Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder-decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates
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Publication:6084770
DOI10.1007/s00466-023-02317-8zbMath1528.74116MaRDI QIDQ6084770
Marcus Stoffel, Saurabh Balkrishna Tandale
Publication date: 2 December 2023
Published in: Computational Mechanics (Search for Journal in Brave)
shock tube experimentdilated convolution operationgeometrically nonlinear viscoplasticitymetal platemulti-layered gated recurrent unitmulti-layered long-short term memory
Artificial neural networks and deep learning (68T07) Small-strain, rate-dependent theories of plasticity (including theories of viscoplasticity) (74C10) Shocks and related discontinuities in solid mechanics (74J40) Plates (74K20) Numerical and other methods in solid mechanics (74S99)
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