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Enhancing convergence speed and accuracy of virtual field optimization method for microseismic source location in tunnels
Tunnelling and Underground Space Technology ( IF 6.7 ) Pub Date : 2025-01-20 , DOI: 10.1016/j.tust.2025.106366
Jian He, Huailiang Li, Binhong Li, Nuwen Xu, Junnan Wen, Yuedong Li

Accurate and rapid microseismic source location is the foundation for tunnel rockburst warning. Here, we present a novel location strategy that employs an improved mayfly algorithm (IMA) to enhance the convergence speed and accuracy of the virtual field optimization method (VFOM) for tunnel microseismic events. By optimizing the initial position of the mayfly population and the moving velocity of mayfly personals, we develop an IMA with superior convergence speed in searching for source locations. The proposed method utilizes paired microseismic receivers in the tunnel monitoring array to create hyperbolic surfaces. Then, the IMA is employed to rapidly and accurately determine the intersection point of all hyperbolic surfaces, defining it as the microseismic source location. We compare the IMA-VFOM with different error levels in seismic wave velocity or arrival time against other traditional location approaches based on travel time differences. The results confirm that the IMA-VFOM’s convergence speed is, on average, more than 4 times that of the MA-VFOM algorithm. Compared to conventional methods, the IMA-VFOM method demonstrates higher location accuracy and stability. The average location error of the proposed method is 4.0043m when applied to real rockburst microseismic events in tunnels.

中文翻译:


提高隧道微震源定位虚拟场优化方法的收敛速度和精度



准确快速的微震震源定位是隧道岩爆预警的基础。在这里,我们提出了一种新的定位策略,该策略采用改进的蜉蝣算法 (IMA) 来提高隧道微震事件虚拟场优化方法 (VFOM) 的收敛速度和准确性。通过优化蜉蝣种群的初始位置和蜉蝣个体的移动速度,我们开发了一种在搜索源位置时具有卓越收敛速度的 IMA。所提出的方法利用隧道监测阵列中的成对微震接收器来创建双曲线表面。然后,使用 IMA 快速准确地确定所有双曲表面的交点,将其定义为微震源位置。我们根据旅行时间差异将地震波速度或到达时间不同误差级别的 IMA-VFOM 与其他传统定位方法进行了比较。结果证实,IMA-VFOM 的收敛速度平均是 MA-VFOM 算法的 4 倍以上。与传统方法相比,IMA-VFOM 方法表现出更高的定位精度和稳定性。该方法应用于隧道中真实的岩爆微震事件时,平均定位误差为 4.0043m。
更新日期:2025-01-20
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