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This paper focuses on the optimum design of low-binder Self-Compacting Concrete (SCC) based on particle packing theories.
An ecological UHPC mixture was developed by Fennis et al. (2009) based on particle packing technology, which reduced the cement content by 50%%.
The proportioning of the mixes was based on particle packing, which integrates both aggregate packing and void volume for a mix of aggregates.
To maintain the ecological sustainability of SCC, this research recommends a sustainable mix design method for SCC with a low binder content based on particle packing theory.
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The SCHUPFRC skeleton is designed based on particle densely packing model, and different proportions of silica fume (SF) and metakaolin (MK) are employed to generate compounded high-active powders.
Based on particle pollution stats, Philadelphia is the 11th worst location in the nation.
A model of porous composite microstructures for solid oxide fuel cell (SOFC) anodes, based on spherical particle packing, was numerically studied by means of the three-dimensional particle element method (PEM), which is a discrete element method.
In this study, a new procedure was employed to obtain the mix design based on the particle packing (PP) concept to ensure the fresh and hardened properties of SCC are achieved.
These data were used for the two proposed methods based on particles' velocities and trajectories to assess mixing and segregation of a packed bed.
The effects of particle size distribution on particle packing and sintering are discussed, and the effect on viscosity modelled.
The initial study of mixtures composition was based on the Andreassen particle packing model, while the final mix design was determined via Box Behnken fractional factorial design of experiments, in combination with the response surface method.
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