Selection of element-wise shell kinematics using neural networks-Reference-Cited by-同舟云学术

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Selection of element-wise shell kinematics using neural networks

Published:2021-02 Issue: Volume:244 Page:106425
ISSN:0045-7949
Container-title:Computers & Structures
language:en
Short-container-title:Computers & Structures

Author:

Petrolo M.,Carrera E.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,General Materials Science,Modeling and Simulation,Civil and Structural Engineering

Reference85 articles.

1. Sur l’équilibre et le mouvement d’une plaque solide;Cauchy;Exercises de Matematique,1828

2. Memoire sur l’équilibre et le mouvement des corps elastique;Poisson;Mem Acad Sci,1829

3. The mathematical theory of elasticity;Love,1927

4. Uber das gleichgewicht und die bewegung einer elastischen scheibe;Kirchhoff;J fur reins Angew Mathematik,1850

5. The effect of transverse shear deformation on the bending of elastic plates;Reissner;J Appl Mech,1945

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1. A machine learning approach to evaluate the influence of higher-order generalized variables on shell free vibrations;Journal of Sound and Vibration;2024-04

2. An interlaminar damage shell model for typical composite structures;Chinese Journal of Aeronautics;2024-01

3. Random forest-based surrogates for transforming the behavioral predictions of laminated composite plates and shells from FSDT to Elasticity solutions;Composite Structures;2023-04

4. On accurately capturing the through-thickness variation of transverse shear and normal stresses for composite beams using FSDT coupled with GPR;Composite Structures;2023-02

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