Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

A model test for acquiring input excitations from dynamic response of pier under collision force

Authors
Kunpeng Cui, Yupeng Wang, Chaoyi Xia, He Xia
Corresponding Author
Kunpeng Cui
Available Online December 2016.
DOI
10.2991/icsma-16.2016.75How to use a DOI?
Keywords
high-speed railway; bridge pier; vehicle collision; model test
Abstract

A model test is executed to verify a reverse derivation method for acquiring input excitations from dynamic responses of pier under collision loads, upon the train-bridge system test platform. A dynamic strain is measured at the bottom of pier under collision, and then the corresponding collision forces are reversely calculated from the tested strain, which match well with those directly obtained by the force sensor. Based on the results, a method of acquiring collision force time history is proposed as the excitation input for the research of train-bridge coupling system subjected to collision loads.

Copyright
© 2016, 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 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
10.2991/icsma-16.2016.75
ISSN
1951-6851
DOI
10.2991/icsma-16.2016.75How to use a DOI?
Copyright
© 2016, 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  - Kunpeng Cui
AU  - Yupeng Wang
AU  - Chaoyi Xia
AU  - He Xia
PY  - 2016/12
DA  - 2016/12
TI  - A model test for acquiring input excitations from dynamic response of pier under collision force
BT  - Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
PB  - Atlantis Press
SP  - 421
EP  - 424
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsma-16.2016.75
DO  - 10.2991/icsma-16.2016.75
ID  - Cui2016/12
ER  -