基于小波神经网络方法的桥梁结构损伤识别研究
发布时间：2018-10-14 14:37
【摘要】：桥梁结构在服役期间会承受复杂的荷载,长期使用会不可避免地出现各种损伤.若这些损伤不能被及时发现和适当处理,将有可能造成严重的事故.因此,桥梁结构的局部小损伤识别对于其及时检修有重要意义.通常,损伤结构的全局动态特性测试可能对局部的结构损伤不敏感,特别是对小损伤,这就需要从结构动态响应信号中提取对损伤更敏感的特征量.建立了桥梁结构的有限元模型并进行动力特性分析;采用小波包分析方法处理结构动态响应信号以构造结构损伤指标,并结合结构损伤指标和人工神经网络方法进行桥梁结构的损伤定位.
[Abstract]:Bridge structures will bear complex loads during service, and various kinds of damage will inevitably occur in long-term service. If these injuries are not detected and properly dealt with in time, serious accidents may occur. Therefore, the identification of local small damage of bridge structure is of great significance for its timely repair. In general, the global dynamic characteristics of damaged structures may be insensitive to local structural damage, especially to small damage, which requires the extraction of more sensitive characteristics from structural dynamic response signals. The finite element model of bridge structure is established and the dynamic characteristics are analyzed. The wavelet packet analysis method is used to deal with the structural dynamic response signal to construct the damage index of the structure. Combined with structural damage index and artificial neural network method, the damage location of bridge structure is carried out.
【作者单位】： 西北工业大学力学与土木建筑学院;广东省建工设计院有限公司;
【基金】：高校博士学科点专项科研基金(优先发展领域)(20126102130004) 中央高校基本科研业务费专项资金资助(3102015BJ(Ⅱ)MYZ13)
【分类号】：U446
，
本文编号：2270768
[Abstract]:Bridge structures will bear complex loads during service, and various kinds of damage will inevitably occur in long-term service. If these injuries are not detected and properly dealt with in time, serious accidents may occur. Therefore, the identification of local small damage of bridge structure is of great significance for its timely repair. In general, the global dynamic characteristics of damaged structures may be insensitive to local structural damage, especially to small damage, which requires the extraction of more sensitive characteristics from structural dynamic response signals. The finite element model of bridge structure is established and the dynamic characteristics are analyzed. The wavelet packet analysis method is used to deal with the structural dynamic response signal to construct the damage index of the structure. Combined with structural damage index and artificial neural network method, the damage location of bridge structure is carried out.
【作者单位】： 西北工业大学力学与土木建筑学院;广东省建工设计院有限公司;
【基金】：高校博士学科点专项科研基金(优先发展领域)(20126102130004) 中央高校基本科研业务费专项资金资助(3102015BJ(Ⅱ)MYZ13)
【分类号】：U446
，
本文编号：2270768
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