关键词: 声发射定位, 未知波速, 粒子群算法, 权重系数

Abstract: To solve the problem that the positioning accuracy of the acoustic emission time difference localization algorithm is affected by many factors such as rock wave velocity in rock mechanics test, an unknown wave velocity acoustic emission localization algorithm based on particle swarm optimization is developed in this paper. The algorithm takes the rock wave velocity as an unknown value, establishing the objective function based on the least squares principle according to the picked time difference, applying the particle swarm optimization algorithm to solve the objective function and find the target position and wave velocity. The weight coefficient is an important factor affecting the accuracy and stability of the algorithm. Firstly, the optimal weight coefficient 0.729 8 is determined by numerical model, which can satisfy the accuracy and stability requirements of the algorithm. The numerical simulation results show that the calculation accuracy based on the selected weight coefficient is higher than the traditional wave velocity algorithm. In order to verify the algorithm in practical application, the lead-breaking test is carried out. It is proved that the algorithm is superior to the traditional wave velocity algorithm.

Key words: acoustic emission localization, unknown wave velocity, particle swarm optimization, weight coefficient