红枫湖大桥健康监测系统关键技术研究

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1、武汉理工大学博士学位论文红枫湖大桥健康监测系统关键技术研究姓名：谢晓尧申请学位级别：博士专业：交通信息工程与控制指导教师：严新平20070501武汉理工大学博士学位论文安装一个加速度传感器。如何解决对每一根拉索索力值都能实时了解，本论文提出了用3层的BP神经网络构建红枫湖大桥桥索索力的网络模型，并用多个实测样板训练模型。通过该模型从已知的被监测拉索索力推导出未被监测的斜拉索索力值并用实测数据进行了验证，证明了预测的数据是可信的。对桥梁实施健康监测，最终的目的是进行桥梁结构的损伤诊断，而损伤诊断的关键是

2、桥梁结构模态参数的识别。本论文采用HHT方法，对红枫湖大桥主梁的实时监测的振动信号进行结构模态参数识别，首先是对信号进行EMD，得到IMF分量和残余项，再进行RDT，最后应用HT变换求得系统结构感兴趣的低频及阻尼比。由实测分析可见，HHT方法是一种适合大型桥梁结构模态参数识别的较好方法。关键词：桥梁健康监测：光栅传感器技术；快速傅里叶变换；神经网络；模态参数Ⅱ武汉理工大学博士学位论文AbstractWorldBankissuedaresearchreportonChina'sfreewayrecent

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