arrow
Return

Structural-Genome-Driven computing for composite structures

delete2019-05-01
delete49
PRE
AI
J
Jie Yang
R
Rui Xu
胡衡 cover
胡衡 (Heng Hu) *
黄群 (Qun Huang)
W
Wei Huang
DOI:10.1016/j.compstruct.2019.02.064delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The aim of this work is to propose a new approach, named Structural-Genome-Driven (SGD) computing, for composite structures, where the structural-genome database is collected through the multi-level finite element method (FE2). Compared to Material-Genome-Driven (MGD) analysis, proposed by Kirchdoerfer and Ortiz, 2016, the new SGD method benefits from not only the model reduction, but also the ability to easily deal with complex microscopic geometry and material properties. Several numerical tests are considered to demonstrate the efficiency and robustness of the proposed method.
Keywords:
SGD
Data-driven
Structural-genome
FE2
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Composite Structures cover
Composite Structures
IF:
7.1
Papers:
1.8W
Citations:
8.0W

Organization

W
wuhan university
Scholars:
8.1W
Papers: 5.8W
Citations: 70