CFRP electrical impedance tomography based on an improved low rank sparse regularization algorithm

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (14) : 151-157.

MA Min,YU Jie,FAN Wenru

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Abstract

Carbon Fiber Reinforced Polymer (CFRP) has been widely used in aerospace field due to its advantages of light weight, high strength and fatigue resistance. In order to ensure the safety of the materials used, the effective detection of CFRP is particularly important. In recent years, Electrical Impedance Tomography (EIT) has become a new method for damage detection and has attracted wide attention due to its low cost and no radiation. Aming at the serious ill-posedness of inverse problem solving of EIT, an improved low-rank sparse regularization algorithm is proposed. Firstly, Lp pseudo-norm is introduced to enhance the sparsity of the solution and improve the reconstruction image accuracy by adjusting the value of p. Secondly, the low-rank constraint using the kernel norm can effectively use the prior information to improve the reconstruction image quality. Finally, the algorithm is solved by Split Bregman method to enhance the real-time performance of the algorithm and keep the imaging speed at 0.06s. Simulation and experimental results show that the improved low-rank sparse regularization algorithm can effectively improve the electrode artifacts, present clearer damage details, and has strong robustness, effectiveness and applicability.

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Carbon Fiber Reinforced Polymer / Electrical Impedance Tomography / low rank sparse / Split Bregman / damage detection

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MA Min,YU Jie,FAN Wenru . CFRP electrical impedance tomography based on an improved low rank sparse regularization algorithm[J]. Journal of Vibration and Shock, 2022, 41(14): 151-157

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