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Journal of Applied Geodesy

Editor-in-Chief: Kahmen, Heribert / Rizos, Chris


CiteScore 2018: 1.61

SCImago Journal Rank (SJR) 2018: 0.532
Source Normalized Impact per Paper (SNIP) 2018: 1.064

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1862-9024
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Volume 8, Issue 4

Issues

Optimal GPS/accelerometer integration algorithm for monitoring the vertical structural dynamics

Xiaolin Meng
  • Corresponding author
  • Nottingham Geospatial Institute, The University of Nottingham, Nottingham NG7 2TU
  • Sino-UK Geospatial Engineering Centre, The University of Nottingham, Nottingham NG7 2RD, UK
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  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Jian Wang
  • School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China; and Sino-UK Geospatial Engineering Centre, The University of Nottingham, Nottingham NG7 2RD, UK
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Houzeng Han
  • School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China; and Sino-UK Geospatial Engineering Centre, The University of Nottingham, Nottingham NG7 2RD, UK
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2014-12-05 | DOI: https://doi.org/10.1515/jag-2014-0024

Abstract

The vertical structural dynamics is a crucial factor for structural health monitoring (SHM) of civil structures such as high-rise buildings, suspension bridges and towers. This paper presents an optimal GPS/accelerometer integration algorithm for an automated multi-sensor monitoring system. The closed loop feedback algorithm for integrating the vertical GPS and accelerometer measurements is proposed based on a 5 state extended KALMAN filter (EKF) and then the narrow moving window Fast Fourier Transform (FFT) analysis is applied to extract structural dynamics. A civil structural vibration is simulated and the analysed result shows the proposed algorithm can effectively integrate the online vertical measurements produced by GPS and accelerometer. Furthermore, the accelerometer bias and scale factor can also be estimated which is impossible with traditional integration algorithms. Further analysis shows the vibration frequencies detected in GPS or accelerometer are all included in the integrated vertical defection time series and the accelerometer can effectively compensate the short-term GPS outages with high quality. Finally, the data set collected with a time synchronised and integrated GPS/accelerometer monitoring system installed on the Nottingham Wilford Bridge when excited by 15 people jumping together at its mid-span are utilised to verify the effectiveness of this proposed algorithm. Its implementations are satisfactory and the detected vibration frequencies are 1.720 Hz, 1.870 Hz, 2.104 Hz, 2.905 Hz and also 10.050 Hz, which is not found in GPS or accelerometer only measurements.

Keywords: Global Ppositioning System (GPS); accelerometer; integration; vibration; extended Kalman filter; dynamic defection monitoring

About the article

Received: 2014-10-22

Accepted: 2014-10-28

Published Online: 2014-12-05

Published in Print: 2014-11-01


Citation Information: Journal of Applied Geodesy, Volume 8, Issue 4, Pages 265–272, ISSN (Online) 1862-9024, ISSN (Print) 1862-9016, DOI: https://doi.org/10.1515/jag-2014-0024.

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