Research on the F-K Domain Multimodal Damage Detection Imaging Fusion Method in Metal Plate
Research on the F-K Domain Multimodal Damage Detection Imaging Fusion Method in Metal Plate
复制标题
金属板材F-K域多模态损伤检测成像融合方法研究
DOI：
10.1007/s12666-022-02653-y
复制
发表时间：
2022-06
期刊：
影响因子：
--
通讯作者：
Gorgin Rahim
中科院分区：
文献类型：
--
作者：
Wang Ziping;Fei Yue;Li Bingqian;Zhou Ai;Gorgin Rahim
金属板式结构在航空航天、高速铁路、土木工程等领域得到了越来越广泛的应用。在长期服役过程中，这种结构容易受到外界载荷冲击、化学腐蚀等影响而产生裂缝、剥落、疲劳等损伤。一个重大的挑战是找到并确定小损伤的位置。针对这一问题，采用了频率-波数(f-k)域滤波方法。根据导波传播方向与频率波数矩阵的对应关系，结合同一频率下不同模式导波波数差异的特点，构造三维窗函数，实现不同模式及其对应损伤反射信号的提取。共源法(CSM)的时域和f-k域成像方法被用于实现损伤成像。最后，利用数据融合成像方法对不同模式的损伤成像结果进行加权，进一步提高了损伤成像的精度。
The metal plate structure is more and more widely used in many fields, such as aerospace, high-speed railway, civil engineering, etc. In the process of long-term service, this structure is susceptible to cracks, spalling, fatigue, and other damages caused by external load impact, chemical corrosion, and other effects. A significant challenge is to find and determine the location of small damage. Aiming to address this problem, the frequency-wavenumber (f-k) domain filtering method is adopted. According to the corresponding relationship between the propagation direction of the guided wave and the frequency wavenumber matrix and combined with the characteristics of the difference in wavenumber of different modes of guided waves at the same frequency, a three-dimensional window function is constructed to realize the extraction of different modes and their corresponding damage reflection signals. The Common Source Method (CSM) time domain and f-k domain imaging methods have been used to achieve damage imaging. Finally, the data fusion imaging method has been used to weight the damage imaging results of different modes to further improve the accuracy of damage imaging.
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DOI：
10.1177/1475921715623359
发表时间：
2016-01-01
影响因子：
6.6
作者：
He, Jiaze;Yuan, Fuh-Gwo
通讯作者：
Yuan, Fuh-Gwo
影响因子：
4.1
作者：
J. P. Koduru;Sepandarmaz Momeni;J. Rose
通讯作者：
J. P. Koduru;Sepandarmaz Momeni;J. Rose
影响因子：
1.6
作者：
R. Xu;Z. C. Wei;F. S. Li
通讯作者：
R. Xu;Z. C. Wei;F. S. Li
DOI：
10.1177/1475921705052276
发表时间：
2005-06
期刊：
Structural Health Monitoring
影响因子：
--
作者：
S. Sundararaman;D. Adams;Elias J. Rigas
通讯作者：
S. Sundararaman;D. Adams;Elias J. Rigas
影响因子：
2.7
作者：
Sheng Sang;E. Sandgren;Ziping Wang
通讯作者：
Sheng Sang;E. Sandgren;Ziping Wang