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Global Navigation Satellite Systems (GNSSs) for Monitoring Long Suspension Bridges


  1. Xiaolin Meng1,
  2. Wei Huang2

Published Online: 15 SEP 2009

DOI: 10.1002/9780470061626.shm079

Encyclopedia of Structural Health Monitoring

Encyclopedia of Structural Health Monitoring

How to Cite

Meng, X. and Huang, W. 2009. Global Navigation Satellite Systems (GNSSs) for Monitoring Long Suspension Bridges. Encyclopedia of Structural Health Monitoring. .

Author Information

  1. 1

    University of Nottingham, Institute of Engineering Surveying and Space Geodesy, Nottingham, UK

  2. 2

    Southeast University, Intelligent Transportation Systems Research Centre, Nanjing, China

Publication History

  1. Published Online: 15 SEP 2009


Global navigation satellite system (GNSS), notably global positioning system (GPS), has been utilized for more than a decade in the deformation monitoring of a variety of stationary structures such as dams, building, slopes, etc., around the world. With the technological advent of GPS positioning, telecommunications, and signal processing, as well as public awareness, GPS has been widely used in recent years for monitoring slender structures such as large suspension bridges and high-rise buildings. This article briefly reviews the history of GNSS for SHM of different civil structures, with its focus on the applications of GNSS positioning for long suspension bridge deformation monitoring. It is followed by a discussion on the architecture of GNSS centered SHM system, which consists of subsystems such as instrumentation, data acquisition and transmission, data processing, visualization of deformations, and interface with dedicated analytical models. The issues in using GNSS for SHM are addressed by the authors and also relevant solutions are introduced in the article. At the end of the article, the authors present their future vision about GNSS for SHM.


  • structural health monitoring (SHM);
  • global positioning system;
  • global navigation satellite system;
  • suspension bridge;
  • sensor integration;
  • signal processing;
  • deformation analysis and visualization