GuangC-iScience / rnn-viscoelasticity

Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity

Recurrent neural networks (RNNs) learn the constitutive law of viscoelasticity

RNN-viscoelasticity model development

Content

• data: the dataset for RNN-viscoelasticity model development
• src: the source code for model development and construction of one-to-one architecture from the trained model

How to cite

Chen, Guang. "Recurrent neural networks (RNNs) learn the constitutive law of viscoelasticity." Computational Mechanics 67.3 (2021): 1009-1019. https://doi.org/10.1007/s00466-021-01981-y.