Figure - available from: Asian Journal of Civil Engineering
This content is subject to copyright. Terms and conditions apply.
Source publication
There is a new area of research emerging around the usage of micro-silica in concrete, and it has the potential to influence all other fields. There are several different definitions of micro-silica research that have been presented by researchers. Due to the small size of its particles, micro-silica may be useful in building restoration. It improv...
Citations
... (iv) Accelerated hydration (AH): Nano-silica particles can act as nucleation sites for early-stage cement hydration in mortar. This accelerates the formation of C-S-H gel, leading to faster strength development and higher early-age compressive strength (Parashar & Gupta, 2023;Parhi & Panigrahi, 2023). Importantly, the effectiveness of nano-silica in enhancing the compressive strength of mortar can depend on factors such as the dosage of nano-silica, the water-to-cement ratio, the type and dosage of other admixtures, the curing conditions, and the specific characteristics of the cement used. ...
... The average error % of total dataset is 5% and the (R 2 ) value is (0.980). Figure 8 shows the relation between predicted and measured UCS values using the developed models, and the relative importance values for each input parameter are illustrated in Fig. 9, which indicated that all factors have significant impacts on UCS, but C, FAg, and W) have more influence than other inputs. However, the NS precursor with a 17% degree of importance plays a substantial influence with the cement due to its contribution to the pozzolanic reaction to produce C-S-H gel in concrete (Onyelowe & Kontoni, 2023;Onyelowe et al., 2021a;Parashar & Gupta, 2023). Figure 10 compares the accuracies of the developed models using Taylor charts, and Fig. 11 shows the variance distribution for the developed models. ...
Sustainable building construction requirements demand an efficient utilization of industrial waste as alternatives to construction materials. In this work, the Nano-silica (NS) has been used as a precursor to the compressive strength of mortar and multiple mixes of 107 were produced to study the effect of the Nano-silica precursor (NSP). Advanced Machine Learning (AML) techniques have been used in this research work to predict the compressive strength of the NSP mortar using 75% to 25% ratio to train and validate the models. The NS precursor with a 17% degree of importance played a substantial influence with the cement due to its contribution to the pozzolanic reaction to produce C-S-H gel in mortar. The accuracies of the developed models were compared using Taylor charts, and also, the variance distribution for the developed models was conducted. The models’ performance indices; mean average error (MAE), mean squared error (MSE), root mean square error (RMSE), sum of squared error (SSE), and the coefficient of determination (R2) were used to decide the superior model. At the end of the exercise, it has been shown that the GP model showed a poorly performed model with outliers from the NS precursor mortar UCS data entries outside the ±25% envelop. The parametric line fit of the GP is y = 0.973x, which produced MAE of 5.62MPa, MSE of 46.71MPa, RMSE of 6.83MPa and R2 of 0.680. Also, the EPR model showed a parametric line fit of y = 0.983x, which produced MAE of 4.10MPa, MSE of 29.67MPa, RMSE of 5.45MPa and R2 of 0.823, while the most superior model was produced by the ANN with a parametric line fit of 0.997x, which produced MAE of 1.47MPa, MSE of 3.84MPa, RMSE of 1.96MPa and R2 of 0.980. The outperformance of the ANN over the other AI techniques is supported by previous research work even though the ANN didn’t produce a closed-form parametric expression that allows a manual application of the model in the design and construction of buildings with mortar under NS precursor effect. Generally, the NSP has shown a reliable potential to improve the hardened strength of mortar, which confirms its application in the built environment as a sustainable pozzolanic construction material.
The existence of voids in concrete mix may result in deterioration in its quality when subjected to considerable settling and shrinkage. This research aims to improve the qualities of concrete by using microorganisms to reduce the presence of voids. The Bacillus bacteria family has been shown to have extraordinary healing properties for concrete. The current study used a bacterial solution of Bacillus megaterium from the Bacillus bacteria family at concentrations of 10³, 10⁵, and 10⁷ CFU. A total 135 number of specimens were made and also tested for durability and strength at one, four, and eight weeks. The results of the test show that flexural, compressive and split tensile strength increased by 8.83%, 10.10%, and 12.45% MPa after 8 weeks of testing at a bacterium 10⁵ cells/ml concentration. The value of absorption of water employing bacteria in concrete mix was found to be lower than that of ordinary concrete mixture. The cracks in the concrete are filled as a result of calcite precipitation generated by the bacterial solution of Bacillus megaterium. The R² value of the regression study between compressive and water absorption was 0.6222, while the R² value between compressive strength and UPV was 0.4967. The study also included a cluster analysis of water absorption and compressive strength.
This study is focused on the behavior of re-entrant corners with different angles on Y-shaped high-rise building with G + 15 floors under seismic loading using dynamic analysis (response spectrum analysis). Unfortunately, India is the most populous country today. The main reason for adopting this building Y-shaped can provide several advantages over traditional rectangular or square buildings, increased natural light and ventilation, and dynamic and interesting designs. The objective of the current analytical study is to determine the certain parameters affect the behavior of a structure with re-entrant corners with different angles in a Y-shape. The aspect of different performances of a building with different angle limb Y-shape under seismic forces is described in this work, specifically for different angle Y-shaped building structures. In this paper, a fifteen-story building in RC -a frame structure for the IV zone is studied. The eight models of the fifteen-story RC -frame building was created with different angles 30°, 45°, 60°, 75°, 90°, 120°, 135°, and 150°. The bare frame model, the infill and eight versions of the infilled frame were studied, each with different angles (one angle at a time from bottom to top). The ETABs computer application is utilized for the comprehensive modeling of the complete building. The analytical results are analyzed in relation to base shear, lateral displacement, lateral forces, maximum bending moment, storey disbarment, and storey drift. The best fitting curve is plotted using important data.
Buildings with shear walls are much less likely to sway in the direction of their orientation, reducing the likelihood of structural damage. In addition to providing lateral stiffness, shear walls also prevent roof or floor wobbling. If walls are strategically placed within a structure, they may be able to withstand the lateral forces caused by wind and earthquakes. The investigation of the effects of various floor area ratios on shear walls in a building with an irregular shape is explained in the paper. The primary concern is torsion formation in a structure with an irregular layout. In an irregularly shaped building, the floor area (F/A) ratio of the shear wall is discussed in this essay along with its causes, effects, and potential solutions. In Seismic Zone III, a U-shaped building with 15 stories and medium soil conditions is the subject of the study. Its damping value is 5%. CSI ETABS ver. 19 will be used to accomplish the modeling and analysis. The study will conclude by highlighting the rationale behind selecting a certain test model that demonstrates the lowest levels of story drift, time period, story displacement and base shear. This test model has a varied percent shear wall (impact of a variable floor area ratio of shear wall).
