Multiscale computational modeling of mechanical properties of polymer composite materials

This article reports the results of a multiscale modeling of polymer composite materials (PCMs). It was demonstrated that their mechanical characteristics are determined by the combined contribution of micro-, meso-, and macroscopic strain processes. A multiscale approach to building digital models that account for the structural and mechanical characteristics of the material was introduced and subsequently applied in order to develop a micro-model of a carbon yarn, a meso-model of a PCM based on triaxial woven fabric, and a macro-model of a reflector, enabling prediction of the stress-strain state across different scales. The stress-strain state of the material was evaluated, and the processes of its fracture were analyzed. The stress-strain diagrams were constructed, and the effective mechanical properties of the PCM were identified. The models obtained make it possible to perform virtual tests without resource-intensive experiments and can be employed in the design, adaptation, and optimization of PCMs for solving specific engineering tasks.