Smart Structures and Systems

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Implementation of SHM system for Hangzhou East Railway Station using a wireless sensor network

  • Shen, Yanbin (College of Civil Engineering and Architecture, Zhejiang University) ;
  • Fu, Wenwei (College of Civil Engineering and Architecture, Zhejiang University) ;
  • Luo, Yaozhi (College of Civil Engineering and Architecture, Zhejiang University) ;
  • Yun, Chung-Bang (College of Civil Engineering and Architecture, Zhejiang University) ;
  • Liu, Dun (CITIC General Institute of Architectural Design and Research Co., Ltd) ;
  • Yang, Pengcheng (Country Garden Holdings Company Limited) ;
  • Yang, Guang (China Railway SIYUAN Survey & Design Group Co., Ltd) ;
  • Zhou, Guangen (Zhejiang Southeast Space Frame Company)
  • Received : 2019.08.07
  • Accepted : 2020.11.05
  • Published : 2021.01.25
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Abstract

Structural health monitoring (SHM) is facilitated by new technologies that involve wireless sensor networks (WSNs). The main benefits of WSNs are that they are distributed, are inexpensive to install, and manage data effectively via remote control. In this paper, a wireless SHM system for the steel structure of Hangzhou East Railway Station in China is developed, since the state of the structural life cycle is highly complicated and the accompanying internal force redistribution is not known. The monitoring system uses multitype sensors, which include stress, acceleration, wind load, and temperature sensors, as the measurement components for the structural features, construction procedure, and on-site environment. The sensor nodes communicate with each other via a flexible tree-type network. The system that consists of 323 sensors is designed for the structure, and the data acquisition process will continue throughout its whole life cycle. First, a full-scale application of SHM using a WSN is described in details. Then, it focuses on engineering practice and data analysis. The current customized WSN has been demonstrated to have satisfactory durability and strong robustness; hence, it well satisfies the requirements for multitype sensors to operate in a large area. The data analysis results demonstrate that the effects of the construction process and the environment on the super-large-scale structure have been captured accurately. Those effects include the stress variation throughout the construction process, the dynamic responses that are caused by passing trains, the strain variation caused by temperature change over the long term, and the delay in the wind-pressure history.

Keywords

Acknowledgement

The work described in this paper was supported by the National Key R&D program of China (2017YFC0806100), National Natural Science Foundation of China (Grant No. 51578491 and No. 51178415), Qianjiang Scholar Foundation of Zhejiang province (2013R10038) and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Ministry of Education.

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