Structural damage identification based on clustering butterfly optimization algorithm of cross-correlation function
ZHOU Hongyuan1, ZHANG Guangcai1, WANG Xiaojuan1, CHEN Fengchen2 , NI Pinghe1
1.MOE Key Lab of Urban Security and Disaster Engineering, Beijing University of Technology,
Beijing 100124, China; 2.CAAC Airport Construction Group Co., Ltd., Beijing 100101, China
Abstract：Here, aiming at the problem of only using output response to identify structural damage under multiple unknown random excitations, a new structural damage identification method using the clustering butterfly optimization algorithm based on cross-correlation function was proposed.The structural damage was considered as simultaneous reduction of mass and stiffness, the cross-correlation function of structural acceleration obtained with measuring and calculating was used to establish the objective function, and the proposed clustering butterfly optimization algorithm was used to do damage recognition.The effectiveness of the proposed method was verified with two numerical simulation examples of a simply-supported beam and a shear type steel frame.The results showed that under multiple unknown random excitations, the structural damage identification method with the clustering butterfly optimization algorithm based on cross-correlation function can not only accurately detect multiple structural damages using finite measured data, but also have better noise robustness.
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