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《工程(英文)》 >> 2023年 第22卷 第3期 doi: 10.1016/j.eng.2022.05.016

基于多声源波速结构成像的岩体异常区域超前辨识方法

a The School of Resources and Safety Engineering, Central South University, Changsha 410083, China
b Institute of Disaster Prevention Science and Safety Technology, Central South University, Changsha 410083, China

收稿日期: 2022-01-17 修回日期: 2022-05-15 录用日期: 2022-05-26 发布日期: 2022-07-19

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摘要

异常区域超前辨识对于预防地下岩土工程灾害具有重要作用。为了满足地下工程高精度探测的需求,本文提出一种层析成像方法以辨识复杂岩体结构中的异常区域,结合了走时层析、阻尼最小二乘法和高斯滤波等技术。该方法克服了空洞区域辨识中速度差限制,减轻了迭代中孤立速度突变所带来的影响。开展了数值和室内实验,量化评估最短路径法(shortest-path method, SPM)、动态最短路径法(dynamic shortest-path method, DSPM)和快速扫描法(fast sweeping method, FSM)等正演模拟的识别精度和计算效率。结果表明,在数值和室内实验中DSPM和FSM均能清晰地辨识出异常区域。陕西震奥矿山现场应用结果证明了该方法可利用矿山开采中爆破、微震等多类声源对矿山内部未知结构进行波速场成像。本研究不仅实现了走时层析成像方法在异常区域识别中的应用,而且为地下岩土工程中潜在风险源的探测提供了新的思路。

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