
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103751 - 103751
Published: Dec. 1, 2024
Language: Английский
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103751 - 103751
Published: Dec. 1, 2024
Language: Английский
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103758 - 103758
Published: Dec. 1, 2024
Language: Английский
Citations
4Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04335 - e04335
Published: Feb. 1, 2025
Language: Английский
Citations
0One Earth, Journal Year: 2025, Volume and Issue: 8(2), P. 101199 - 101199
Published: Feb. 1, 2025
Language: Английский
Citations
0Materials Today Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 101120 - 101120
Published: April 1, 2025
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105093 - 105093
Published: April 1, 2025
Language: Английский
Citations
0Journal of Composites Science, Journal Year: 2025, Volume and Issue: 9(5), P. 216 - 216
Published: April 29, 2025
This experimental study produced recycled sand–silica fume–hair fiber concrete to enhance sustainability. Recycled sand and silica fume can be used address the environmental issues caused by excessive river mining carbon footprint of industry. In addition, waste hair fibers (0.5–2%) were introduced properties newly developed mixes. The absolute volume method was employed for four sustainable A 100 mm slump set as a structural requirement, which maintained adding 0.5%, 1%, 1.4%, 1.9%, 2.6% admixture weight cement proposed compressive strength, splitting tensile density hardened mixtures estimated. results show that combining optimized 10% with 0.5–2% enhanced threshold met when 1.5% mixed fume, 50% manufactured sand, sand. However, strengths mixes 2.0% found almost same at 5.62 MPa 5.65 MPa, respectively. bulk increased increasing percentages fibers. Furthermore, in fibers, very similar 2.708 g/cm3 2.792 g/cm3, Thus, it concluded from containing optimal is acceptable concrete.
Language: Английский
Citations
0Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 103108 - 103108
Published: Oct. 1, 2024
Language: Английский
Citations
3Materials, Journal Year: 2024, Volume and Issue: 17(18), P. 4504 - 4504
Published: Sept. 13, 2024
Biomass bottom ash (BBA) is a by-product of the energy industry and produced from biomass-fired thermal power plants. They represent coarsest fraction recovered are mostly landfilled. Several researchers have investigated feasibility use BBA as replacement for natural aggregates in cementitious material. The utilisation manufacturing concrete provides an economic ecological way to upcycle it. At same time, its conserves resources promotes sustainability. This review article first presents chemical, mineralogical physical properties BBA, highlight possible effects on materials interest valorising them building Secondly, focus incorporated place used concrete. investigates multi-physical manufactured with partial incorporation BBA. substitution leads decreased workability, which can be limited by admixtures. In hardened state, reduction mechanical shown replacement. However, many experimental works show that appropriate proportions maintain specified
Language: Английский
Citations
2Buildings, Journal Year: 2024, Volume and Issue: 14(9), P. 2952 - 2952
Published: Sept. 19, 2024
In this study, experiments were conducted on the freeze–thaw performance of manufactured sand cement concrete with different ratios and fly ash contents. The research found that during 200 cycles, as content increased, exhibited a higher mass loss rate decline in relative dynamic modulus elasticity. This was due to lower activity SiO2 Al2O3 ash, which reduced hydration products. Incorporating an optimal amount can increase density concrete, thereby improving its resistance cycles. However, when high, large surface area could interfere process reduce strength, diminishing concrete. Given studying is time-consuming influenced by many factors, prediction model based BP (back propagation) neural network developed estimate elasticity following After validation, be highly reliable serve foundation for mix design decisions
Language: Английский
Citations
2