Influence of the fine aggregate particle packing effects on the paste rheological thresholds of self-compacting concrete

Lv, Miao; An, Xuehui; Bai, Hao; Li, Pengfei; Zhang, Jingbin

doi:10.1016/j.conbuildmat.2023.132379

Cited by 7 publications

(1 citation statement)

References 44 publications

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“…Laboratory experiments by Yin et al [31] showed that the optimal volumetric steel fiber content of 2% can improve the packing density, raise the compressive strength of the concrete, and improve the microstructures. Research by Lv et al [32] on the influence of fine aggregate particle packing on the paste threshold of self-compacting concrete indicated that when the maximum packing density of the fine aggregates increases, the paste can reach high flow performance with less yield stress and viscosity, leading to lower rheological thresholds. More recently, Sun et al [33] developed a nonlinear packing model for porosity that can forecast the packing density of microaggregates and determined the correlation coefficients of the model based on granular soil, whereby the optimal parameter combinations were obtained through genetic algorithm inversion.…”

Section: Previous Studiesmentioning

confidence: 99%

Influence of Optimum Particle Packing on the Macro and Micro Properties of Sustainable Concrete

Abushama,

Tamimi,

Tabsh

et al. 2023

Sustainability

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In this research, the possibility of making eco-friendly concrete from available materials in the local United Arab Emirates (UAE) market was investigated. Supplementary cementitious materials, such as ground granulated blast-furnace slag (GGBS) and silica fume (SF), were utilized for decreasing the cement quantity, enhancing the particle size distribution and improving packing. In sum, 130 concrete specimens—cubes, cylinders, and prisms—from 10 different concrete mixes were tested to determine the enhancement levels in the fresh and hard properties of new concrete. The results showed the improved particle packing of the concrete, especially within the region of sizes 100–10,000 microns, produced by the Elkem Materials Mix Analyser (EMMA), closely matching the Andreassen theoretical model. The green concrete incorporating SF and GGBS possessed air content in the range 1.0–1.4% and compressive strength that is on average 11% higher than the well-packed concrete that did not contain SF or GGBS. Compared to the ACI 318 code’s predictions, the experimental findings of the optimally packed concrete’s moduli of rupture and elasticity were under-estimated by 55–69% and 0.8–8.8%, respectively. The rapid chloride permeability test (RCPT) showed results as low as 392 coulombs for mixes with supplementary cementitious materials, indicating very low chloride permeability. Microstructural analysis using a scanning electron microscope (SEM) demonstrated that concrete with supplementary materials has fewer voids, more homogeneous integration of ingredients, and an abundance of C-S-H products that supported the RCPT findings and tests of mechanical properties. The study demonstrated a significant decrease in carbon dioxide (CO2) emissions of concrete utilizing GGBS and SF and the financial feasibility of eco-friendly concrete in the UAE.

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Section: Previous Studiesmentioning

confidence: 99%

Influence of Optimum Particle Packing on the Macro and Micro Properties of Sustainable Concrete

Abushama,

Tamimi,

Tabsh

et al. 2023

Sustainability

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Incorporating sea sand into self-compacting concrete: a systematic review

Sindhurashmi,

Nayak,

Adesh

et al. 2024

Discov Appl Sci

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The increasing demand for river sand, driven by infrastructure development, poses environmental challenges. The study aims to address the depletion of river sand by integrating sea sand as a fine aggregate in the production of Self-Compacting Concrete (SCC) through a Systematic Literature Review. Furthermore, it includes an in-depth bibliographic analysis of relevant literature using VOSviewer to generate network visualizations of author-co-citation and country-wise citations. The article offers diverse options for sustainable solutions to mitigate environmental impacts while meeting infrastructure demands. It focuses on assessing the durability of SCC incorporating sea sand through real-time monitoring with the Internet of Things (IoT) and employing artificial intelligence methods like PointRend and neural networks to study the properties of SCC utilizing sea sand. Subsequently, the study emphasizes the need to address river sand shortages in infrastructure development and provides insights for further research on enhancing the properties of SCC with sea sand.

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Multi-objective optimization of cement-based systems containing marine dredged sediment

Heidari,

Rivard,

Wilson

2024

Construction and Building Materials

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Influence of the fine aggregate particle packing effects on the paste rheological thresholds of self-compacting concrete

Cited by 7 publications

References 44 publications

Influence of Optimum Particle Packing on the Macro and Micro Properties of Sustainable Concrete

Influence of Optimum Particle Packing on the Macro and Micro Properties of Sustainable Concrete

Incorporating sea sand into self-compacting concrete: a systematic review

Multi-objective optimization of cement-based systems containing marine dredged sediment

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