Research on source location method of failure process in complex rock environment

Determining the location of the rupture source is the greatest advantage of the acoustic monitoring method, whose accuracy has a significant impact on monitoring the stability of complex rock mass environment. The traditional location method uses equivalent velocity to determine the source parameters generally, but equivalent velocity is a function relating to source and sensor position, and medium parameters, etc. For a complex rock mass environment, there might exist relatively large error using equivalent velocity to determine the source parameters. To improve the source location accuracy, the source location method based on Dijkstra's algorithm (SLMD) is studied in this paper, which can take full advantage of the velocity information in a complex rock mass environment. Based on SLMD location characteristics, a new source location method (Average Source Location Method, ASLM) is proposed. Combined with two-dimension plane layered models, it is inferred that the location accuracy of ASLM is evidently higher than SLMD. Even if SLMD with high-density grids is used, ASLM still has pronounced advantage of location accuracy and time complexity. For further validation of obtained results through ASLM and conclusions inferred, complex rock mass environment models are used in the laboratory experiment. The research results show that ASLM has a more evident advantage over the Simplex method and Double-Difference method under complex rock mass environments. This research provides a new source location method for the determination of the source parameters, which has significant theoretical and practical meaning for monitoring the stability of complex rock mass environment.

Automated summary

The accuracy of source location in acoustic monitoring is crucial for monitoring the stability of complex rock mass environments. Traditional methods using equivalent velocity may result in relatively large errors in complex rock mass environments. A new source location method based on Dijkstra's algorithm (SLMD) is proposed, which shows significantly higher accuracy than traditional methods, as demonstrated in laboratory experiments.