Challenges of Dealing with the Massive Monitoring Data for Safety Assessment of Bridges

Fu Ming Liu; Qun Ding

doi:10.4028/www.scientific.net/KEM.619.35

Paper Titles

Design of a Long-Term Monitoring System for a PSC Continuous Box-Girder Bridge
p.1

Proposed and Method Presentation of Bridge Model Updating
p.11

A Study on Practical Design in Joint Core Area of Concrete Beam
p.19

The Approximate Analytical Method Based on Differential Equations for Solving Problems of Statically Determinate Beam and Rigid Frame
p.27

Challenges of Dealing with the Massive Monitoring Data for Safety Assessment of Bridges
p.35

Pre-Camber Study on the Steel-Concrete Composite Beam Constructed by the Incremental Launching Method
p.43

Development and Challenge of Structural Health Monitoring of Long-Span Bridges
p.51

Comfort Analysis of Large-Span Continuous Girder Bridges to Moving Vehicular Loads
p.61

Commonly Encountered Damages in Cable Members of CFST Arch Bridge and Detection Methods
p.71

HomeKey Engineering MaterialsKey Engineering Materials Vol. 619Challenges of Dealing with the Massive Monitoring...

Challenges of Dealing with the Massive Monitoring Data for Safety Assessment of Bridges

Abstract:

This paper aims at discussing and summarizing the methods for dealing with the massive monitoring data obtained from the structural health monitoring system of bridges. Firstly, some methods related to the 'big data' issue were introduced such as dynamic fingerprint analysis, model updating method, artificial neural network, genetic algorithm, wavelet analysis etc,. Secondly, this study focused on the basic idea, research situation and existing problems of above methods. Finally, the research emphasis of the methods for dealing with massive data was proposed.

You might also be interested in these eBooks

Some Research Results on Bridge Health Monitoring, Maintenance and Safety IV

View Preview

Info:

Periodical:

Key Engineering Materials (Volume 619)

Pages:

35-41

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.619.35

Citation:

Cite this paper

Online since:

July 2014

Authors:

Fu Ming Liu*, Qun Ding

Keywords:

Bridge, Massive Data, Safety Assessment, Structural Healthy Monitoring

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Jiezao Wang, Jiwei Zhong, Bo Wang. Design and progress of long span bridge health monitoring system. Bridge Construction, 2009(2):7-12.

Google Scholar

[2] Guanying Xiao. Long span bridge health monitoring and safety evaluation research. Sichuan Architecture, 2008,28(5):33-35.

Google Scholar

[3] Ming Liu, M.Frangopol, Sunyong Kim. Bridge Safety Evaluation Based on Monitored Live Load Effcets. Journal of Bridge Engineering. ASCE, 2009, 14(4):257-269.

DOI: 10.1061/(asce)1084-0702(2009)14:4(257)

Google Scholar

[4] Xiaoyao Xie, Xinping Yan. Based on a long-span bridge health monitoring method research. Guizhou Science, 2007.25(2):9-12.

Google Scholar

[5] Pengfei Ceng. Long span bridge structure safety monitoring and evaluation. China Construction, 2008(2):53-54.

Google Scholar

[6] Yongbiao Wen. Some theoretical research on bridge health monitoring system. Modern Science, 2009, (16):40-44.

Google Scholar

[7] Zhengtao Hu. The development status of bridge health monitoring. Sichuan Architecture, 2009, 39(3):102-103.

Google Scholar

[8] Xinliang Wei, Zhenhong Wang. Bridge health monitoring technology development status and trend analysis. Journal of Railway Engineering Society, 2008(9):44-47.

Google Scholar

[9] Zhaoxia Li. Based on long-span bridge fatigue damage assessment of the health monitoring. Science Technology and Engineering, 2004(1):56-57.

Google Scholar

[10] Yaming Tang, He Zhang. Cable damage and health monitoring of large scale bridge. Bridge Construction, 2002(5):79-82.

Google Scholar

[11] Xiaoyao Liu, Jian Cai, Hui Liu. Bridge damage detection. China Communications Press, 2002,7.

Google Scholar

[12] Bihui Liu, Ting Ning, Yumei Fu, Weiming chen. Dragline cable force remote real-time measuring technology research. Chinese Journal of Scientific Instrument, 2004, 25(4):32-37.

Google Scholar