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节理的优势产状是岩石工程中确定硐室布置方式和开挖方向的必需信息。动态聚类法可以完成节理优势组的自动划分,获得节理的优势产状。而如何选取初始优势产状一直是制约动态聚类法应用的重要因素。本文在最大最小距离法中引入密度项,解决了初始优势产状可能出现在低密度区的问题,提出了稳定有效的初始优势产状计算方案。分别对人造和实测节理产状数据进行试算,结果表明,改进后的最大最小距离法能够保证初始优势产状位于密度极大值点附近,且计算结果对密度搜索半径敏感度较低,具有良好的稳定性。基于选定的初始优势产状,进行优势组划分,所得划分结果的目标函数值更接近其最小值,即初始优势组划分更接近其最优分组。这表明,本文提出的改进最大最小距离法能够给出更为有效的初始优势产状。
The advantage of joints is the necessary information to determine the chamber layout and the direction of excavation in rock engineering. The dynamic clustering method can automatically divide the optimal group of joints and obtain the dominant shape of joint. How to choose the initial dominant shape has always been an important factor restricting the application of dynamic clustering. In this paper, the density term is introduced into the maximum and minimum distance method to solve the problem that the initial dominant shape may appear in the low density region, and a stable and effective initial dominant shape calculation scheme is proposed. The experimental data of artificial joints and measured joints are calculated respectively. The results show that the improved maximum-minimum distance method can ensure that the initial dominant position is near the maximum point of density, and the calculation result is less sensitive to the radius of density search. Good stability. Based on the selected initial dominant merit, the dominant group is divided and the resulting objective function value is closer to its minimum, that is, the initial dominant group is closer to its optimal group. This shows that the proposed maximum-minimum-distance method proposed in this paper can give a more effective initial dominant shape.