Issue |
E3S Web Conf.
Volume 457, 2023
International Scientific and Practical Symposium “The Future of the Construction Industry: Challenges and Development Prospects” (FCI-2023)
|
|
---|---|---|
Article Number | 01008 | |
Number of page(s) | 4 | |
Section | Modern Building Materials | |
DOI | https://doi.org/10.1051/e3sconf/202345701008 | |
Published online | 05 December 2023 |
Mechanization and automation of the process of making concrete mixes
Moscow State University of Civil Engineering, 26, Yaroslavskoye shosse, Moscow, 129337, Russia
1 Corresponding author: kaitukovba@mgsu.ru
The article addresses the problem of the quality improvement in respect of the concrete mix preparation in the context of intensive mechanization and automation. The co-authors suggest new processes to improve the performance reliability of the operating element of a mixer through the improvement of the wear resistance of its blades. The build-up of the wear-proof layer has boosted the durability of the components of the operating element of a mixer. The logical relationship between the mechanized and automated operations enabled the co-authors to adjust the optimal composition of the concrete mix. The use of composition adjusting devices, operating in the automatic mode, has substantially optimized the process of batching the mix components and the water content in the concrete mix. The co-authors provide a diagram describing the dependence between the mean square value of the outgoing signal of vibration acceleration and the mixing time until the mix is ready. The co-authors have identified that the higher the moisture content, the smaller the mixing time, and, hence, the higher the capacity of a mixer. A hybrid approach to the mix quality improvement has also reduced the operating expenses.
Key words: concrete mixing machine / concrete mix / concrete / mix quality / batching of ingredients / adjustment / batching / grades of concrete / operating expenses
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.