TANG He-sheng, XUE Song-tao, CHEN Rong, WANG Yuan-gong. Analyses on Structural Damage Identification Based on Combined Parameters[J]. Applied Mathematics and Mechanics, 2005, 26(1): 40-46.
Citation: TANG He-sheng, XUE Song-tao, CHEN Rong, WANG Yuan-gong. Analyses on Structural Damage Identification Based on Combined Parameters[J]. Applied Mathematics and Mechanics, 2005, 26(1): 40-46.

Analyses on Structural Damage Identification Based on Combined Parameters

  • Received Date: 2003-09-06
  • Rev Recd Date: 2004-10-14
  • Publish Date: 2005-01-15
  • The relative sensitivities of structural dynamical parameters were analyzed using a directive derivation method.The neural network is able to approximate arbitrary non-linear mapping relationship,so it is a powerful damage identification tool for undnown systems.A neural network-based approach was presented for the structural damage detection.The combined parameters were presented as the input vector of the neural network,which computed with the change rates of the several former natural frequencies(C),the change ratios of the frequencies(R),and the assurance criterions of flexibilities(A).Some numerical simulation examples,such as,cantilever and truss with different damage extends and different damage locations were analyzed.The results indicate that the combined parameters are more suitable for the input patterns of neural networks than the other parameters alone.
  • loading
  • [1]
    Masri S F,Chassiakos A G,Caughey T K.Identification of nonlinear dynamic systems using neural networks[J].Journal of Applied Mechanics, ASME,1993,60(1):123—133. doi: 10.1115/1.2900734
    [2]
    Wu X,Ghaboussi J,Garrett J H.Use of neural networks in detection of structural damage[J].Computers and Structures,1992,42(4):649—659. doi: 10.1016/0045-7949(92)90132-J
    [3]
    Doebling S W,Farrar C R,Prime M B,et al.Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review[R]. Los Alamos National Laboratory Report LA-13070-MS, April 1996.
    [4]
    Hush D R,Horne B G.Process in supervised neural networks[J].IEEE Signal Processing Magazine,1993,10(1):8—39.
    [5]
    YUN Chung-bang,Eun Young Bahng.Substructural identification using neural networks [J].Computers & Structures,2000,77(1):41—52.
    [6]
    Bishop C M.Neural networks and their applications[J].Review of Scientific Instrumentation,1994,65(6):1803—1832. doi: 10.1063/1.1144830
    [7]
    Kaminski P C.The approximate location of damage through the analysis of natural frequencies with artificial neural networks[J].Journal of Process Mechanical Engineering,1995,209(2):117—123.
    [8]
    Fox C H.The location of defects in structures: a comparison of the use of natural frequency and mode shape data[A].In:Proceedings of the 10th international Modal Analysis Conference[C]. Schenectady, NY:Union College Press,1992,522—528.
    [9]
    唐和生.结构损伤识别与信号处理[D].博士学位论文.上海:同济大学,2002.
    [10]
    Raghavendrachar M,Aktan A E.Flexibility of multi-reference impact testing for bridge diagnostics[J].Journal of Structure Engineering,1992,118(8):2186—2203. doi: 10.1061/(ASCE)0733-9445(1992)118:8(2186)
    [11]
    Zhao J,DeWolf T.Sensitivity study for vibration parameters used in damage detection[J].Journal of Structural Engineering,1999,125(4):410—416. doi: 10.1061/(ASCE)0733-9445(1999)125:4(410)
    [12]
    The Mathworks.Neural Network Toolbox User's Guide[M].Boston:Mathworks Inc,1994.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2189) PDF downloads(514) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return