Smart Structures and Systems

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System identification of the suspension tower of Runyang Bridge based on ambient vibration tests

  • Li, Zhijun (College of Civil Engineering, Nanjing Tech University) ;
  • Feng, Dongming (Weidlinger Transportation Practice, Thornton Tomasetti) ;
  • Feng, Maria Q. (Department of Civil Engineering and Engineering Mechanics, Columbia University) ;
  • Xu, Xiuli (College of Civil Engineering, Nanjing Tech University)
  • Received : 2016.10.23
  • Accepted : 2017.01.27
  • Published : 2017.05.25
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Abstract

A series of field vibration tests are conducted on the Runyang Suspension Bridge during both the construction and operational stages. The purpose of this study is devoted to the analysis of the dynamic characteristics of the suspension tower. After the tower was erected, an array of accelerometers was deployed to study the evolution of its modal parameters during the construction process. Dynamic tests were first performed under the freestanding tower condition and then under the tower-cable condition after the superstructure was installed. Based on the identified modal parameters, the effect of the pile-soil-structure interaction on dynamic characteristics of the suspension tower is investigated. Moreover, the stiffness of the pile foundation is successfully identified using a probabilistic finite model updating method. Furthermore, challenges of identifying the dynamic properties of the tower from the coupled responses of the tower-cable system are discussed in detail. It's found that compared with the identified results from the freestanding tower, the longitudinal and torsional natural frequencies of the tower in the tower-cable system have changed significantly, while the lateral mode frequencies change slightly. The identified modal results from measurements by the structural health monitoring system further confirmed that the vibrations of the bridge subsystems (i.e., the tower, the suspended deck and the main cable) are strongly coupled with one another.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China

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