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JOURNALS // Vestnik Chuvashskogo Gosudarstvennogo Pedagogicheskogo Universiteta im. I. Ya. Yakovleva. Seriya: Mekhanika Predel'nogo Sostoyaniya // Archive

Vestn. Chuvash. Gos. Ped. Univ. im.I.Ya. Yakovleva Ser.: Mekh. Pred. Sost., 2025 Issue 1(63), Pages 109–122 (Mi mps113)

Improving the strength characteristics of cellular concrete using composite materials

C. Z. Khairnasov

Moscow State University of Civil Engineering

Abstract: The purpose of the article is to determine the reinforcement parameters to obtain the tensile strength characteristics of cellular concrete comparable to the compressive strength characteristics. The dependencies for determining the reduced strength characteristics of multilayer composite materials are given: canvases with different fiber arrangement. The methods for strengthening reinforced concrete structures with composite canvases are given. The modeling of a wall building panel made of cellular material reinforced with composite fibers is carried out. Numerical and analytical calculations are carried out, and the model of the wall panel model. The convergence of the finite element calculation results was determined by thickening the finite element mesh and if the results of the previous and subsequent calculations differed by no more than 3%, the finite element approximation was considered sufficient. The stress-strain state of the wall panel under the action of bending moments and temperature loads is investigated. An algorithm for determining the characteristics of the reinforcing material is developed. The reinforcement parameters are obtained at which the tensile strength characteristics are comparable to the tensile strength characteristics for this structure. The analysis of the obtained results is carried out and conclusions are drawn.

Keywords: cellular concrete, composite materials, webs, fibers, reduced characteristics, stress-strain state, finite element method, increasing bearing capacity.

UDC: 539.374

Received: 01.02.2025
Revised: 17.06.2025
Accepted: 13.04.2025

DOI: 10.37972/chgpu.2025.63.1.010



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