| 基于RBF神经网络设计的桥梁结构损伤识别方法研究 |
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| 引用本文： | 王根会,武海广,胡良红.基于RBF神经网络设计的桥梁结构损伤识别方法研究[J].兰州铁道学院学报,2006,25(4):18-23. |
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| 作者姓名： | 王根会 武海广 胡良红 |
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| 作者单位： | 兰州交通大学土木工程学院 甘肃兰州730070(王根会，胡良红)，中铁十七局集团有限公司 山西太原030006(武海广) |
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| 摘 要： | 首先根据桥梁结构的动力特性分析,构造了用于结构损伤识别的损伤标示量,并从理论上分析了该参数用于结构损伤识别的可行性.然后,从径向基函数(RBF)神经网络结构、网络设计和网络训练算法等方面论述了RBF神经网络理论,着重说明RBF网络的调用及径向基函数中心和宽度的确定步骤.最后,以一座装配式预应力钢筋混凝土系杆拱桥为工程实例,通过改变构件的弹性模量降低单元刚度来模拟结构损伤程度,并以任意三组向量对网络进行测试,说明了基于频率参数和RBF网络方法的结构损伤识别的可行性和准确性.
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| 关 键 词： | RBF神经网络 损伤识别 桥梁结构 |
| 文章编号： | 1001-4373(2005)04-0018-06 |
| 收稿时间： | 2006-04-11 |
| 修稿时间： | 2006年4月11日 |
Study on the Method of Bridge Structural Damage Identification Based on RBF Neural Network |
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| Wang Genhui,Wu Haiguang,Hu Lianghong.Study on the Method of Bridge Structural Damage Identification Based on RBF Neural Network[J].Journal of Lanzhou Railway University,2006,25(4):18-23. |
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| Authors: | Wang Genhui Wu Haiguang Hu Lianghong |
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| Institution: | 1.School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou 730070,China; 2. China Railway Seventeenth Group Co. Ltd. , Taiyuan 030006, China |
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| Abstract: | In this paper,the dynamic characteristics of bridge structure are analyzed firstly to obtain damage identification parameters,and the feasibility of these parameters to identify structural damage is investigated in theory.And then,the structure design and training algorithm of RBF neural network theory are discussed,emphsized in the calling function and the calculation steps of RBF center and width.A assembled PC tied arch bridge is simulated with numerical method by changing its Young's modulus to reduce element stiffness,and three vector groups are selected at random to test the RBF ANN.The feasibility and accuracy of damage identification of tied arch structure based on frequency parameters and RBF ANN are presented. |
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| Keywords: | RBF ANN damage identification bridge structure |
| 本文献已被 CNKI 维普 等数据库收录！ |
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