Enhancing convergence speed and accuracy of virtual field optimization method for microseismic source location in tunnels

作     者：He, Jian Li, Huailiang Li, Binhong Xu, Nuwen Wen, Junnan Li, Yuedong 

作者机构：Chengdu Univ Technol State Key Lab Geohazard Prevent & Geoenvironm Prot Chengdu 610059 Peoples R China Chengdu Univ Technol Key Lab Earth Explorat & Informat Technol Minist Educ Chengdu 610059 Peoples R China Sichuan Univ Coll Water Resource & Hydropower State Key Lab Hydraul & Mt River Engn Chengdu 610065 Peoples R China 

出 版 物：《TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY》 (Tunn. Undergr. Space Technol.)

年 卷 期：2025年第158卷

核心收录：

学科分类：08[工学] 0813[工学-建筑学] 0814[工学-土木工程] 

基　　金：National Natural science Foundation of China (NSFC) Distinguished Young Scholar Foundation of Sichuan Province [2021JDJQ0022] 

主　　题：Microseismic source location Virtual field optimization method Improved mayfly algorithm Rockburst event Convergence speed 

摘      要：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 MAVFOM algorithm. Compared to conventional methods, the IMA-VFOM method demonstrates higher location accuracy and stability. The average location error of the proposed method is 4.0043 m when applied to real rockburst microseismic events in tunnels.