复杂结构中异常区域对波速成像影响的量化研究

Longjun Dong, Xiaojie Tong, Ju Ma

工程(英文) ›› 2021, Vol. 7 ›› Issue (7) : 1011-1022.

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PDF(5629 KB)
工程(英文) ›› 2021, Vol. 7 ›› Issue (7) : 1011-1022. DOI: 10.1016/j.eng.2020.06.021
研究论文
Article

复杂结构中异常区域对波速成像影响的量化研究

作者信息 +

Quantitative Investigation of Tomographic Effects in Abnormal Regions of Complex Structures

Author information +
History +

摘要

复杂结构中异常区域的探测是地下空间开发急需解决的技术瓶颈。人工开挖和天然因素导致的地质结构变化大大降低了传统勘探方法的效率。随着实时监测技术的出现,波速场精确成像使异常区域精准探测成为可能。但成像结果易受到多种因素的影响,尤其在小尺度上应用时。为此,我们采用被动声发射监测和主动超声波探测相结合的增强型三维成像技术,对包括初始速度模型、传感器排布、路径覆盖范围、事件的空间分布和定位误差等因素进行研究,共开展相关测试37组,获得了不同因素对成像精度的量化影响。测试结果表明该成像技术可有效应对复杂结构中的异常区域的精准探测,且在初始迭代参数优化后,异常区域的探测精度显著提高。

Abstract

The detection of abnormal regions in complex structures is one of the most challenging targets for underground space engineering. Natural or artificial geologic variations reduce the effectiveness of conventional exploration methods. With the emergence of real-time monitoring, seismic wave velocity tomography allows the detection and imaging of abnormal regions to be accurate, intuitive, and quantitative. Since tomographic results are affected by multiple factors in practical small-scale applications, it is necessary to quantitatively investigate those influences. We adopted an improved three-dimensional (3D) tomography method combining passive acoustic emission acquisition and active ultrasonic measurements. By varying individual parameters (i.e., prior model, sensor configuration, ray coverage, event distributions, and event location errors), 37 comparative tests were conducted. The quantitative impact of different factors was obtained. Synthetic experiments showed that the method could effectively adapt to complex structures. The optimal input parameters based on quantization results can significantly improve the detection reliability in abnormal regions.

关键词

异常区域探测 / 成像作用 / 波速 / 路径

Keywords

Detection of abnormal regions / Tomographic effects / Wave velocity / Ray path

引用本文

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Longjun Dong, Xiaojie Tong, Ju Ma. 复杂结构中异常区域对波速成像影响的量化研究. Engineering. 2021, 7(7): 1011-1022 https://doi.org/10.1016/j.eng.2020.06.021

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