To improve the diagnosis accuracy and self-adaptability of fatigue crack in ulterior place of the supporting shaft, time series and neural network are attempted to be applied in research on diag-nosing the fatigue cr...To improve the diagnosis accuracy and self-adaptability of fatigue crack in ulterior place of the supporting shaft, time series and neural network are attempted to be applied in research on diag-nosing the fatigue crack’s degree based on analyzing the vibration characteristics of the supporting shaft. By analyzing the characteristic parameter which is easy to be detected from the supporting shaft’s exterior, the time series model parameter which is hypersensitive to the situation of fatigue crack in ulterior place of the supporting shaft is the target input of neural network, and the fatigue crack’s degree value of supporting shaft is the output. The BP network model can be built and net-work can be trained after the structural parameters of network are selected. Furthermore, choosing the other two different group data can test the network. The test result will verify the validity of the BP network model. The result of experiment shows that the method of time series and neural network are effective to diagnose the occurrence and the development of the fatigue crack’s degree in ulterior place of the supporting shaft.展开更多
针对钢箱梁桁架式纵隔板中出现的早发性、多发性、再发性疲劳开裂病害,分析桁架式纵隔板病害原因,基于能量法,提出将端部刚接斜腹杆变为端部铰接的弹性阻尼支撑处治技术。研制弹性阻尼支撑装置(Elastic-Damping Support Device,EDSD),...针对钢箱梁桁架式纵隔板中出现的早发性、多发性、再发性疲劳开裂病害,分析桁架式纵隔板病害原因,基于能量法,提出将端部刚接斜腹杆变为端部铰接的弹性阻尼支撑处治技术。研制弹性阻尼支撑装置(Elastic-Damping Support Device,EDSD),将斜腹杆局部切除并安装EDSD,通过EDSD中设置的弹性阻尼单元耗散外部荷载输入结构的大部分能量,保障结构在长期车辆荷载等作用下的安全性和正常使用性能。结合某斜拉桥钢箱梁桁架式纵隔板疲劳开裂处治需求,开展了该处治技术实桥应用,并对其进行有限元分析及实桥监测。结果表明:钢箱梁内斜腹杆局部改造安装EDSD后可大幅降低斜腹杆应力水平,有效降低斜腹杆疲劳易损部位开裂风险,增加疲劳寿命;安装EDSD的斜腹杆上的既有裂缝均无扩展。展开更多
基金This project is supported by National Natural Science Fundation of China (No. 50675066)Provincial Key Technologies R&D of Hunan, China (No. 05FJ2001)China Postdoctoral Science Foundation (No. 2005038006).
文摘To improve the diagnosis accuracy and self-adaptability of fatigue crack in ulterior place of the supporting shaft, time series and neural network are attempted to be applied in research on diag-nosing the fatigue crack’s degree based on analyzing the vibration characteristics of the supporting shaft. By analyzing the characteristic parameter which is easy to be detected from the supporting shaft’s exterior, the time series model parameter which is hypersensitive to the situation of fatigue crack in ulterior place of the supporting shaft is the target input of neural network, and the fatigue crack’s degree value of supporting shaft is the output. The BP network model can be built and net-work can be trained after the structural parameters of network are selected. Furthermore, choosing the other two different group data can test the network. The test result will verify the validity of the BP network model. The result of experiment shows that the method of time series and neural network are effective to diagnose the occurrence and the development of the fatigue crack’s degree in ulterior place of the supporting shaft.
文摘针对钢箱梁桁架式纵隔板中出现的早发性、多发性、再发性疲劳开裂病害,分析桁架式纵隔板病害原因,基于能量法,提出将端部刚接斜腹杆变为端部铰接的弹性阻尼支撑处治技术。研制弹性阻尼支撑装置(Elastic-Damping Support Device,EDSD),将斜腹杆局部切除并安装EDSD,通过EDSD中设置的弹性阻尼单元耗散外部荷载输入结构的大部分能量,保障结构在长期车辆荷载等作用下的安全性和正常使用性能。结合某斜拉桥钢箱梁桁架式纵隔板疲劳开裂处治需求,开展了该处治技术实桥应用,并对其进行有限元分析及实桥监测。结果表明:钢箱梁内斜腹杆局部改造安装EDSD后可大幅降低斜腹杆应力水平,有效降低斜腹杆疲劳易损部位开裂风险,增加疲劳寿命;安装EDSD的斜腹杆上的既有裂缝均无扩展。