High-resolution ultrasonic imaging technology for the damage of concrete structures based on total focusing method. (January 2023)

• Record Type: Journal Article
• Authors: Ge, Lulu; Li, Qishen; Wang, Zhigang; Li, Qiufeng; Lu, Chao; Dong, Dexiu; Wang, Haitao
• Is Part Of: Computers & electrical engineering. Volume 105(2023)
• Publication Date: 2023-01
• Subjects: Ultrasonic detection -- Concrete structure -- Total focusing method -- Signal-to-noise ratio; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2022.108526
• Languages: English
• ISSNs: 0045-7906

Abstract

Highlights: The TR algorithm and the PCI algorithm are applied to the concrete detection to realize the organic combination of both and TFM to improve the acoustic focusing problem while suppressing the structural noise and enhancing the SNR. The reasons for the offset of defects, steel bar and bottom position in the formed image were analyzed and corrected by using the concrete bottom position as a reference. The images in the figure are all envelope imaging results. Taking The use of the envelope can avoids the errors caused by delay and phase change, so that the original positive and negative alternating signal amplitude are becomes greater than or equal to zero, preventing the signal superposition to drown out the defect signal. Abstract: Concrete has diverse internal acoustic interface, and the scattering of ultrasonic wave is serious and complicated. Based on total focusing method (TFM) imaging, this paper investigates the concrete inspection resolution optimization method. Firstly, the reinforced concrete model was simulated, using time reversal (TR) algorithm to process the signal, the defects and rebars signal amplitudes increased by 7.6 dB and 4.7 dB, respectively. Then in order to reduce the structural noise, the phase coherence imaging (PCI) algorithm was applied, resulting in a signal-to-noise ratio (SNR) improvement of about 22.2 dB on average. Finally, the imaging positions were corrected. In the experiment, to eliminate the influence of the probe ringing on the detection signal, digital filtering was introduced to restore the signal wave packet, and the image SNR was improved by 3.2 dB after TR processing and by 9.4 dB after PCI processing. Graphical abstract: The TFM imaging results of concrete inspection. (a) Schematic of concrete test block model;(b) Original imaging; (c) Compensated imaging; (d) TR-processed imaging;(e) PCI-processed imaging;(f) Position correction imaging map. Image, graphical abstract