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Nondestructive Testing Methods for Underwater Tunnel Linings: Practical Application at Chesapeake Channel Tunnel

机译:水下隧道衬砌的无损检测方法:切萨皮克海峡隧道的实际应用

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摘要

A field evaluation of an underwater tunnel was conducted using a variety of nondestructive testing (NDT) methods, including visual inspection, air- and ground-coupled ground-penetrating radar (GPR), ultrasonic tomography (UST), and impact echo (IE). An air-coupled GPR antenna was used along with visual inspection to identify areas of interest in the Chesapeake Channel Tunnel near Norfolk, Virginia. After potential regions were identified, a robotic scanner with pneumatically driven suction feet was used to automatically scan the area using ground-coupled GPR, UST, and IE. Regions were also evaluated using manually applied UST. These methods combined with powerful software presented the element under inspection as a 3D volume for thorough inspection. This study shows that this particular combination of NDT techniques can efficiently and effectively identify and locate reinforcement, backwall depth, and potentially delaminated areas. By analyzing the phase shift of ultrasonic waves, it is also shown that UST techniques can be used to potentially determine the condition of the backwall and reinforcement bonding.
机译:使用多种无损检测(NDT)方法对水下隧道进行了现场评估,包括视觉检查,空对地耦合的探地雷达(GPR),超声层析成像(UST)和冲击回波(IE) 。使用空气耦合的GPR天线和目视检查,以识别弗吉尼亚州诺福克附近的切塞皮克犬海峡隧道中的关注区域。在识别出潜在区域后,使用带有气动吸脚的机器人扫描仪通过地面耦合的GPR,UST和IE自动扫描该区域。还使用手动应用的UST评估了区域。这些方法与功能强大的软件相结合,将要检查的元素显示为3D体积,以进行全面检查。这项研究表明,这种无损检测技术的特殊组合可以有效地识别并定位钢筋,后墙深度和可能分层的区域。通过分析超声波的相移,还表明UST技术可用于潜在地确定底壁和增强粘结的状况。

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  • 来源
    《Journal of Infrastructure Systems》 |2017年第3期|b4016011.1-b4016011.11|共11页
  • 作者单位

    Texas A&M Univ, College Stn, TX 77843 USA;

    Knott Lab LLC, Centennial, CO 80112 USA|Texas A&M Transportat Inst, College Stn, TX 77843 USA;

    Texas A&M Transportat Inst, College Stn, TX 77843 USA;

    BAM Bundesanstalt Mat Forsch & Prufung, Fed Inst Mat Res & Testing, D-12205 Berlin, Germany;

    Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA;

    Texas A&M Transportat Inst, College Stn, TX 77843 USA;

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