確率的非線形マルチスケール解析法の開発と短繊維強化複合材料への応用

抄録

In the recent wider applications of fiber reinforced plastic composite materials, there is a growing need to replace the huge number of coupon tests by numerical simulation. Since the requirement for the huge number of tests is partially due to the variability, there is a growing need for stochastic simulation. The author has developed the first-order perturbation based stochastic homogenization (FPSH) method that considers random physical parameters for the constituent materials and can solve damage propagation at the microscale. In this paper, the geometrical variability was also considered in the nonlinear simulation of short fiber reinforced composite material. Variety of probable damage patterns and scenarios were predicted, which implied that the fiber arrangement was more influential on the stochastic results rather than the fiber orientation.