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    基于尾波干涉的隧道锚杆支护体系早期损伤监测与反演研究

    Study on Early Damage Monitoring and Inversion of Tunnel Bolt Support System Based on Coda Wave Interferometry

    • 摘要: 随着我国隧道工程建设的突飞猛进,及时监测并发现围岩早期损伤位置和尺寸是现代结构工程可持续发展的一个重要命题.隧道围岩由于孔隙、纹理发育等因素被视为强散射体,传统检测手段对于早期微小扰动的监测具有局限性.以对多重散射介质敏感的尾波干涉技术作为主要研究手段,通过仿真模拟了围岩不同工况下尾波的传播规律,编写Python脚本投放围岩散射体模型,研究了传感器位置优化、模型局部损伤、支护结构局部失效等工况下尾波的传播规律;使用稀疏重构算法进行了二维反演成像,并与超声直达波反演结果进行了对比,实现了对锚杆支护体系损伤的早期监测与定位.

       

      Abstract: With the rapid advancement in China’s tunnel engineering field,timely monitoring and detection of the early location and size of damages in surrounding rock is an important proposition for the sustainable development of modern structural engineering.Tunnel surrounding rock is regarded as a strong scattering medium due to factors such as pore space and textural development,and traditional detection methods have limitations in monitoring early minor disturbances.The coda wave interferometry technique sensitive to multiple scattering media is used as the main research tool,and the propagation patterns of coda waves under different conditions of surrounding rock are investigated through simulation.A Python script is developed to simulate the scattering model of the surrounding rock.The study explores the propagation patterns of coda waves under various scenarios,including sensor position optimization,local damage in the model,and local failure of the support structure.The two-dimensional inversion imaging is carried out using sparse reconstruction algorithm,and compared with ultrasonic direct wave inversion results.The objective of early monitoring and localization of damage in the anchor support system is achieved.

       

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