Damage identification based on transfer entropy and improved surrogate data method

被引:1
|
作者
Ye C. [1 ]
Liu G. [1 ]
He X. [2 ]
Xie Z. [3 ]
Wang Z. [1 ]
机构
[1] College of Civil Engineering and Architecture, Zhejiang University, Hangzhou
[2] Institute of Engineering Mechanics, China Earthquake Administration, Harbin
[3] Zhejiang Institute of Hydraulics & Estuary, Hangzhou
来源
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | 2019年 / 50卷 / 12期
基金
中国国家自然科学基金;
关键词
Damage identification; Damage index; Improved surrogate data method; Nonlinear damage; Transfer entropy; Wind turbine tower flange damage;
D O I
10.11817/j.issn.1672-7207.2019.12.012
中图分类号
学科分类号
摘要
In order to improve the accuracy and reliability of the structural damage identification by the transfer entropy method, a damage index combined with a certain level of confidence was proposed. The range of the confidence interval was determined from the relative baseline data and the confidence level, and the absolute values of the difference between the transfer entropy calculated from the surrogate data and the transfer entropy calculated from the original data were calculated at each time delay, and the absolute values that fall outside the bounds of the confidence interval were weighted and summed. The damage identification of the numerical model of cracked beams was studied by using the transfer entropy and the improved surrogate data method. The method was used to further identify the damage of the wind turbine tower with flange damage. The results show that the damage index values of the measuring point groups near the crack on the cantilever beam are positively correlated with the crack length. The length change of the crack is identified by using the damage index, and the effectiveness of the algorithm and damage index is verified. The damage index values of the measuring point groups on the wind turbine tower after repairing the flange are relatively small. According to the damage index, the transfer entropy and the improved surrogate data method can be applied to nonlinear damage identification. © 2019, Central South University Press. All right reserved.
引用
收藏
页码:3023 / 3034
页数:11
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