An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design

Xingyu Fu; Fengfeng Zhou; Dheeraj Peddireddy; Zhengyang Kang; Martin Byung Guk Jun; Vaneet Aggarwal

doi:10.1093/jcde/qwad025

An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design

Xingyu Fu
, Fengfeng Zhou
, Dheeraj Peddireddy
, Zhengyang Kang
, Martin Byung Guk Jun
, Vaneet Aggarwal

Purdue University
Purdue University
School of Mechanical and Power Engineering
Nanjing Tech University

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1026-1046
Number of pages	21
Journal	Journal of Computational Design and Engineering
Volume	10
Issue number	3
DOIs	https://doi.org/10.1093/jcde/qwad025
State	Published - Jun 1 2023
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus Subject Areas

Computational Mechanics
Modeling and Simulation
Engineering (miscellaneous)
Human-Computer Interaction
Computer Graphics and Computer-Aided Design
Computational Mathematics

Keywords

graph neural network
machine learning
solid mechanics
stress field
topology optimization

Access to Document

10.1093/jcde/qwad025

Cite this

@article{097d75d0784d40bca30d471feb514f82,

title = "An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design",

keywords = "graph neural network, machine learning, solid mechanics, stress field, topology optimization",

author = "Xingyu Fu and Fengfeng Zhou and Dheeraj Peddireddy and Zhengyang Kang and Jun, \{Martin Byung Guk\} and Vaneet Aggarwal",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s). Published by Oxford University Press on behalf of the Society for Computational Design and Engineering.",

year = "2023",

month = jun,

day = "1",

doi = "10.1093/jcde/qwad025",

language = "English",

volume = "10",

pages = "1026--1046",

journal = "Journal of Computational Design and Engineering",

issn = "2288-4300",

number = "3",

}

TY - JOUR

T1 - An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design

AU - Fu, Xingyu

AU - Zhou, Fengfeng

AU - Peddireddy, Dheeraj

AU - Kang, Zhengyang

AU - Jun, Martin Byung Guk

AU - Aggarwal, Vaneet

PY - 2023/6/1

Y1 - 2023/6/1

KW - graph neural network

KW - machine learning

KW - solid mechanics

KW - stress field

KW - topology optimization

UR - https://www.scopus.com/pages/publications/85163032584

UR - https://www.scopus.com/pages/publications/85163032584#tab=citedBy

U2 - 10.1093/jcde/qwad025

DO - 10.1093/jcde/qwad025

M3 - Article

AN - SCOPUS:85163032584

SN - 2288-4300

VL - 10

SP - 1026

EP - 1046

JO - Journal of Computational Design and Engineering

JF - Journal of Computational Design and Engineering

IS - 3

ER -

An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

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