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| 基于观测系统优化的弹性波CT法在混凝土防渗墙质量高效检测中的应用 |
| Optimization and application of observation systems for elastic wave CT Testing of concrete cut-off walls |
| 投稿时间：2025-09-01 修订日期：2025-12-12 |
| DOI： |
| 中文关键词: 弹性波CT法 混凝土防渗墙 观测系统 无损检测 图像重建 |
| 英文关键词: Elastic wave CT Concrete cut-off wall Observation system Non-destructive detection Image reconstruction |
| 基金项目:黄河水利科学研究院院科技发展基金专项项目(黄科发202214)；国家自然科学基金联合(U2243229) |
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| 中文摘要: |
| 本研究旨在评估不同观测系统在弹性波CT法检测混凝土防渗墙质量中的适用性，重点分析其对混凝土内部缺陷检测的准确性和可靠性。采用五种不同的观测系统，模拟弹性波源并接收其在混凝土防渗墙中的传播信号。利用最短射线算法和高斯牛顿法重建混凝土防渗墙的内部结构。通过试验对比分析各系统在信号采集、数据处理和图像重建方面的表现。结果显示，当防渗墙深度较浅且现有设备可全覆盖时，固定观测系统表现优异，其反演定位误差可控制在0.5m以内，信噪比高于25 dB，检测精度高；对于墙体深度超过现有设备覆盖范围时，移动观测系统显出明显优势，其中均衡优化移动观测系统更适用于大范围的快速筛查。工程实例表明，采用均衡优化的移动观测系统可成功识别出61m深防渗墙中的局部缺陷。本研究通过对比分析，形成了基于定位误差、波速相对误差和信噪比等指标的观测系统定量选择标准。 |
| 英文摘要: |
| This study aims to assess the applicability of various observation systems for evaluating the quality of concrete cut-off walls using the elastic wave CT method, focusing on their accuracy and reliability in detecting internal defects within the concrete. Five distinct observation system layouts were employed to capture the propagation signals of the simulating elastic wave source within the concrete cut-off wall. The internal structure of the concrete cut-off wall was reconstructed utilizing the shortest-path ray algorithm and the Gauss-Newton inversion method. The performance of each system layout in signal acquisition, data processing, and image reconstruction was compared and analyzed through experiments. The results show that the fixed observation system layout demonstrates superior performance when the depth of the cut-off wall is shallow and the equipment can provide full coverage. The positioning error can be controlled within 0.5 m, with a signal-to-noise ratio higher than 25 dB, ensuring high detection precision. For deep walls exceeding the coverage range of the equipment, mobile observation system layouts show significant advantages. Among them, the balanced and optimized mobile observation system layout is more suitable for rapid, large-scale screening. A practical engineering case confirmed that the balanced and optimized observation system can successfully identify the local defects in a 61 m deep cut-off wall. Through comparative analysis, this study eatablishes a quantitative selection criteria for observation systems based on indicators such as positioning error, relative wave velocity error, and signal-to-noise ratio. |
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