Stochastic Micro-Meso Modeling of Cross-Ply Composites for Prediction of Softening

摘要

Composites are extensively using in modern industry (aircraft and automobile manufacturing, construction, etc.). Nowadays high-strength and lightweight composite materials, such as FRPs, exhibit elastic and strength anisotropy and deform nonlinearly at high stresses. Also, such materials have small enough failure strain in comparison with metals, and they are drastically more expensive than steel and aluminum alloys. The most important task in the design of structures made of composite materials is the minimization of its weight without loss of strength properties. We presented the method for modeling a UD FRP with randomly arranged fibers at the micro- and meso-level. These two approaches were compared on the problem of the composite panel tension. The selection of the mesomodel mechanical characteristics was based on data of the micro-level model. In the mesomodel, the damage accumulation of middle layer (90° layer) was simulated using the Stochastic Failure criterion (random Mott scatter of layer strength). The calculated curves and data, obtained in micro- and mesomodels, correlate well with each other.