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《Earthquake Engineering and Engineering Vibration》 2003-02
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Two-step detection approach to joint damage in high-rise tower structures by using artificial neural network

QU Weilian1,HUANG Dongmei1,2(1. Institute of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070,China;2.Department of Civil Engineering, Guangxi College of Technology, Liuzhou 545005,China)  
In this paper, the motion characteristic of power line tower is analyzed and then the finite element model of jointdamaged structure is set up according to the damaging characteristic of highrise steel tower structure. A twostep detection approach to delaminating neural network is presented.The first step is to identify a damage area by using the first layer NN based on area subspace rotation algorithm. The second step is to locate a specific damaged joint by using the second layer NN based on strain mode theory. Performance of the proposed damage detection approach is demonstrated by analysis of a plane tower structure. 
【CateGory Index】: TU347
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