efficiency indicators

The article presents research results on the influence of technological parameters on the technical and environmental characteristics of low-carbon ready-mix concretes. The study examines the impact of aggregate gradation, cement content, lignosulfonate or polycarboxylate modifiers, and wet fly ash additives on concrete properties. The research demonstrates that clinker- and CO2-intensity indicators collectively determine the clinker efficiency of concrete.

The study is devoted to the process of evaluating the efficiency of the transport system in terms of urban mobility. The approach is based on the use of a system of performance indicators using neurocomputer technologies. Generalized models for obtaining a vector of performance indicators and an integral performance indicator in the form of computer neural networks are proposed. It is shown that to record the fact that the indicator values fall to the threshold and below, it is enough to use a neural network built on perceptron neurons.