FE Analysis using Recurrent Neural Networks for Uncertain Stress-Strain-Time Dependencies

A new soft computing approach is described, which can be applied for the identification of uncertain time-dependent material behaviour. Artificial neural networks are utilized for model-free material formulations. Uncertain stress-strain-time dependencies obtained from uncertain results of experimental investigations are described by recurrent neural networks for fuzzy data. An incremental finite element formulation is presented using neural networks instead of material models. (© 2011 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim)