Real three-dimensional volumetric ultrasonic imaging of steel weld defects: exceeding conventional inspection capabilities with a row–column addressed array

Three-dimensional (3D) characterization of weld defects is crucial for reliable integrity assessment and safe operation of critical engineering structures because two-dimensional (2D) ultrasonic imaging often provides incomplete defect information and is prone to missed detection. However, the application of 3D ultrasonic imaging to weld inspection is limited by high structural noise and the reliance of existing approaches on stacked 2D line scans, which fundamentally result in pseudo-3D representations rather than true volumetric imaging. To address these challenges, this paper proposes a 3D volumetric ultrasonic imaging method for steel weld inspection based on a Row–Column Addressing (RCA) array. A volumetric imaging framework is established by modeling ultrasonic propagation paths in a 3D coordinate system. To improve defect visibility in coarse-grained welds, nonconvex overlapping group sparse variational (NOGSV) denoising is applied to Full Matrix Capture (FMC) data, and vector coherence factor (VCF) weighting is further employed to enhance defect contrast in Total Focusing Method (TFM) imaging. Experimental validation on two steel butt-weld specimens containing representative defects demonstrates that the proposed method enables reliable 3D visualization of different defect types and reveals defect characteristics that are difficult or impossible to identify using conventional 2D ultrasonic imaging. High signal-to-noise ratio (SNR) volumetric images are achieved in weld structures, enabling accurate reconstruction of defect 3D geometry and spatial distribution. This study presents the first high-quality real 3D ultrasonic visualization of weld defects, offering an effective new approach for nondestructive testing and 3D characterization of welded structures.

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Publication Details

Journal
Mechanical Systems and Signal Processing
Published
2026-09-08
DOI
https://doi.org/10.1016/j.ymssp.2026.114952
Primary Topic
Ultrasonics and Acoustic Wave Propagation
Type
article
Field-Weighted Citation Impact
0.00

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article

Real three-dimensional volumetric ultrasonic imaging of steel weld defects: exceeding conventional inspection capabilities with a row–column addressed array

Lishuai Liu, Yuncheng Zhang, Jiachen Zhou, Yanxun Xiang et al.
Mechanical Systems and Signal Processing
Ultrasonics and Acoustic Wave Propagation
article

Real three-dimensional volumetric ultrasonic imaging of steel weld defects: exceeding conventional inspection capabilities with a row–column addressed array

Lishuai Liu, Yuncheng Zhang, Jiachen Zhou, Yanxun Xiang, Shijun Wang, Xuan Li
article en

Abstract

Three-dimensional (3D) characterization of weld defects is crucial for reliable integrity assessment and safe operation of critical engineering structures because two-dimensional (2D) ultrasonic imaging often provides incomplete defect information and is prone to missed detection. However, the application of 3D ultrasonic imaging to weld inspection is limited by high structural noise and the reliance of existing approaches on stacked 2D line scans, which fundamentally result in pseudo-3D representations rather than true volumetric imaging. To address these challenges, this paper proposes a 3D volumetric ultrasonic imaging method for steel weld inspection based on a Row–Column Addressing (RCA) array. A volumetric imaging framework is established by modeling ultrasonic propagation paths in a 3D coordinate system. To improve defect visibility in coarse-grained welds, nonconvex overlapping group sparse variational (NOGSV) denoising is applied to Full Matrix Capture (FMC) data, and vector coherence factor (VCF) weighting is further employed to enhance defect contrast in Total Focusing Method (TFM) imaging. Experimental validation on two steel butt-weld specimens containing representative defects demonstrates that the proposed method enables reliable 3D visualization of different defect types and reveals defect characteristics that are difficult or impossible to identify using conventional 2D ultrasonic imaging. High signal-to-noise ratio (SNR) volumetric images are achieved in weld structures, enabling accurate reconstruction of defect 3D geometry and spatial distribution. This study presents the first high-quality real 3D ultrasonic visualization of weld defects, offering an effective new approach for nondestructive testing and 3D characterization of welded structures.

Mechanical Systems and Signal ProcessingVol. 260
East China University of Science and Technology (CN), State Grid Corporation of China (China) (CN), Beibu Gulf University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 19%
Ultrasonics and Acoustic Wave Propagation
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