Proceedings of the 2016 International Conference on Architectural Engineering and Civil Engineering

Cyclic Behavior Prediction of WUF-W Connections Using FEA

Authors
Changseok LEE, Namhun KIM, Taeo KIM, Sangwhan Han
Corresponding Author
Changseok LEE
Available Online December 2016.
DOI
10.2991/aece-16.2017.28How to use a DOI?
Keywords
cyclic behavior; moment connection; finite element analysis; special moment frame
Abstract

The welded unreinforced flange-welded web (WUF-W) moment connection is one of seven prequalified connections for the special moment frames (SMF) specified in AISC 358-10. In this study, in order to predict cyclic behavior of WUF-W connections using nonlinear FEA, finite element studies for selection of a proper brick solid element and mesh layer were conducted. As a result, the cyclic behavior of WUF-W connections is evaluated using three-dimensional nonlinear finite element (FE) analyses with an adequate solid element and mesh layers.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Architectural Engineering and Civil Engineering
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
978-94-6252-298-5
ISSN
2352-5401
DOI
10.2991/aece-16.2017.28How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Changseok LEE
AU  - Namhun KIM
AU  - Taeo KIM
AU  - Sangwhan Han
PY  - 2016/12
DA  - 2016/12
TI  - Cyclic Behavior Prediction of WUF-W Connections Using FEA
BT  - Proceedings of the 2016 International Conference on Architectural Engineering and Civil Engineering
PB  - Atlantis Press
SP  - 119
EP  - 122
SN  - 2352-5401
UR  - https://doi.org/10.2991/aece-16.2017.28
DO  - 10.2991/aece-16.2017.28
ID  - LEE2016/12
ER  -