Optimization of weight and elastic properties for unidirectional glass fiber reinforced composites

Glass fibers reinforcing composites (GFRC) are the most common industrial materials due to their low weight and superior strength. Microstructure modeling provides a practical approach for predicting behavior of composite based on constituent's property. The mechanical properties play significant role in various applications such as aviation, marines, vehicles industries. In this study, microstructure model is developed multi-objective optimization problem involving trade-offs between minimizing material stiffness-enhancing. A finite element representative volume (RVE) material's used predict elastic fiber matrix composites. Composite elasticity density can be obtained directly from RVE extrapolated larger scale. generated by using commercial software (Abaqus); then, non-GUI mode called Isight Software solve Archive Micro Genetic (AMGA) Algorithm obtain optimum design RVE.