钢箱梁桥海量应变监测数据分析与疲劳评估方法研究

发布时间：2018-06-15 08:10

本文选题：桥梁工程 + 结构健康监测　；参考：《工程力学》2014年07期

【摘要】：海量监测数据的分析与应用是桥梁结构健康监测研究中的重要问题之一,以润扬大桥钢箱梁的长期应变监测数据为研究对象,研究了海量应变监测数据分析与疲劳评估方法。首先,基于Eurocode3规范的S-N曲线和Palmgren-Miner准则建立了焊缝疲劳损伤分析及寿命预测方法。其次,研究了应力循环的快速提取及应变数据中随机干扰成分的剔除方法。在此基础上,讨论了对公路钢箱梁桥开展长期持续疲劳监测的必要性,并给出了润扬大桥钢箱梁焊缝的疲劳寿命预测值。研究发现,采用MATLAB与C语言联合编程的雨流计数法可快速处理海量应变监测数据;根据对焊缝疲劳损伤的贡献可确定有效应力循环阀值,从而剔除由随机干扰引起的数量极多但幅值较小的应力循环;焊缝疲劳损伤在一年内会发生大幅度的变化,短期应变监测数据可能导致焊缝疲劳寿命评估值出现较大的偏差。
[Abstract]:The analysis and application of mass monitoring data is one of the most important problems in the study of bridge structure health monitoring. Taking the long-term strain monitoring data of Runyang Bridge steel box girder as the research object, the method of mass strain monitoring data analysis and fatigue assessment is studied. Firstly, based on the S-N curve of Eurocode3 specification and Palmgren Miner criterion, the fatigue damage analysis and life prediction method of weld are established. Secondly, the fast extraction of stress cycle and the elimination of random disturbance components from strain data are studied. On this basis, the necessity of long-term continuous fatigue monitoring for highway steel box girder bridges is discussed, and the fatigue life prediction value of steel box girder welds of Runyang Bridge is given. It is found that the rain-flow counting method combined with MATLAB and C language can deal with massive strain monitoring data quickly, and the effective stress cycle threshold can be determined according to the contribution to weld fatigue damage. The fatigue damage of weld will change greatly within one year, and the short-term strain monitoring data may lead to a large deviation in the evaluation value of weld fatigue life.
【作者单位】：长沙理工大学桥梁工程安全控制省部共建教育部重点实验室;东南大学土木工程学院;
【基金】：国家自然科学基金项目(51308073,51378081) 教育部博士点新教师基金项目(20124316120002) 湖南省自然科学青年基金项目(14JJ3087) 湖南省教育厅科学研究项目(13C1017) 桥梁工程安全控制省部共建教育部重点实验室开放基金重点项目(12KB02)
【分类号】：U446

【相似文献】