Machine learning and neural networks based approach for deflection prediction of Euler-Bernoulli beam equations

DOI10.20948/mathmontis-2023-56-8zbMath1524.74142OpenAlexW4368249112MaRDI QIDQ6116553

Unnamed Author, Zaur Rasulov

Publication date: 18 July 2023

Published in: Mathematica Montisnigri (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.20948/mathmontis-2023-56-8

zbMATH Keywords

deflectionneural networkFEMmachine learningEuler-Bernoulli beams

Mathematics Subject Classification ID

Rods (beams, columns, shafts, arches, rings, etc.) (74K10) Finite element methods applied to problems in solid mechanics (74S05) Numerical approximation of solutions of equilibrium problems in solid mechanics (74G15) Numerical and other methods in solid mechanics (74S99)

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