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通过数值模拟研究了香港青马大桥桥板结构的损伤位置识别问题。分两阶段来识别青马大桥桥板结构的损伤位置 ,在第一阶段 ,将青马大桥桥板结构划分为许多桥板段 ,并根据部分模态分量导出了一个损伤指标 ,用于指示大概的损伤区域 (桥板段 ) ;第二阶段 ,在已知损伤桥板段后 ,采用神经网络方法来识别具体的损伤构件。数值模拟结果表明 ,采用本文提出的损伤指标、采用神经网络方法 ,分两阶段进行青马大桥桥板结构的损伤位置识别是有可能的。
The damage location identification of bridge deck structure of Hong Kong Tsing Ma Bridge was studied by numerical simulation. In the first stage, the bridge structure of the Tsing Ma Bridge was divided into many bridge sections, and an indicator of damage was derived from the part of the modal components to indicate the approximate damage location of the Tsing Ma Bridge. Of the damage area (bridge section). In the second stage, the neural network method is used to identify the specific damaged component after the damaged bridge section is known. The numerical simulation results show that it is possible to identify the damage location of bridge slab in Qingma Bridge using the damage index proposed in this paper and the neural network method in two stages.