东南大学学报（自然科学版）2024，Vol.54Issue(2)：268-274,7.DOI:10.3969/j.issn.1001-0505.2024.02.003
可考虑温致位移时滞的大跨桥梁支座劣化预警技术
Early warning technology of long-span bridge bearing deterioration considering time lag effects of thermal-induced displacement
摘要
Abstract
To realize the accurate identification of the performance deterioration of long-span bridge bearing,an early warning method of long-span bridge bearing performance deterioration considering the time lag of the thermal-induced displacement was proposed.Firstly,the mechanical behaviors of bearing sliding under the temperature effect was analyzed,and the variation characteristics of the thermal-induced displacement before and after bearing performance degradation were revealed.Secondly,a gated recurrent unit(GRU)network model considering the time lag effect of the thermal-induced displacement was established to predict the bearing thermal-induced displacement.A warning indicator of the thermal-induced displacement prediction residual er-ror(TDPE)that can eliminate the influence of the temperature effect and highlight the performance degrada-tion of the bearing was proposed.Finally,the effectiveness of the proposed method was verified based on the monitoring data of a long-span bridge.The results show that the GRU network model can eliminate adaptively the time lag effect of the bearing thermal-induced displacement.The bearing displacement can be predicted with high accuracy and the prediction error is within 5 mm.The warning indicator of the TDPE can realize the abnormal incremental warning of the bearing thermal-induced displacement more than 4 mm.关键词
桥梁健康监测/桥梁支座/支座损伤/温度效应/神经网络模型Key words
bridge health monitoring/bridge bearing/bearing damage/temperature effect/neural network model分类
交通工程引用本文复制引用
杨东辉,孙家正,伊廷华,李宏男,李冲,李文杰..可考虑温致位移时滞的大跨桥梁支座劣化预警技术[J].东南大学学报（自然科学版）,2024,54(2):268-274,7.基金项目
国家自然科学基金资助项目(52078102,52250011,52322807). （52078102,52250011,52322807）
