Linear annular path damage probability distribution based ultrasonic guided wave method for position imaging and tracking of multi-damage on plate-like carbon fiber composite structure
Linear annular path damage probability distribution based ultrasonic guided wave method for position imaging and tracking of multi-damage on plate-like carbon fiber composite structure
复制标题
基于线性环形路径损伤概率分布的超声导波法板状碳纤维复合材料结构多损伤位置成像与跟踪
DOI:
10.1016/j.tws.2022.110362
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发表时间:
2023-02
影响因子:
6.4
通讯作者:
Mingshun Jiang
中科院分区:
文献类型:
--
作者:
Shanshan Lv;Xiaoshu Qin;Juntao Wei;Lingyu Sun;Lei Zhang;Qingmei Sui;Mingshun Jiang
Plate-like carbon fiber composite is an important component of the main bearing structure of spacecraft and high-speed trains, which has significant advantages in reducing the dead weight and energy consumption, and improving the carrying capacity. However, due to long-term exposure to complex service environments, material properties will be changed, these changes accumulated to a certain extent will lead to structural damage, threatening equipment operation and personal safety. To facilitate the attainment of mastering structural health states, this paper proposes a damage position imaging and tracking technology based on linear annular path damage probability distribution and ultrasonic guided wave for composite plate-like structures. Firstly, according to the dispersion curve, the propagation velocity characteristics of guided wave on composite structure are analyzed. Then, combined with the limited number of measured propagation velocities, the group velocity of the A0 mode in each direction is fitted. Based on the fitted velocity, the time-of-flight (TOF) map for all search points on each path can be pre-constructed. Subsequently, the damage TOFs and absolute TOF difference threshold are combined to obtain the annular damage probability distribution map of each sensing path. Ultimately, the total damage probability of the whole monitoring region is obtained by summing up the path damage probability, which can directly reflect the current damage position. Experimental results show that the proposed method has obvious advantages in imaging and tracking of single or multiple damage positions. It is hoped that the findings in this paper can provide new ideas for long-term damage state monitoring of the composite structures.
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影响因子:
2.1
作者:
Li, Dongsheng;Jing, Zihao;Jin, Mengdao
通讯作者:
Jin, Mengdao
影响因子:
6.3
作者:
De Fenza, A.;Sorrentino, A.;Vitiello, P.
通讯作者:
Vitiello, P.
影响因子:
8.4
作者:
Shengyuan Zhang;C. Li;W. Ye
通讯作者:
Shengyuan Zhang;C. Li;W. Ye
影响因子:
6.3
作者:
Zhang, Jie;Yao, Dan;Xiao, Xinbiao
通讯作者:
Xiao, Xinbiao
影响因子:
4.1
作者:
Nan Yue;Z. S. Khodaei;M. H. Aliabadi
通讯作者:
Nan Yue;Z. S. Khodaei;M. H. Aliabadi