基于Chan与Geiger混合算法的声发射源定位方法

Geiger定位算法是一种广泛应用的岩石损伤声发射源定位方法，但该算法受初始值影响较大，直接影响了算法的应用效果。文章充分挖掘Chan算法的特性，提出了一种混合Chan与Geiger算法的优化算法，利用Chan算法对损伤声源进行初始定位，再融合Geiger算法进行迭代解算。通过数值计算和断铅实验对所提出的混合算法进行理论分析和实验验证，结果表明：该混合算法简便、易行、结果可靠，能够有效提升声发射源定位算法的收敛速度和定位精度；在传感器数量较少时，该混合算法具有较强的适应性；在布设4个单维传感器的条件下，Chan与Geiger混合算法较最小二乘法与Geiger混合算法，定位结果更加精确，且迭代次数更少，能有效提高计算效率。该研究对于提高岩石、混凝土材料的损伤定位和健康监测的测算精度以及工作效率具有一定的促进意义。

Acoustic emission source location method with Chan and Geiger hybrid algorithm

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.