Scholarlink

<p>Accurate detection of internal defects in geometrically complex socket welds is critical for structural integrity but challenging for conventional ultrasonic methods. This study proposes a novel multi-view total focusing method (TFM) approach enhanced by Dempster-Shafer (DS) theory for improved socket weld inspection. An ultrasonic measurement model incorporating sensitivity mapping is first established to guide mode selection and optimize phased array parameters for socket weld configurations. Multi-view TFM images, capturing diverse wave propagation paths (direct, half-skip, full-skip), are then generated. To address conflicts and uncertainties inherent in fusing these complementary views, an improved DS theory framework is introduced for robust data fusion. Experimental results demonstrate that the proposed DS-fused multi-view TFM significantly suppresses artifacts arising from complex geometry and mode conversions compared to single-mode views, while enhancing defect detectability and imaging clarity for reliable socket weld assessment. This integrated approach provides a more effective and reliable solution for non-destructive testing of socket weld joints.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Multi-View Total Focusing Method with Dempster-Shafer Fusion for Nondestructive Testing of Socket Weld

  • 期刊论文

  • 发表日期：

    2026年5月27日

查看全文
  • Shitong Liang,
  • Jingpin Jiao,
  • Changhua Chen,
  • Jianwei Zhang,
  • Tao Liu

摘要

Accurate detection of internal defects in geometrically complex socket welds is critical for structural integrity but challenging for conventional ultrasonic methods. This study proposes a novel multi-view total focusing method (TFM) approach enhanced by Dempster-Shafer (DS) theory for improved socket weld inspection. An ultrasonic measurement model incorporating sensitivity mapping is first established to guide mode selection and optimize phased array parameters for socket weld configurations. Multi-view TFM images, capturing diverse wave propagation paths (direct, half-skip, full-skip), are then generated. To address conflicts and uncertainties inherent in fusing these complementary views, an improved DS theory framework is introduced for robust data fusion. Experimental results demonstrate that the proposed DS-fused multi-view TFM significantly suppresses artifacts arising from complex geometry and mode conversions compared to single-mode views, while enhancing defect detectability and imaging clarity for reliable socket weld assessment. This integrated approach provides a more effective and reliable solution for non-destructive testing of socket weld joints.