Tan D.-M.,Hubei Engineering University |
Qu W.-L.,Hubei Engineering University |
Zhang J.-B.,Wuhan Army General Hospital |
Liu J.,Hubei Engineering University
Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology | Year: 2012
According to the characteristics of long-span cable-stayed bridge, damage identification of cable of long span cable-stayed bridge is proposed by fuzzy pattern recognition theory. In the damage identification process, the effects of the cable damage on natural frequency of structure is analyzed, and the normalized frequency difference of the structural natural vibration frequency between damage and intact structure is acted as the damage index, which is used as a subset of fuzzy pattern recognition, and then using fuzzy pattern recognition method to identify the location and extent of the cable damage. In order to prove the method, the numerical simulation is established of long-span cable-stayed bridge model for Tianxingzhou, and taking into account the impact of noise, the results show that the methods can be used to identify cable damage effectively.