Results in Engineering, Год журнала: 2024, Номер unknown, С. 103751 - 103751
Опубликована: Дек. 1, 2024
Язык: Английский
Materials, Год журнала: 2025, Номер 18(10), С. 2371 - 2371
Опубликована: Май 20, 2025
This study investigates the flexural performance of desert sand concrete-filled steel tube (DS-CFST) members through experimental validation and finite element modeling (FEM). An extensive database square circular CFST specimens subjected to pure bending was analyzed validate an ABAQUS-based FEM. Parametric studies evaluated influence yield strength, ratio, stirrup confinement, replacement ratio (r) on ultimate moment, stiffness, failure modes. The results indicated that strength section geometry significantly affected capacity, while substitution (r ≤ 1) had a negligible impact reducing it by less than 3%. FEM accurately predicted buckling patterns, moment-curvature relationships, New design formulas for predicting moment stiffness were proposed, demonstrating superior accuracy (mean error < 1%) compared existing codes (AIJ, AISC, GB). highlights DS-CFST members, particularly sections, offer robust performance, with enhanced ductility uniform stress distribution. findings underscore potential using as sustainable material in structures without compromising structural integrity.
Язык: Английский
Процитировано
0
Journal of Composites Science, Год журнала: 2025, Номер 9(6), С. 279 - 279
Опубликована: Май 30, 2025
Natural sand and high OPC utilization in the concrete industry have affected our environment caused climate change. This study developed a novel methodology to prepare modified by adding (50% R-Sand + 50% M-Sand) replace 100% natural sand. The two SCMs (5–20% of FA) 10% optimized SF were added four newly mixes. sustainable design mix achieved target strength after curing period 28 days. findings for flexural showed comparable trends. Significant improvement was also seen at later ages, till 182 water absorption sulfuric acid attacks hardened stage measured. analysis reveals that percentages tend decline as age progresses. mixes show better resistance against than reference NAC*. A mass loss around 5% discovered, much closer published studies. 15FASFRSC consistent results when combined with (15% FA SF). Hence, is best industry.
Язык: Английский
Процитировано
0
Materials, Год журнала: 2024, Номер 17(18), С. 4504 - 4504
Опубликована: Сен. 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
Язык: Английский
Процитировано
2
Buildings, Год журнала: 2024, Номер 14(9), С. 2952 - 2952
Опубликована: Сен. 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
Язык: Английский
Процитировано
2
Resources Conservation and Recycling, Год журнала: 2024, Номер 212, С. 108002 - 108002
Опубликована: Ноя. 12, 2024
Язык: Английский
Процитировано
2
Structures, Год журнала: 2024, Номер 71, С. 108059 - 108059
Опубликована: Дек. 17, 2024
Язык: Английский
Процитировано
2
Results in Engineering, Год журнала: 2024, Номер unknown, С. 102948 - 102948
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
1
Case Studies in Construction Materials, Год журнала: 2024, Номер unknown, С. e04059 - e04059
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
1
Journal of Building Engineering, Год журнала: 2024, Номер 99, С. 111551 - 111551
Опубликована: Дек. 9, 2024
Язык: Английский
Процитировано
1
Results in Engineering, Год журнала: 2024, Номер unknown, С. 103751 - 103751
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
0