Surrogate modeling of the effective elastic properties of spherical particle-reinforced composite materials

Abstract This paper focuses on the development of a surrogate model to predict macroscopic elastic properties polymer composites doped with spherical particles. To this aim, polynomial chaos expansion based Kriging metamodeling technique has been developed. The training experimental design is constructed through dataset numerical representative volume elements (RVEs) considering randomly dispersed RVEs are discretized using finite elements, and effective obtained by implementing periodic boundary conditions. Parametric analyses reported assess convergence scale RVE mesh density. accuracy proposed metamodelling approach bypass computationally expensive homogenization evaluated different metrics. Overall, presented results evidence efficiency modelling, enabling implementation intensive techniques such as material optimization.