Structural condition assessment of long-span suspension bridges using long-term monitoring data |
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| Authors: | Deng Yang Ding Youliang Li Aiqun |
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| Institution: | Key Laboratory of Concrete ＆ Prestressed Concrete Structures of Ministry of Education, Southeast University, Nanjing 210096, China |
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| Abstract: | This paper focuses on developing an online structural condition assessment technique using long-term monitoring data measured
by a structural health monitoring system. The seasonal correlations of frequency-temperature and beam-end displacement-temperature
for the Runyang Suspension Bridge are performed, first. Then, a statistical modeling technique using a six-order polynomial
is further applied to formulate the correlations of frequency-temperature and displacement-temperature, from which abnormal
changes of measured frequencies and displacements are detected using the mean value control chart. Analysis results show that
modal frequencies of higher vibration modes and displacements have remarkable seasonal correlations with the environmental
temperature and the proposed method exhibits a good capability for detecting the micro damage-induced changes of modal frequencies
and displacements. The results demonstrate that the proposed method can effectively eliminate temperature complications from
frequency and displacement time series and is well suited for online condition monitoring of long-span suspension bridges. |
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| Keywords: | structural health monitoring modal frequency beam-end displacement temperature seasonal correlation suspension bridge |
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