A REMOTE BRIDGE HEALTH MONITORING SYSTEM USING COMPUTATIONAL SIMULATION AND GPS SENSOR DATA.

Gethin Wyn Roberts, Xiaolin Meng, Michele Meo, Alan Dodson, Emily Cosser, Emanuela Iuliano, Alan Morris, Wendy Atkins

2003 · 18 citations · 1 references

Concepts

Abstract

In 2001, The University of Nottingham was awarded a three year research grant from the UK’s Engineering and Physical Sciences Research Council. The grant, entitled “A Remote Bridge Health Monitoring System Using Computational Simulation and GPS Sensor Data” is collaborative effort with Cranfield University, Railtrack, W S Atkins and Pell Freischman. The work expands and carries forward previous work started at the University of Nottingham in 1994. The work focuses on using kinematic GPS to create and validate finite element models of bridges, allowing the deflections and vibrations of the structures to be analysed for any uncharacteristic movements. The following paper details the progress of the work to date, including the way in which the field data gathered and analysed by the Nottingham group is used by the Cranfied Group in order to assess the quality of structures. In addition, the use of a Cyrax laser scanner to create a finite element model of a bridge is discussed.

References

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