Self-Consistency Reinforced Minimal Gated Recurrent Unit for Surrogate Modeling of History-Dependent On-Linear Problems: Application to History-Dependent Homogenized Response of Heterogeneous Materials
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Elsevier BV
Reference50 articles.
1. Implicit constitutive modelling for viscoplasticity using neural networks;T Furukawa;International Journal for Numerical Methods in Engineering,1998
2. Neural network based constitutive modeling of nonlinear viscoplastic structural response;M Stoffel;Mechanics Research Communications,2019
3. Accurate cyclic plastic analysis using a neural network material model, Engineering Analysis with Boundary;T Furukawa;Elements,2004
4. Meta-modeling game for deriving theoryconsistent, microstructure-based traction-separation laws via deep reinforcement learning;K Wang;Computer Methods in Applied Mechanics and Engineering,2019
5. Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior;M Fern�ndez;Advanced Modeling and Simulation in Engineering Sciences,2020
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