The use of wind turbines is an efficient and widespread means of obtaining natural wind energy. However, the increasing number of end-of-life wind turbine blades has already become a hidden danger worldwide. Traditional disposal routes can trigger many environmental, economic, legal, and other problematic aspects. A novel recycling approach, which is based on mechanical grinding and combined with 3D printing techniques, has enjoyed considerable success due to positive characteristics, such as non-environmental pollution, low cost, and excellent mechanical properties of the fabricated samples. Considering the material structure complexity of 3D printed material samples, the Representative Volume Element (RVE) stands out among many predictive simulation models. This thesis proposes a Modified Random Sequential Adsorption (MRSA) algorithm for the efficient generation of the RVEs with hybrid and arbitrary-geometry reinforcements. The material behavior of the samples and the effects of reinforcements are then discussed.