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基于小波神经网络方法的桥梁结构损伤识别研究

肖书敏 闫云聚 姜波澜

肖书敏, 闫云聚, 姜波澜. 基于小波神经网络方法的桥梁结构损伤识别研究[J]. 应用数学和力学, 2016, 37(2): 149-159. doi: 10.3879/j.issn.1000-0887.2016.02.004
引用本文: 肖书敏, 闫云聚, 姜波澜. 基于小波神经网络方法的桥梁结构损伤识别研究[J]. 应用数学和力学, 2016, 37(2): 149-159. doi: 10.3879/j.issn.1000-0887.2016.02.004
XIAO Shu-min, YAN Yun-ju, JIANG Bo-lan. Damage Identification for Bridge Structures Based on the Wavelet Neural Network Method[J]. Applied Mathematics and Mechanics, 2016, 37(2): 149-159. doi: 10.3879/j.issn.1000-0887.2016.02.004
Citation: XIAO Shu-min, YAN Yun-ju, JIANG Bo-lan. Damage Identification for Bridge Structures Based on the Wavelet Neural Network Method[J]. Applied Mathematics and Mechanics, 2016, 37(2): 149-159. doi: 10.3879/j.issn.1000-0887.2016.02.004

基于小波神经网络方法的桥梁结构损伤识别研究

doi: 10.3879/j.issn.1000-0887.2016.02.004
基金项目: 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-MYZ13)
详细信息
    作者简介:

    肖书敏(1991—),女,硕士生(E-mail: 1037270561@qq.com);闫云聚(1954—),男,教授,博士,博士生导师(通讯作者. E-mail: yjyan_2895@nwpu.edu.cn).

  • 中图分类号: TH16;O302

Damage Identification for Bridge Structures Based on the Wavelet Neural Network Method

  • 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.
  • [1] Chang P C, Flatau A, Liu S C. Review paper: health monitoring of civil infrastructure[J].Structural Health Monitoring,2003,2(3): 257-267.
    [2] Taha M M R, Noureldin A, Lucero J L, Baca T J. Wavelet transform for structural health monitoring: a compendium of uses and features[J].Structural Health Monitoring,2006,5(3): 267-295.
    [3] 姜绍飞, 徐云良, 张春梅. 基于小波包分解的数据融合损伤识别方法[J]. 沈阳建筑大学学报(自然科学版), 2006,22(6): 881-884.(JIANG Shao-fei, XU Yun-liang, ZHANG Chun-mei. The damage identification method of data fusion based on wavelet packet decomposition[J].Journal of Shenyang Jianzhu University(Natural Science),2006,22(6): 881-884.(in Chinese))
    [4] 丁幼亮, 李爱群. 基于振动测试与小波包分析的结构损伤预警[J]. 力学学报, 2006,38(5): 639-644.(DING You-liang, LI Ai-qun. Structural damage early warning based on vibration testing and wavelet packet analysis[J].Chinese Journal of Theoretical and Applied Mechanics,2006,38(5): 639-644.(in Chinese))
    [5] Law S S, Li X Y, Lu Z R. Structural damage detection from wavelet coefficient sensitivity with model errors[J].Journal of Engineering Mechanics,2006,132(10): 1077-1087.
    [6] 姜绍飞. 基于神经网络的结构优化与损伤检测[M]. 北京: 科学出版社, 2002.(JIANG Shao-fei.Structural Optimization and Damage Detection Based on Neural Networks [M]. Beijing: Science Press, 2002.(in Chinese))
    [7] Dworakowski Z, Ambrozinski L, Packo P, Dragan K, Stepinski T. Application of artificial neural networks for compounding multiple damage indices in Lamb-wave-based damage detection[J].Structural Control and Health Monitoring,2015,22(1): 50-61.
    [8] Yu S N, Chou K T. Integration of independent component analysis and neural networks for ECG beat classification[J].Expert Systems With Applications,2008,34(4): 2841-2846.
    [9] 虞和济, 陈长征, 张省, 周建男. 基于神经网络的智能诊断[M]. 北京: 冶金工业出版社, 2000.(YU He-ji, CHEN Chang-zheng, ZHANG Xing, ZHOU Jian-nan.Intelligent Diagnosis Based on Neural Networks [M]. Beijing: Metallurgical Industry Press, 2000.(in Chinese))
    [10] Hakim S J S, Abdul R H. Structural damage detection of steel bridge girder using artificial neural networks and finite element models[J].Steel and Composite Structures,2013,4(14): 367-377.
    [11] Arangio S, Bontempi F. Structural health monitoring of a cable-stayed bridge with Bayesian neural networks[J].Structure and Infrastructure Engineering: Maintenance, Management, Life-Cycle Design and Performance,2015,11(4): 575-587.
    [12] Dackermann U, Smith W A, Randall R B. Damage identification based on response-only measurements using cepstrum analysis and artificial neural networks[J].Structural Health Monitoring,2014,13(4): 430-444.
    [13] 闫云聚, 韩莉, 余龙, 姜节胜. 改进的小损伤结构动力学有限元建模方法[J]. 应用力学学报, 2005,22(3): 431-434.(YAN Yun-ju, HAN Li, YU Long, JIANG Jie-sheng. Improved dynamical modeling method for structure with small damage[J].Chinese Journal of Applied Mechanics,2005,22(3): 431-434.(in Chinese))
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出版历程
  • 收稿日期:  2015-07-20
  • 修回日期:  2015-10-23
  • 刊出日期:  2016-02-15

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