Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure

Joint Authors

Wang, Gao-Xin
Sun, Peng
Wu, Lai-Li
Yue, Qing
Ding, You-Liang

Source

The Scientific World Journal

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-09-14

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

Nanjing Dashengguan Bridge, which serves as the shared corridor crossing Yangtze River for both Beijing-Shanghai high-speed railway and Shanghai-Wuhan-Chengdu railway, is the first 6-track high-speed railway bridge with the longest span throughout the world.

In order to ensure safety and detect the performance deterioration during the long-time service of the bridge, a Structural Health Monitoring (SHM) system has been implemented on this bridge by the application of modern techniques in sensing, testing, computing, and network communication.

The SHM system includes various sensors as well as corresponding data acquisition and transmission equipment for automatic data collection.

Furthermore, an evaluation system of structural safety has been developed for the real-time condition assessment of this bridge.

The mathematical correlation models describing the overall structural behavior of the bridge can be obtained with the support of the health monitoring system, which includes cross-correlation models for accelerations, correlation models between temperature and static strains of steel truss arch, and correlation models between temperature and longitudinal displacements of piers.

Some evaluation results using the mean value control chart based on mathematical correlation models are presented in this paper to show the effectiveness of this SHM system in detecting the bridge’s abnormal behaviors under the varying environmental conditions such as high-speed trains and environmental temperature.

American Psychological Association (APA)

Ding, You-Liang& Wang, Gao-Xin& Sun, Peng& Wu, Lai-Li& Yue, Qing. 2015. Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1078612

Modern Language Association (MLA)

Ding, You-Liang…[et al.]. Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure. The Scientific World Journal No. 2015 (2015), pp.1-17.
https://search.emarefa.net/detail/BIM-1078612

American Medical Association (AMA)

Ding, You-Liang& Wang, Gao-Xin& Sun, Peng& Wu, Lai-Li& Yue, Qing. Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1078612

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1078612