Abstract: Geiger algorithm is a widely used method for locating acoustic emission sources of rock damage. However, the algorithm is greatly affected by the initial value, which directly affects the application effect of this algorithm. In this paper, by fully exploring the characteristics of the Chan algorithm, an optimization algorithm that combines the Chan and Geiger algorithms is proposed. The Chan algorithm is used to give an initial positioning result of the damage source, and the Geiger algorithm is then used to conduct iterative calculation. The theoretical analysis and experimental verification of the proposed hybrid algorithm are carried out through numerical calculations and lead-breaking experiments. The results show that: the proposed hybrid algorithm is simple, easy to implement, and reliable, and it can effectively improve the convergence speed and positioning accuracy of the source localization algorithm; when the number of sensors is small, the hybrid algorithm still has strong adaptability; with the deployment of four single-dimension sensors, the Chan and Geiger hybrid algorithm is more accurate than the least square method and Geiger hybrid algorithm in positioning results; moreover, the number of iterations is less, which indicates the improvement of the calculation efficiency. The study has certain promotion significance to improve the calculation accuracy and work efficiency of the damage location and health monitoring of rock and concrete materials.