Estimation of Curvature Changes for Steel-Concrete Composite Bridge Using Fiber Bragg Grating Sensors

Joint Authors

Chung, Wonseok
Kang, Donghoon

Source

Advances in Materials Science and Engineering

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-11-21

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Engineering Sciences and Information Technology

Abstract EN

This study is focused on the verification of the key idea of a newly developed steel-concrete composite bridge.

The key idea of the proposed bridge is to reduce the design moment by applying vertical prestressing force to steel girders, so that a moment distribution of a continuous span bridge is formed in a simple span bridge.

For the verification of the key technology, curvature changes of the bridge should be monitored sequentially at every construction stage.

A pair of multiplexed FBG sensor arrays is proposed in order to measure curvature changes in this study.

They are embedded in a full-scale test bridge and measured local strains, which are finally converted to curvatures.

From the result of curvature changes, it is successfully ensured that the key idea of the proposed bridge, expected theoretically, is viable.

American Psychological Association (APA)

Kang, Donghoon& Chung, Wonseok. 2013. Estimation of Curvature Changes for Steel-Concrete Composite Bridge Using Fiber Bragg Grating Sensors. Advances in Materials Science and Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-469444

Modern Language Association (MLA)

Kang, Donghoon& Chung, Wonseok. Estimation of Curvature Changes for Steel-Concrete Composite Bridge Using Fiber Bragg Grating Sensors. Advances in Materials Science and Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-469444

American Medical Association (AMA)

Kang, Donghoon& Chung, Wonseok. Estimation of Curvature Changes for Steel-Concrete Composite Bridge Using Fiber Bragg Grating Sensors. Advances in Materials Science and Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-469444

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-469444