An optimized observation system and inversion method for fault detection based on surface-wave while tunneling

IF 2.2 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
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引用次数: 0

Abstract

Understanding geological structures ahead of the tunnel face is important for safe and efficient construction of the urban tunnel. The surface-wave while tunneling (SWT) method, using drilling noise by shield machine as source, is expected to dynamically predict the adverse geologies in front of the tunnel face. Observation system and inversion method are keys for SWT. To improve the imaging accuracy of the geological conditions, it is urgent to optimize the observation system for data acquisition and inversion method for velocity inversion, especially for the utilization of multi-modes surface-waves. For observation system, several key parameters (minimum source-geophone distance, length and interval of survey line) are optimized to obtain sufficient information of dispersion curves. Then observation systems for source at different depth were optimized, supporting for geological detection using surface-waves generated by underground drilling noise. For velocity imaging, numerical simulations are studied to reveal the applicability of typical inversion methods for multi-modes of surface wave, and particle swarm optimization (PSO) algorithm is optimized for velocity inversion due to its advantages of stable calculation and good accuracy. On this basis, SWT was optimized both in data acquisition and velocity inversion for better understanding geological condition both in buried depth and detection distance. Then the improved method was applied in the Jinan tunnel and successfully detected a fault, providing geological information for construction safety and verifying the feasibility.

基于面波而隧穿的故障检测优化观测系统和反演方法
了解隧道工作面前方的地质结构对于安全高效地建造城市隧道非常重要。以盾构机钻孔噪声为声源的地表波掘进(SWT)方法有望动态预测隧道工作面前方的不良地质。观测系统和反演方法是 SWT 的关键。为了提高地质条件的成像精度,迫切需要优化数据采集的观测系统和速度反演的反演方法,特别是多模式面波的利用。在观测系统方面,需要优化几个关键参数(最小声源-检波器距离、测线长度和间隔),以获得足够的频散曲线信息。然后对不同深度声源的观测系统进行了优化,以支持利用地下钻井噪声产生的面波进行地质探测。在速度成像方面,通过数值模拟研究揭示了典型反演方法对多模式面波的适用性,并优化了粒子群优化算法(PSO),该算法具有计算稳定、精度高的优点,可用于速度反演。在此基础上,对 SWT 的数据采集和速度反演进行了优化,以更好地了解埋深和探测距离的地质条件。随后,改进后的方法被应用于济南隧道,并成功探测到断层,为施工安全提供了地质信息,验证了其可行性。
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来源期刊
Journal of Applied Geophysics
Journal of Applied Geophysics 地学-地球科学综合
CiteScore
3.60
自引率
10.00%
发文量
274
审稿时长
4 months
期刊介绍: The Journal of Applied Geophysics with its key objective of responding to pertinent and timely needs, places particular emphasis on methodological developments and innovative applications of geophysical techniques for addressing environmental, engineering, and hydrological problems. Related topical research in exploration geophysics and in soil and rock physics is also covered by the Journal of Applied Geophysics.
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