A Deep Energy Method for the Analysis of Thermoporoelastic Functionally Graded Beams

DOI10.1142/S0219876221430209OpenAlexW4286203515MaRDI QIDQ6173006

Unnamed Author, Maryam Hashemitaheri, Timon Rabczuk, Xiaolong Fu, Unnamed Author

Publication date: 21 July 2023

Published in: International Journal of Computational Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219876221430209

zbMATH Keywords

Timoshenko beamfunctionally graded materialEuler-Bernoulli beamdeep energy methodthermoporoelastic analysis

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX) Statistical mechanics, structure of matter (82-XX)

Related Items (1)

A Deep Energy Method for the Analysis of Thermoporoelastic Functionally Graded Beams

Cites Work

• Exact solutions for nonlinear static responses of a shear deformable FGM beam under an in-plane thermal loading
• Thermal and mechanical stability of a circular porous plate with piezoelectric actuators
• Poroelasticity
• DGM: a deep learning algorithm for solving partial differential equations
• An introduction to neural network methods for differential equations
• A Deep Energy Method for the Analysis of Thermoporoelastic Functionally Graded Beams

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