Machine learning–based estimation method for the mechanical response of composite cellular structures-Reference-Cited by-同舟云学术

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Machine learning–based estimation method for the mechanical response of composite cellular structures

Published:2023-09 Issue: Volume:126 Page:108161
ISSN:0142-9418
Container-title:Polymer Testing
language:en
Short-container-title:Polymer Testing

Author:

Takagi Aoi,Ichikawa Ryo,Miyagawa Takeru,Song Jinlan,Yonezu Akio,Nagatsuka Hideki

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Polymers and Plastics,Organic Chemistry

Reference30 articles.

1. Elastically isotropic truss-plate-hybrid hierarchical microlattices with enhanced modulus and strength;Wang;Small,2023

2. Finite deformation effects in cellular structures with hyperelastic cell walls;Mihai;Int. J. Solid Struct.,2015

3. Engineering lattice metamaterials for extreme property, programmability, and multifunctionality;Jia;J. Appl. Phys.,2020

4. An overview of engineered porous material for energy applications: a mini-review;Vekariya;Ionics,2018

5. Determining in-plane material properties of square core cellular materials using computational homogenization technique;Yazdanparast;Eng. Comput.,2023

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. Comparative Analysis of Machine Learning Models for Predicting the Mechanical Behavior of Bio-Based Cellular Composite Sandwich Structures;Materials;2024-07-15

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