Intelligent stiffness computation for plate and beam structures by neural network enhanced finite element analysis

DOI10.1002/nme.6996OpenAlexW4225155205MaRDI QIDQ6090780

Bernd Markert, Marcus Stoffel, Saurabh Balkrishna Tandale

Publication date: 20 November 2023

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nme.6996

zbMATH Keywords

recurrent neural networkfeed-forward neural networkSobolev trainingstiffness matrix replacement

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Rods (beams, columns, shafts, arches, rings, etc.) (74K10) Plates (74K20) Finite element methods applied to problems in solid mechanics (74S05)

Related Items (4)

Synergistic integration of deep neural networks and finite element method with applications of nonlinear large deformation biomechanics ⋮ Spiking recurrent neural networks for neuromorphic computing in nonlinear structural mechanics ⋮ Physics-based self-learning spiking neural network enhanced time-integration scheme for computing viscoplastic structural finite element response ⋮ Physics-based self-learning recurrent neural network enhanced time integration scheme for computing viscoplastic structural finite element response

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