Identifying hyperelastic constitutive parameters with sensitivity?based virtual fields

This work deals with the identification of hyperelastic constitutive parameters using virtual fields method. The choice displacement is a crucial aspect method, typically for reducing sensitivity to measurement noise. A first and simple option generate randomly. Nevertheless, in case models which stress not linear function parameters, improving trivial an alternative strategy has be found. In present study, sensitivity-based approach applied compared randomly generated approach. Two material were considered: Mooney model, describes quite well behavior materials small moderate strains, Ogden accounts hardening phenomenon observed at higher strains. full kinematic are measured by digital image correlation technique during equibiaxial tensile test performed on cruciform specimen. Identification results discussed through their capability predict external force test. found improve significantly prediction