data-driven modeling of an elastomer bushing system under various visco-hyperelastic deformations

Since visco-hyperelastic materials are vastly used in different industries, a proper constitutive model plays a key role in predicting materials’ behavior. on the other hand, due to the substantial leap in data science and machine learning methods, it is beneficial to use these models to simplify the constitutive modeling procedure. this paper aims to develop a new modeling approach based on machine learning that can accurately predict the visco-hyperelastic behavior of materials in different loading conditions.