Kalina, Karl AlexanderBrummund, JörgSun, WaiChingKästner, Markus2024-11-212024-11-212024-11-21https://opara.zih.tu-dresden.de/handle/123456789/1089https://doi.org/10.25532/OPARA-677This collection provides homogenized datasets including deformation gradient, free energy, stress tensor and material tangent for anisotropic hyperelastic composites. Five different representative volume elements (RVEs) are included: An RVE of a fiber reinforced material with stochastic fiber distribution (stochastic fibers), a unit cell with a hexagonal fiber arrangement (hexagonal fibers), a unit cell with one spherical inclusion (cubic sphere), an RVE with a plane-like arrangement of particles (plane spheres), and an RVE with an arrangement of particles in a chain-like structure (chain spheres). All components, i.e., matrix, particles and fibers are assumed to be compressible and isotropic. For all, a two-parametric neo-Hookean model was chosen. The data have been generated by using an in-house finite element code based on Matlab. The data belongs to the work "Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions" by Kalina et al.; https://doi.org/10.48550/arXiv.2410.03378. Further information on the data can be found there.Attribution-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nd/4.0/4::41::402::402-02Data: Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions