties were tested with water absorption, water sorptivity, and acid (10% concentration of H2SO4) resistance tests. The experimental findings revealed that the PP fiber addition is not significant in improving the compressive strength, while the addition up to 0.3% by volume had shown good improvement in flexural behavior. Water absorption increases with an increment in the replacement proportion of RHA. Water sorptivity also increases with an increase in RHA substitution levels. Furthermore, an artificial neural network prototype was proposed in this work to forecast the mechanical and durability properties of fiber reinforced FA-RHA blended geopolymer mortar. The ANN architecture was constructed utilizing the mechanical and durability characteristics of FA-RHA blended geopolymer mortar procured through experimental investigation. The RHA substitution proportion, sodium hydroxide (NaOH) liquid concentration, and polypropylene fiber content have been employed as input parameters in the construction of ANN framework. The predicted strength values of mechanical and durability tests achieved from the ANN framework agree well with experiment results. Use of geopolymer mortar has a high potential in repairing the structural elements, and further studies can be done on applying this mortar for the repairs.
4 citations
TL;DR: In this paper , the effects of using a combination of Ground Granulated Blast Slag (GGBS) and Hydrated Lime (HL) as alternative cement ingredients on the mechanical and microstructural properties of ternary mixed concrete (OPC)+GGBS+HL) were examined.
Abstract: This research examines the effects of using a combination of Ground Granulated Blast furnace Slag (GGBS) and Hydrated Lime (HL) as alternative cement ingredients on the mechanical and microstructural properties of ternary mixed concrete (Ordinary Portland Cement (OPC)+GGBS+HL). The OPC was replaced with GGBS in increments of 10% from 10% to 70%, while HL was substituted at levels ranging from 0% to 20% in increments of 10%. The results showed that the highest compressive strength (56.20 MPa), split tensile strength (4.25 MPa), and flexural strength (5.58 MPa) were observed for the ternary concrete mixture containing 60% OPC, 30% GGBS, and 10% HL with 0.36 water binder ratio after 28 days of curing.
TL;DR: In this paper , the authors investigated the impact of the addition of sulphonated naphthalene formaldehyde-based (SNF)-based (0.5, 0.6), 0.7%, and 0.8%) superplasticizers on the workability and compressive strength of Portland Pozzolana Cement (PPC) mortars.
Abstract: Portland Pozzolana Cement (PPC) mortars are predominantly employed in plastering works to achieve better workability, superior surface finish, and higher fineness to offer better cohesion with fine aggregates than the ordinary Portland cement (OPC) mortars. To achieve high performance in the cement mortar similar to cement concrete, the addition of a superplasticizer is recommended. The present study investigates the impact of addition of sulphonated naphthalene formaldehyde- (SNF)-based (0.5%, 0.6%, 0.7%, and 0.8%) and lignosulphate- (LS)-based (0.2%, 0.3%, 0.4%, and 0.5%) superplasticizers on the workability and compressive strength characteristics of PPC mortars. Plastering mortars of ratio 1 : 4 were prepared with natural sand and manufacturing sand (M sand) as fine aggregates. A flow table test was conducted on all the mortar mix proportions, and the effects of the inclusion of superplasticizers on flow properties were recorded at different time intervals (0, 30, 60, 90, and 120 minutes). PPC mortar cubes were prepared, cured, and examined to assess the inclusion of chemical admixtures on compressive strength at different ages (1, 3, 7, 14, and 28 days). The experimental findings from the workability and compressive strength of PPC mortars were analyzed, and the corresponding results were predicted using artificial intelligence. Experimental investigations demonstrated that the desired flow characteristics and higher compressive strength results were achieved from a 0.7% dosage of ligno-based superplasticizer. The predicted workability and compressive strength results at various ages acquired by implementing an Artificial Neural Network (ANN) were found to be in close agreement with the experimental results.
References
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TL;DR: In this paper, the authors compared the pozzolanic activity of metakaolin, silica fume, coal fly ash, incinerated sewage sludge ash and sand using the Frattini test, the saturated lime test and the strength activity index test.
Abstract: Assessment of the pozzolanic activity of cement replacement materials is increasingly important because of the need for more sustainable cementitious products. The pozzolanic activity of metakaolin, silica fume, coal fly ash, incinerated sewage sludge ash and sand have been compared using the Frattini test, the saturated lime test and the strength activity index test. There was significant correlation between the strength activity index test and the Frattini test results, but the results from these tests did not correlate with the saturated lime test results. The mass ratio of Ca(OH)2 to test pozzolan is an important parameter. In the Frattini test and strength activity index test the ratio is approximately 1:1, whereas in the saturated lime test the ratio is 0.15:1. This explains why the saturated lime test shows higher removal of Ca(OH)2 and why the results from this test do not correlate with the other test methods.
356 citations
TL;DR: The results showed that ANN can be an alternative approach for the predicting the compressive strength of ground granulated blast furnace slag concrete using concrete ingredients as input parameters.
249 citations
TL;DR: In this paper, the authors aim at predicting and modeling the 7, 28 and 56 days compressive strength of a concrete containing concrete's recycled coarse aggregates and that, for different range of cement content and slump.
168 citations
TL;DR: In this paper, a concrete mix proportion design algorithm based on a way from aggregates to paste, a least paste content, Modified Tourfar's Model and ANNs was proposed, which is expected to reduce the number of trial and error, save cost, laborers and time.
138 citations
TL;DR: In this article, a nonparametric approach called Artificial Neural Network (ANN) was used to predict effectively dimensional variations due to drying shrinkage, which used a multi layer back propagation.
104 citations