Damage alarming for bridge expansion joints using novelty detection technique based on long-term monitoring data
来源期刊:中南大学学报(英文版)2013年第1期
论文作者:MIAO Chang-qing(缪长青) DENG Yang(邓扬) DING You-liang(丁幼亮) LI Ai-qun(李爱群)
文章页码:226 - 235
Key words:damage alarming; expansion joint; temperature; traffic condition; control chart; suspension bridge
Abstract: Damage alarming and safety evaluation using long-term monitoring data is an area of significant research activity for long-span bridges. In order to extend the research in this field, the damage alarming technique for bridge expansion joints based on long-term monitoring data was developed. The effects of environmental factors on the expansion joint displacement were analyzed. Multiple linear regression models were obtained to describe the correlation between displacements and the dominant environmental factors. The damage alarming index was defined based on the multiple regression models. At last, the X-bar control chart was utilized to detect the abnormal change of the displacements. Analysis results reveal that temperature and traffic condition are the dominant environmental factors to influence the displacement. When the confidence level of X-bar control chart is set to be 0.003, the false-positive indications of damage can be avoided. The damage sensitivity analysis shows that the proper X-bar control chart can detect 0.1 cm damage-induced change of the expansion joint displacement. It is reasonably believed that the proposed technique is robust against false-positive indication of damage and suitable to alarm the possible future damage of the expansion joints.
MIAO Chang-qing(缪长青)1, DENG Yang(邓扬)2, DING You-liang(丁幼亮)1, LI Ai-qun(李爱群)1
(1. School of Civil Engineering, Southeast University, Nanjing 210096, China;
2. School of Civil Engineering and Architecture, Changsha University of Science and Technology,
Changsha 410114, China)
Abstract:Damage alarming and safety evaluation using long-term monitoring data is an area of significant research activity for long-span bridges. In order to extend the research in this field, the damage alarming technique for bridge expansion joints based on long-term monitoring data was developed. The effects of environmental factors on the expansion joint displacement were analyzed. Multiple linear regression models were obtained to describe the correlation between displacements and the dominant environmental factors. The damage alarming index was defined based on the multiple regression models. At last, the X-bar control chart was utilized to detect the abnormal change of the displacements. Analysis results reveal that temperature and traffic condition are the dominant environmental factors to influence the displacement. When the confidence level of X-bar control chart is set to be 0.003, the false-positive indications of damage can be avoided. The damage sensitivity analysis shows that the proper X-bar control chart can detect 0.1 cm damage-induced change of the expansion joint displacement. It is reasonably believed that the proposed technique is robust against false-positive indication of damage and suitable to alarm the possible future damage of the expansion joints.
Key words:damage alarming; expansion joint; temperature; traffic condition; control chart; suspension bridge