A robust five-unknowns higher-order deformation theory optimized via machine learning for functionally graded plates-Reference-Cited by-同舟云学术

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A robust five-unknowns higher-order deformation theory optimized via machine learning for functionally graded plates

Published:2024-04-25 Issue: Volume: Page:1-16
ISSN:1537-6494
Container-title:Mechanics of Advanced Materials and Structures
language:en
Short-container-title:Mechanics of Advanced Materials and Structures

Author:

Yarasca J.¹^ORCID,Mantari J. L.²³,Monge J. C.³,Hinostroza M. A.³

Affiliation:

1. Carrera de Ingeniería Mecatrónica, Facultad de Ingeniería, Universidad San Ignacio de Loyola, Lima, Peru

2. Department of Science, University of Engineering and Technology (UTEC), Lima, Peru

3. Escuela Central de Posgrado, Universidad Nacional de Ingeniería, Lima, Peru

Funder

CONCYTEC

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376494.2024.2344037

Reference48 articles.

1. Functionally Graded Composite Materials: An Overview

2. On the numerical modelling and analysis of multi-directional functionally graded composite structures: A review

3. Analysis of functionally graded plates

4. Three-dimensional elasticity solution for bending of functionally graded rectangular plates

5. Three-dimensional elasticity solution for sandwich panels with a functionally graded core

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transient bending analysis of the origami enriched metamaterial system: Application of deep neural networks in the mathematical framework for metamaterial problems;Mechanics of Advanced Materials and Structures;2024-05-21

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