Sparse TFM imaging of different-scale phased array based on the DWSO algorithm

被引:2
|
作者
Wei, Zhengbo [1 ]
Zhu, Wenfa [1 ,2 ]
Zhang, Hui [1 ]
Chai, Xiaodong [1 ]
Qi, Weiwei [1 ]
Fan, Guopeng [1 ]
Zhang, Haiyan [3 ]
机构
[1] Shanghai Univ Engn Sci, Sch Urban Rail Transportat, Shanghai, Peoples R China
[2] East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai, Peoples R China
[3] Shanghai Univ, Sch Commun & Informat Engn, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Ultrasonic phased array; total focus imaging; sparse array; the DWSO algorithm; OPTIMIZATION; DEFECTS; MATRIX; DESIGN;
D O I
10.1080/10589759.2024.2387742
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Using sparse matrix for total focusing method (TFM) imaging can improve computational efficiency in non-destructive testing (NDT). In sparse matrix design, binary particle swarm optimisation (BPSO) and genetic algorithm (GA) often fall into local optimal solution, and the computational efficiency decreases significantly with the expansion of array scale. In this paper, a discrete war strategy optimisation (DWSO) is proposed to realise sparse array ultrasonic imaging. This method uses equidistant scatter mapping to real-number encode the array position and limit the search range. Then, the fitness function is constructed with low side lobe peak and narrow main lobe width to obtain the optimal array element distribution. Experiments on standard test block demonstrate the DWSO algorithm has a narrower main lobe width and lower side lobe peaks than BPSO and GA. The imaging time of the sparse array constructed by this algorithm is reduced by more than 65% compared with the full array. As array scale grows, the running time variation of the proposed method is reduced by 73.2% and 77.3% compared with GA and BPSO, which has good adaptability and provides theoretical support for real-time defect detection.
引用
收藏
页数:17
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