Identification Method of Bearing Separation of Curved Girder Bridge Based on Statistics Indicator
In order to quickly assess the health status of curved continuous girder bridge bearings,a method for identifying bridge bearing separation is proposed based on time-history statistical indicators.Firstly,the 20 time-history statistical indicators of the acceleration signal of the bridge deck measurement point under driving excita-tion are extracted.Using probability statistics,the confidence interval for each statistical indicator is obtained.Then,the entropy method is used to determine the weight distribution value of each statistical index,according to the different sensitivity of each time-history statistical index to the bearing separation.Finally,the damage in-dex is calculated based on the number of abnormal indicators at each measuring point,and it is comprehensively judged whether the bearing separation near the measuring point.To verify the effectiveness of the method,a vehicle-bridge coupling dynamics model is established for analysis and verification using a 3×25 m curved con-tinuous girder bridge as the engineering background.The results show that this method can accurately identify the location of the damaged bearing,and can effectively identify minor damage.Compared with the middle bear-ing damage,the time-history statistical indicators is more sensitive to the end bearing damage.
damage identificationvehicle-bridge coupling modeltime history statistics indicatorbearing separation
NETL
NSTL
万方数据
维普
