科研之友
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摘要
Difficulty in identifying deterioration-induced stress from structural health monitoring raises a significant problem in assessing the deterioration of existing bridges by tracing the varying stresses during the in-service period. Also, how to fully utilize the plentiful data collected with a high efficiency and good logic is another important issue especially in long-term monitoring and assessment. To address these problems, a stress-development prediction method is proposed in the present study and its application to stress assessment of existing bridges is given in detail. Firstly, a stress-development prediction model was statistically developed based on massive stress data recorded in time series. By doing this, the structural deterioration-induced stress can be solely identified from other mechanical responses and predicted as a monotone stress-development trend, which can lead to a structural failure. Based on this predicted stress-development trend, i.e., deterioration-development trend, the remaining health life of existing bridges, before they are completely deteriorated, is then calculated and used as an index for stress assessment. A higher value of the index represents a better stress condition for the assessed bridges. The assessment results can be easily updated by using newly monitored stresses. This proposed assessment method can efficiently utilize every monitored data from an overall statistics viewpoint and uncover the hidden deterioration information inside the huge amounts of (stress) data. A case study demonstrates that the proposed method works well with obvious advantages.
