Proceedings of the 2016 International Conference on Civil, Transportation and Environment

An intelligent monitoring method and its experiment for bridge bearing

Authors
Qiang Liu, Guangming Li, Ruijuan Jiang, Fang Yu, Weiming Gai
Corresponding Author
Qiang Liu
Available Online January 2016.
DOI
10.2991/iccte-16.2016.106How to use a DOI?
Keywords
structural health monitoring; virtual instrument; bridge bearing; data acquisition
Abstract

The bridge bearing stress and deformation can eflect the safety of the bridge structure significantly. For bridge bearing status monitoring, identification and early warning technology, in recent years, is an important research direction for structural health monitoring. This paper is based on a model pot rubber bearing , combines with the practical application of bridge bearing condition, chooses specific sensors as data acquisition nodes, designs and develops the signal adjusting module, and uses the data acquisition card to build the hardware platforms of the data acquisition system. Furthermore here also uses virtual instrument technique to develop the the upper computer of this data acquisition system. The system is validated by performing laboratory loading test on a model bridge bearing.The experiment result and data are analyzed

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 International Conference on Civil, Transportation and Environment
Series
Advances in Engineering Research
Publication Date
January 2016
ISBN
10.2991/iccte-16.2016.106
ISSN
2352-5401
DOI
10.2991/iccte-16.2016.106How 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  - Qiang Liu
AU  - Guangming Li
AU  - Ruijuan Jiang
AU  - Fang Yu
AU  - Weiming Gai
PY  - 2016/01
DA  - 2016/01
TI  - An intelligent monitoring method and its experiment for bridge bearing
BT  - Proceedings of the 2016 International Conference on Civil, Transportation and Environment
PB  - Atlantis Press
SP  - 633
EP  - 638
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-16.2016.106
DO  - 10.2991/iccte-16.2016.106
ID  - Liu2016/01
ER  -