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基于结构动力参数的RBF损伤辨识方法
引用本文:赵迁乔,靳露,宋夫才. 基于结构动力参数的RBF损伤辨识方法[J]. 特种结构, 2011, 28(1): 14-18
作者姓名:赵迁乔  靳露  宋夫才
作者单位:1. 山东科技大学资源与环境工程学院,青岛,266510
2. 青岛市公路规划设计院,266061
摘    要:本文研究了基于不同结构动力参数的径向基网络损伤辨识方法,并结合简支梁损伤辨识进行了应用.研究发现:(1)径向基网络的输入参数选择对结果有较大影响;(2)使用模态曲率变化作为输入参数的网络辨识效果优于采用频率变化率的辨识效果;(3)综合使用频率变化率和模态曲率变化的网络辨识效果优于单独使用频率变化率或模态曲率的效果.结果...

关 键 词:损伤辨识  径向基网络  动力参数

Application of RBF Networks for Damage Identification in Simply Supported Beam
Zhao Qianqiao,JinLu,Song Fucai. Application of RBF Networks for Damage Identification in Simply Supported Beam[J]. Special Structures, 2011, 28(1): 14-18
Authors:Zhao Qianqiao  JinLu  Song Fucai
Affiliation:Zhao Qianqiao JinLu Song Fucai (1.College of Natural Resources and Environmental Engineering,Shandong University of Science and Technology,Qingdao,266510,2.Qingdao Highway Planning and Design Institute,266061)
Abstract:RBF damage identification based on different structural dynamic parameters is studied in this paper. The method is applied in the damage detection for the simply supported beam.The study reveals that:the input parameters of RBF networks have bigger influence for the identification effect;taking the change of mode shape curvature、as input parameter,the identification effect is better than taking the change of frequency as input parameter;further more,the combination of the frequency change and change of mode shape curvature gives the best results.The research proved that the structural damage can be identified by using RBF networks and dynamic parameters.
Keywords:Damage identification  RBF network  Dynamic parameters  
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