8th European Workshop On Structural Health Monitoring (EWSHM 2016)
5-8 July 2016, Spain, Bilbao
Right Now in Bilbao 04:37 Sat 24
09:50 Wednesday 6. Jul - A3B
Condition Monitoring of a Weak Railway Bridge by Axel Load and Structure Resistance Evaluation
Abstract »In this paper a monitoring concept is introduced, which is developed to guarantee the operation of a weak railway bridge under high traffic volume. A data evaluation is executed after each train passing the bridge by fusing the data from the axel loads as input and the stress reaction of the girders as output. Accurate information about the condition of the bridge is achieved by clustering the date according to axel loads to identify equal train configurations. The general architecture of the monitoring system presented, makes it suitable as a blue print to realize SHM-solutions for similar application scenarios. A main concern of the operator is to identify crack growth at 20 hotspots over one year. Crack growth monitoring in steel structures is challenging, because the sensor system has to be very sensitive to microscopic material changes in a large structure. An accurate method to indirectly measure crack growth is the use of strain gauge sensors in the proximity of an existing crack. The correlation of load and the distribution of forces indicates whether a crack remains constant in length or disturbs the flux of forces. Hence it is evident that training data for each sensor must be acquired before the monitoring system is working in a reliable mode. To enhance the performance of the monitoring a commercial system to measure the axel loads of the passing trains was added. As consequence with this additional data the clustering of train configuration is used to evaluate the strain sensor features at the same load level. The accuracy to determine local changes in the bridge components is increased. A further benefit of the train data is an improved imaging on the deviations in the output data and moreover weighting function are used to model linear regression for the input and output data. Operational effects from temperature are taken into account, but the setup of the monitoring demonstrated a very little impact on this phenomenon. Finally the monitoring system is setup as an online system to give permanent information about possible changes at the hotspots and the behaviour of the structure in general. The system is now operating for over six months and delivers relevant information about the safety on the track to manage the railway traffic. The data information is fundamental to make quick decisions referring to a safety managing plan.
AuthorsVospernig, Michael*Vospernig, Michael*
Michael Vospernig has studied Civil Engeneering at the University of Technology in Vienna and has 8 years experiences in the field of dynamics of structures. He founded the REVOTEC zt gmbh company in 2014 and is managing director with strong interests in monitoring civil structures and the befits of data analysis.
REVOTEC zt gmbh
+436504325843Wagner, RichardWagner, Richard
Hottinger Baldwin Messtechnik GmbH
AustriaGasparin, GeraldGasparin, Gerald