The Research On The Rigid Hinge Of A Multi-pylon Cable-stayed Bridge Based On Structural Health Monitoring Data

With the great economy develop ing in C hina during near years, the need of transpor tation infrastructure in China is growing, So we get in a period which could flourish the de velop ment of project item building. More and More super projects are constructed and in used. Some of the super bridges are designed to use for decades or even more than a hundred years. In add ition, many of them are on the ke y node s of the transpor tation network in C hina. So it is very impor tant to ensure the safety of the structures during their operation service period. With the development of technology about data processing, transmission, and date accuracy. the structural health monitoring(SHM) technology gets more and more attention. So many super projects are armed with SHM to monitoring the operation status, and then, we could use the monitoring data to put forward some suggestions on the maintenance of structure, we can also put forward the danger of bridge structure. With the accumulation of data monitoring, more and more researches began to focus on the relationship between the response of bridge structure. The paper is based on the special rigid hinge structure of a multi-pylon cable-stayed br idge which located in Zhejiang province, combined with the data collected by the health monitoring system, a series of research on the effect of temperature and vehicle loa d on the production of rigid hinge was done.The main research contents of this paper are described as follows:The normal correlation pattern between the temperature in the little box girder of the rigid hinge and the displacement of the bearing in the rigid hinge is established. Getting the linear mathematical model of temperature and displacement.Analyse the signal of the displacement of the rigid hinge bearing by principa l compo nent ana lysis(PCA). Elimina ting the compos ition in the signa l that is influe nced by temperature to get the compos ition that influents by the vehicle load. Getting the vertical vibration signal of the rigid hinge, use the RMS of the signal as the value of vehicle load. The non- linear relationship between the vehicle load and the cumulative displacement of the rigid hinge that influenced by the vehicle load is training out by the BP neural network. The non- liner correlation pa ttern is established.As the running state of the rigid hinge of the bridge is easily affected by temperature, it is hard to judge the state of the small bo x girders only base on the Cor V, The PCA was also applied to the strain response. And the feature subspace which mainly reflect the temperature information was obtained. Getting the strain signal which is caused by vertical vibration of the rigid hinge small bo x girder. Compare the shapes of CorV based on measured data and the data after eliminating the temperature effect compo nent. We can find the affect on the CorV of the temperature.