基于互相关函数的聚类蝴蝶优化算法的结构损伤识别

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振动与冲击 ›› 2021, Vol. 40 ›› Issue (17) : 189-196.

论文

周宏元1，张广才1，王小娟1，陈凤晨2，倪萍禾1

作者信息 +

Structural damage identification based on clustering butterfly optimization algorithm of cross-correlation function

ZHOU Hongyuan1, ZHANG Guangcai1, WANG Xiaojuan1, CHEN Fengchen2 , NI Pinghe1

Author information +

文章历史 +

摘要

针对多点未知随机激励下仅利用输出响应识别结构损伤的问题，提出基于互相关函数的聚类蝴蝶优化算法的结构损伤识别方法。首先将结构损伤考虑为刚度和质量同时损伤，并根据测量和计算得到的加速度互相关函数建立目标函数，并采用所提出的聚类蝴蝶优化算法进行损伤识别。通过简支梁和剪切型钢框架两个数值模拟算例验证方法的有效性，结果表明，多点未知随机激励下使用有限测量数据，基于互相关函数的聚类蝴蝶优化算法的结构损伤识别方法不仅可以精确识别结构的多处损伤，而且具有较好的噪声鲁棒性。

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.

导出引用

周宏元，张广才，王小娟，陈凤晨，倪萍禾. 基于互相关函数的聚类蝴蝶优化算法的结构损伤识别[J]. 振动与冲击, 2021, 40(17): 189-196

ZHOU Hongyuan, ZHANG Guangcai, WANG Xiaojuan, CHEN Fengchen,NI Pinghe. Structural damage identification based on clustering butterfly optimization algorithm of cross-correlation function[J]. Journal of Vibration and Shock, 2021, 40(17): 189-196

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