Proceedings of the Second International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2017)

Elastic-plastic time-history analysis of bridge seismic based on Opensees and IDA

Authors
Xianyan Luo
Corresponding Author
Xianyan Luo
Available Online April 2017.
DOI
10.2991/icmmse-17.2017.42How to use a DOI?
Keywords
Elastic-plastic, Bridge, Time-history analysis, OpenSees
Abstract

This paper uses the method of incremental dynamic analysis (IDA), by reading the control section concrete piers and steel strain calculation termination conditions, according to the existing specification design of high speed railway bridge, with the Beijing-shanghai high-speed railway and a large span 40 m + 64 m + 40 m continuous girder bridge as the research object, under severe earthquake, and on the elastic-plastic seismic response of nonlinear computation. The example analysis results can provide reference for seismic design of similar Bridges.

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 Second International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-370-8
ISSN
2352-5401
DOI
10.2991/icmmse-17.2017.42How 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  - Xianyan Luo
PY  - 2017/04
DA  - 2017/04
TI  - Elastic-plastic time-history analysis of bridge seismic based on Opensees and IDA
BT  - Proceedings of the Second International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2017)
PB  - Atlantis Press
SP  - 264
EP  - 268
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmse-17.2017.42
DO  - 10.2991/icmmse-17.2017.42
ID  - Luo2017/04
ER  -