OS1307-448 Stochastic multiscale modelling of textile FRP considering molding process

Multiscale analysis is effective to predict the macro properties of FRP because the macroscopic material properties of FRP depend on the properties of constituent material and the microstructure. In this study, new stochastic multiscale mathematical model considering molding process was constructed for 4 layered textile GFRP modeled by hand layup. For the mathematical model, the parameters of the geometric information of the microstructure are determined and the statistical database is obtained. Based on the mathematical model, new FRP design method which can give feedback to molding process can be proposed when improvement of FRP's properties is needed.