Influence of strength behavior in brick masonry prism and wallette under compression

Population growth and rapid pace of globalization have increased the demand for construction materials. River sand is one of the main materials used to make the fine aggregate for concrete. As a result, finding an alternative to sand has become crucial. Granite debris and M sand are employed in place of river sand in this experiment. In this experiment, granite debris as well as M sand are used in place for river sand. Concrete constructed using granite waste and alccofine was compared to ordinary concrete that had a 0.50 w/c ratio using the M25 mix design. 10% of alum is added to cement, and 0% to 30% of fine aggregate is replaced with granite waste enrich the physical properties by 23%, 9% and 41% in compressive, split tensile and flexural strength. The mechanical and microstructural characteristics are looked at in this investigation. According to the test results, concrete made with 10% alccofine, 15% granite waste, with 85% M sand performs satisfactorily. In addition, super plasticizers are acceptable in the M5 mix compared to the other mixes. The microscopic images show a densely packed cement matrix and the aggregate transition area, which points to strong bonding.

Section: Flexural Strength Testmentioning

confidence: 88%

Experimental investigation on granite waste and alccofine in concrete

Rajendran,

Kanagaraj

2023

“…The projected values from the ANFIS model built were very accurate. Furthermore, a comparison of the performance indices revealed that the ANFIS model performed somewhat better than the ANN model [48].…”

Section: Final Conclusionmentioning

confidence: 97%

Prediction of autoclaved aerated cement block masonry prism strength under compression using machine learning tools

Muthukumar,

Jegatheeswaran

2024

When the only information available is the issue parameters, and the intended outwards, machine learning techniques like ANN (Artificial Neural Networks) and ANFIS (Adaptive neuro-fuzzy inference system) been proven to address the complex problems without duplicating the phenomena under investigation. The main prompting characteristics are the height-to-the-thicknesses ratio of prisms and the strength under compression of prisms and mortar were analyzed. As inputs, the prototypes are used as blocks and mortars. Both prototypes were accomplished and evaluated. Thirty-six data sets were gathered for testing in addition to verified technical and subsequently comparison with other empirical computation methods served to validate. The outwards show that the suggested prototypes have good forecast capabilities with negligible error rates. To assess and compare the structural behavior of structural completion of AAC block with the other types. At last, both the machine learning tools are good application and dependability.

“…Attempts to compare and implement the flexural behavior of concrete with developed analytical model [24]. Natural fibre like sisal and nano tubes as nano composites additionally brick aggregates also have introduced to study the performance of concrete [25][26][27][28]. Addition of pine apple fibre with granite powder enhances the performance of workability and stability [29].…”

Section: Introductionmentioning

confidence: 99%

Investigating the properties of ternary-blended self-compacting concrete with fibre

Muthaiyan

2024

Self-Compacting Concrete (SCC) is the designation for concrete that flows under its own weight. By creating or introducing SCC, the flow ability of ordinary concrete can be enhanced. This study's primary focus is on the creation of SCC utilizing ternary blends of cementitious additives. Several tests were carried out to assess the SCC's mechanical, fresh, and durability characteristics. Energy Dispersive X-ray Analysis (EDAX) and Scanning Electron Microscope (SEM) were used to examine micro level characteristics. The mechanical and durability qualities of SCC have been improved by using a ternary blended SCC mix that contains seventy percentage of Ordinary Portland Cement, twenty percentage of Fly Ash, and ten percentage of Silica Fume. The workability of fresh concrete got reduced by increasing the fly ash, silica fume and glass fibre content that can be improved by adding super plasticizer. The strength and durability performance of hardened concrete were increases with increase in fly ash, silica fume and glass fibre in conventional concrete. The glass fiber reinforced SCC mixes with 0.4 and 0.6% of GF have a strong connection with the cement matrix, as shown by SEM pictures. As fiber dosage is increased, peak load of ternary mixed SCC increases significantly.