| Issue |
E3S Web Conf.
Volume 542, 2024
Green Horizon 2024: International Forum on Energy Management, Ecological Innovation, and Agro-Industrial Practices (YIFHG 2024)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 13 | |
| Section | Advancements in Renewable Energies and Efficiency Technologies | |
| DOI | https://doi.org/10.1051/e3sconf/202454201012 | |
| Published online | 27 June 2024 | |
Optimization approach to assessing the physical and mechanical properties of polymer composites
1 National Research Moscow State University of Civil Engineering, 129337 Moscow, Russia
2 National Research Mordovian State University, 430005 Saransk, Russia
3 Research Institute of Building Physics of the Russian Academy of Architecture and Construction Sciences, 127238 Moscow, Russia
4 Ural Federal University named after the first President of Russia B.N. Yeltsin, 620002 Ekaterinburg, Russia
It has been shown that one of the most significant components of composite building materials (CCM) are fillers, which help improve their structural and operational characteristics. The stages of the processes of structure formation of CSM are given. The role of energy characteristics, dispersion of fillers and degree of filling in the formation of optimal structures is emphasized. Existing approaches for theoretical assessment of the properties of composites, based on solving the Lamé problem for a thickwalled sphere, are presented.This article is devoted to an experimental study of the properties of epoxy composites with fillers having different elasticplastic and strength properties. Glass, ceramic, and chalk powders were considered as fillers; their elastic moduli were, respectively, greater, approximately equal, and less than those of pure polymer.The studies were carried out using mathematical methods of experiment planning. A full factorial experiment was carried out with the construction of a planning matrix and relative values of response functions. Explanatory graphical dependencies have been constructed.The research results can be used to predict the properties of CCM based on the properties of the initial components, as well as to clarify the extreme indicators of properties.
© The Authors, published by EDP Sciences, 2024
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.
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