基于SH0导波与频域SAFT成像的储罐底板缺陷检测方法

Defect detection method for storage tank floors based on SH0 guided waves and frequency-domain SAFT imaging

  • 摘要:
    目的 储罐底板在长期服役过程中因腐蚀易发生结构安全风险,传统的储罐底板检测方法存在效率低、停罐清洗、成本高等问题,难以满足现代储罐在线、高效、大面积检测的生产需求,亟需探索一种适用于复杂工况下储罐底板的高灵敏度、高分辨率、远距离检测方法。
    方法 将SH0剪切模态导波与频域合成孔径聚焦技术(Synthetic Aperture Focusing Technique, SAFT)相结合,建立了一种无损检测成像新方法:利用自主研发的磁致伸缩剪切导波换能器激励非频散、低衰减的SH0导波,并创新性地引入频域SAFT进行信号处理与成像重构。通过建立厚度为12 mm钢板的Lamb波与SH0导波频散特性对比模型,明确SH0导波在64 kHz、128 kHz等频段激励下具有优异的传播稳定性与抗干扰能力。在此基础上,构建了包含激励设计、信号采集、频域补偿及SAFT成像的检测流程。
    结果 选取长度为8 000 mm的真实储罐底板样板开展试验验证,分别采用64 kHz、128 kHz换能器进行扫查,结果表明所建检测方法展现出优异性能:64 kHz的低频SH0导波可有效识别2 550 mm处等效横截面损失0.82%的缺陷,128 kHz的高频SH0导波则成功检测出近场区等效横截面损失0.32%~0.59%的小尺寸缺陷。将SH0导波与频域SAFT深度融合,显著提升了储罐底板缺陷成像分辨率与可靠性。
    结论 新建方法在液体环境下表现更优,且计算效率更高,为储罐底板提供了不停罐检测的新途径,并对桥梁、船舶、压力容器等大型板状结构的安全监测具有重要的借鉴意义。

     

    Abstract:
    Objective During long-term service, storage tank floors face structural safety risks from corrosion. Traditional detection methods suffer from low efficiency, require tank shutdowns for cleaning, and incur high costs, hindering online, efficient, and large-area inspection of modern tanks. Thus, there is an urgent need to develop a high-sensitivity, high-resolution, and long-distance detection method suitable for complex operating conditions.
    Methods A novel non-destructive testing and imaging method was established by integrating SH0 guided waves with the frequency-domain Synthetic Aperture Focusing Technique (SAFT). Non-dispersive, low-attenuation SH0 guided waves were excited using a self-developed magnetostrictive shear guided-wave transducer, and frequency-domain SAFT was innovatively introduced for signal processing and imaging reconstruction. By comparing the dispersion characteristics of Lamb waves and SH0 guided waves in a 12-mm-thick steel plate, the superior propagation stability and anti-interference capability of SH0 guided waves at frequencies (64 kHz and 128 kHz) were confirmed. Based on these findings, a detection process encompassing excitation design, signal acquisition, frequency-domain compensation, and SAFT imaging was constructed.
    Results Experimental verification was conducted on an 8 000 mm-long storage tank floor sample using transducers at 64 kHz and 128 kHz. The established detection method demonstrated excellent performance: 64 kHz low-frequency SH0 guided waves effectively identified defects with a 0.82% equivalent cross-sectional loss at 2 550 mm, while 128 kHz high-frequency SH0 guided waves detected small defects with 0.32%–0.59% loss in the near field. The integration of SH0 guided waves with frequency-domain SAFT significantly enhanced defect imaging resolution and reliability.
    Conclusion The new method demonstrates superior performance in liquid environments and greater computational efficiency. It offers a novel solution for non-shutdown detection of storage tank floors and serves as a valuable reference for safety monitoring of large plate-type structures such as bridges, ships, and pressure vessels.

     

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