Abstract
Advanced materials such as fiber reinforced composite materials show high stiffness and strength and therefore they are widely spread in industries. However, those mechanical properties are sometimes largely scattered because of physical and geometrical uncertainties at the microscale depending on the manufacturing process. To this end, there is a growing need for the stochastic multiscale simulation to predict the scattered properties. Hence, this paper proposed a first-order perturbation based stochastic homogenization method for multi-phase composite materials using many random parameters for elastic tensor of constituent materials. A demonstrative numerical example is shown for plain glass woven fabric reinforced plastic fabricated by hand layup using 62 random parameters when the distribution of fiber volume fraction was considered.
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