Scalable FEA on non-conforming assembly mesh

Rong Tian; Zedong Wu; Chaowei Wang

doi:10.1016/j.cma.2013.07.012

Scalable FEA on non-conforming assembly mesh

Rong Tian^*, Zedong Wu, Chaowei Wang

^*Corresponding author for this work

Physical Sciences and Engineering

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

3 Scopus citations

Abstract

Motivated by the potential scalability challenge of unstructured FE simulation at scale, proposed is a FE approach that is free of the difficulty of mesh generation and is highly scalable in terms of pre- and post-processing. Its effectiveness is demonstrated through a structural analysis of 1.2. billion of DOFs, in which conforming mesh generation is prohibitively expensive and difficult.

Original language	English (US)
Pages (from-to)	98-111
Number of pages	14
Journal	Computer Methods in Applied Mechanics and Engineering
Volume	266
DOIs	https://doi.org/10.1016/j.cma.2013.07.012
State	Published - Nov 1 2013

Keywords

Assembly mesh
Mesh distortion tolerance
Scalable unstructured FEA
Simulation at scale

ASJC Scopus subject areas

Computational Mechanics
Mechanics of Materials
Mechanical Engineering
General Physics and Astronomy
Computer Science Applications

Access to Document

10.1016/j.cma.2013.07.012

Cite this

@article{bce34259e40f4a83b147a1baa179a610,

title = "Scalable FEA on non-conforming assembly mesh",

abstract = "Motivated by the potential scalability challenge of unstructured FE simulation at scale, proposed is a FE approach that is free of the difficulty of mesh generation and is highly scalable in terms of pre- and post-processing. Its effectiveness is demonstrated through a structural analysis of 1.2. billion of DOFs, in which conforming mesh generation is prohibitively expensive and difficult.",

keywords = "Assembly mesh, Mesh distortion tolerance, Scalable unstructured FEA, Simulation at scale",

author = "Rong Tian and Zedong Wu and Chaowei Wang",

note = "Funding Information: The work was financially supported by “100 Talent Program” of Chinese Academy of Sciences and National Foundation of Sciences of China (Grand numbers: 11072241 , 11111140020 , 91130026 ). Supercomputer Titan at the US DOE Oak Ridge National Laboratory (ORNL) is used for scalability tests under the support of the “Director{\textquoteright}s Discretion” project (Grant number: MAT028 ). The authors are grateful to Dr. Hongtao Wang and Dr. Libin Sun, Institute of Nuclear and New Energy Technology, Tsinghua University, for the CAD assembly data of the example shown in Fig. 10 . The authors also thank Professor X. Zhang, Tsinghua University, for stimulating discussions on the Material Point Method. ",

year = "2013",

month = nov,

day = "1",

doi = "10.1016/j.cma.2013.07.012",

language = "English (US)",

volume = "266",

pages = "98--111",

journal = "Computer Methods in Applied Mechanics and Engineering",

issn = "0045-7825",

publisher = "Elsevier",

}

TY - JOUR

T1 - Scalable FEA on non-conforming assembly mesh

AU - Tian, Rong

AU - Wu, Zedong

AU - Wang, Chaowei

N1 - Funding Information: The work was financially supported by “100 Talent Program” of Chinese Academy of Sciences and National Foundation of Sciences of China (Grand numbers: 11072241 , 11111140020 , 91130026 ). Supercomputer Titan at the US DOE Oak Ridge National Laboratory (ORNL) is used for scalability tests under the support of the “Director’s Discretion” project (Grant number: MAT028 ). The authors are grateful to Dr. Hongtao Wang and Dr. Libin Sun, Institute of Nuclear and New Energy Technology, Tsinghua University, for the CAD assembly data of the example shown in Fig. 10 . The authors also thank Professor X. Zhang, Tsinghua University, for stimulating discussions on the Material Point Method.

PY - 2013/11/1

Y1 - 2013/11/1

N2 - Motivated by the potential scalability challenge of unstructured FE simulation at scale, proposed is a FE approach that is free of the difficulty of mesh generation and is highly scalable in terms of pre- and post-processing. Its effectiveness is demonstrated through a structural analysis of 1.2. billion of DOFs, in which conforming mesh generation is prohibitively expensive and difficult.

AB - Motivated by the potential scalability challenge of unstructured FE simulation at scale, proposed is a FE approach that is free of the difficulty of mesh generation and is highly scalable in terms of pre- and post-processing. Its effectiveness is demonstrated through a structural analysis of 1.2. billion of DOFs, in which conforming mesh generation is prohibitively expensive and difficult.

KW - Assembly mesh

KW - Mesh distortion tolerance

KW - Scalable unstructured FEA

KW - Simulation at scale

UR - http://www.scopus.com/inward/record.url?scp=84883783497&partnerID=8YFLogxK

U2 - 10.1016/j.cma.2013.07.012

DO - 10.1016/j.cma.2013.07.012

M3 - Article

AN - SCOPUS:84883783497

SN - 0045-7825

VL - 266

SP - 98

EP - 111

JO - Computer Methods in Applied Mechanics and Engineering

JF - Computer Methods in Applied Mechanics and Engineering

ER -

Scalable FEA on non-conforming assembly mesh

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this