Functional Method of Designing Self-Compacting Concrete

Abstract

The article presents a new functional method of designing self-compacting concrete (SCC). The assumptions of the functional method of designing self-compacting concrete were based on the double coating assumption (i.e., it was assumed that the grains of coarse aggregate were coated with a layer of cement mortar, whereas the grains of sand with cement paste). The proposed method is composed of four stages, each of which is responsible for the selection of a different component of the concrete mix. The proposed designing procedure takes into consideration such a selection of the mineral skeleton in terms of the volumetric saturation of the mineral skeleton, which prevents the blocking of aggregate grains, and the designed liquid phase demonstrated high structural viscosity and low yield stress. The performed experimental studies, the simulation of the elaborated mathematical model fully allowed for the verification of the theoretical assumptions that are the basis for the development of the method of designing self-compacting concrete.

An Eco-Friendly and Innovative Approach in Building Engineering: The Production of Cement–Glass Composite Bricks with Recycled Polymeric Reinforcements

“…It comprised tap water, fine glass powder waste (particle size below 0.1 mm), and waste glass aggregate (particle size ranging from 0.1 mm to 0.2 mm). To demonstrate the appropriate aggregate matching, a curve was established for the glass sand with defined lower and upper bounds [22,23], as shown in Figure 2. With a maximum size of 2 mm for the glass cullet, the curve aligns within this range, indicating a compacted aggregate stack.…”

“…In terms of specific heat, the value was 1.36 ± 0.01 MJ/m 3 K, representing a decrease of about 17% compared to the mortar. It is worth noting that the samples tested by Małek in [22] exhibited inferior thermal properties, while the samples tested by the authors in [23] had the same thermal conductivity value, a lower thermal diffusivity (8%), and a higher specific heat (4%).…”

The Influence of the Type of Cement on the Properties of Surface Cement Concrete

“…An additional argument that strengthens the use of multi-component binders in the infrastructure of cements is a significant reduction in the possibility of an alkaline reaction in concrete. By analyzing the literature, one can see the works on the use of processed mineral waste or industrial waste [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ]. A very important element of increasing the durability of concrete is to obtain the proper aeration structure through the use of air-entraining admixtures [ 27 , 28 , 29 , 30 ].…”

Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder

“…To overcome the disadvantages mentioned above, modelling methods based on machine learning algorithms are used more frequently to address various engineering problems (e.g., the prediction of the compressive strength 12 , adhesion between cementitious composite layers 13 , soil compression coefficient 14 , soil erosion susceptibility 15 , and axial compression capacity 16 and the design of concrete mixtures 17 ). Such modelling, using machine learning, consists of 5 steps: problem definition, data collection, modelling, evaluation and result analysis 18 .…”