| 径向基网络在简支梁损伤识别中的应用 |
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| 引用本文： | 宋夫才,于科峰,姜洪昌.径向基网络在简支梁损伤识别中的应用[J].公路,2011(5):56-61. |
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| 作者姓名： | 宋夫才 于科峰 姜洪昌 |
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| 作者单位： | 青岛市公路规划设计院;烟台市规划设计研究院;青岛市港航管理局; |
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| 摘 要： | 对简支梁进行了损伤分析,研究了不同损伤工况下的频率变化率和模态振型曲率变化,并采用径向基神经网络对结构进行了损伤识别研究,研究中采用了三种方案:仅利用频率变化率;仅用第1阶模态曲率变化;综合使用前3阶频率变化率和模态曲率变化.结果表明,基于动力参数和径向基神经网络的结构损伤识别方法能够准确地识别结构的损伤程度,神经网络...
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| 关 键 词： | 损伤识别 频率 模态曲率 径向基网络 |
Application of RBF Networks to Damage Identification in Simply Supported Beam |
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| SONG Fu-cai,YU Ke-feng,JIANG Hong-chang.Application of RBF Networks to Damage Identification in Simply Supported Beam[J].Highway,2011(5):56-61. |
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| Authors: | SONG Fu-cai YU Ke-feng JIANG Hong-chang |
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| Institution: | SONG Fu-cai1,YU Ke-feng2,JIANG Hong-chang3(1.Qingdao Highway Planning and Design Institute,Qingdao 266061,China,2.Yantai Civil Planning and Design Institute,Yantai 264003,3.Qingdao Port and Shipping Management Bureau,Qingdao 266012,China) |
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| Abstract: | Damage analysis of simply supported beam is presented in this paper,involving rate of frequency change and change of mode shape curvature at different kinds of scenarios.RBF neural networks are adopted to identify the structural damage.Three schemes,which choose different parameters as input of networks,are used in the damage identification process:(1) only rate of frequency change;(2) only the first order mode shape curvature change;(3) the combination of the first three orders of rate of frequency change ... |
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| Keywords: | damage identification frequency mode curvature RBF network |
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