Large bridge cable tension estimation with cyber vibration sensing system

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

2 Scopus Citations
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Author(s)

  • Shaodong Zhan
  • Zhi Li
  • Winston Sun

Detail(s)

Original languageEnglish
Title of host publication6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016
PublisherIEEE
Pages121-125
ISBN (Print)9781509027323
Publication statusPublished - Jun 2016

Publication series

NameIEEE Annual International Conference on Cyber Technology in Automation Control and Intelligent Systems
PublisherIEEE
ISSN (Print)2379-7711

Conference

Title6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016
PlaceChina
CityChengdu
Period19 - 22 June 2016

Abstract

We present in this paper our development of a cyber physical sensing platform for monitoring the structural tension of large bridge cables using MEMS vibration sensors and proprietary wireless technology. In order to implement the online tension analysis of the bridge cables, we developed an improved technology for the general identification of cable tension using the Gauss-Newton method to determine the eigenfrequency order and bending stiffness. The improved identification method was applied to vertical suspender cables, i.e., more commonly known as 'hangers', of the south section of the Huangpu Bridge. The result shows that the proposed method can effectively estimate the cable tension of the bridge's cables of different lengths.

Research Area(s)

  • cable tension force, accelerometer, suspension bridge, Gauss-Newton method, STAY CABLES, IDENTIFICATION

Citation Format(s)

Large bridge cable tension estimation with cyber vibration sensing system. / Zhan, Shaodong; Chen, Meng; Li, Zhi et al.
6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016. IEEE, 2016. p. 121-125 7574807 (IEEE Annual International Conference on Cyber Technology in Automation Control and Intelligent Systems).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review