Abstract
This paper summarises recent achievements in Global Navigation Satellite Systems (GNSS) based bridge structural health monitoring (SHM) research and development with a focus on our own contribution. During the last decade, the author of this paper has led the deformation monitoring studies of a few major suspension bridges in the UK and China and acquired a large amount of monitoring data sets. Since these slender bridges are very sensitive to small quakes and normally well equipped with a variety of monitoring sensors, such as accelerometers, weather stations, and rover GNSS stations, they can be treated as useful sensor nodes for the detection of earthquakes or other developing environmental phenomena. If used together with the continuously operating GNSS reference stations (CORSs) that cover wide regions they could play a significant role for the integrated monitoring and analysis of bridge deformation and geo-hazardous phenomena, such as earthquakes, tsunamis, flooding, high winds, etc. In this paper, the author introduces the fundamentals and concepts of integrated monitoring and processing for the formation of a regional geo-hazard early warning system using GNSS positioning technology. The architecture of such a system is presented with the findings drawn from analysing real-life data sets.
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Acknowledgments
The author would like to express his appreciations to those who involved in the bridge deformation monitoring exercises from different aspects in the past decade. The UK’s Engineering and Physical Sciences Research Council, and the former Ministry of Construction of China are acknowledged for the provision of two dedicated research grants.
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Meng, X. (2013). From Structural Health Monitoring to Geo-Hazard Early Warning: An Integrated Approach Using GNSS Positioning Technology. In: Krisp, J., Meng, L., Pail, R., Stilla, U. (eds) Earth Observation of Global Changes (EOGC). Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32714-8_19
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DOI: https://doi.org/10.1007/978-3-642-32714-8_19
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