基于静态趋势分离的桥墩倾斜动态预警方法OA

Based on long-term data from a bridge health monitoring system,it is found that the inclination of bridge piers is mainly affected by environmental temperature and random loads,with temperature change having a greater influence on the inclination angle of the piers.To accurately monitor and warn against pier inclination,a linear relationship between the inclination angle of bridge piers and temperature was established.The temperature-induced inclination trend was separated to obtain inclination angle data under random loads.Meanwhile,probabilistic statistical analysis was conducted on the inclination angle of bridge piers under random loads.Based on the statistical results of the inclination angle data after separating the temperature-induced trend,a three-level dynamic early warning curve for the inclination angle of bridge piers was established.The research results show that the inclination angle of the approach bridge piers is significantly affected by temperature,while the influence of random loads on the inclination angle of the approach bridge piers is relatively small.The monitoring data of the inclination angles of each pier,after separating the temperature-induced trends,basically follow a normal distribution.The three-level dynamic early warning curve established after separating the temperature-induced inclination trend of bridge piers can effectively and accurately warn of the real-time operational status of the bridge pier.