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初始地应力是地下开采及施工所需要考虑的重要影响因素,地应力值的准确获得通常采用现场测量与反演计算结合实现。针对某铜镍矿复杂地质体,在已有监测数据的基础上建立三维正交数值模型,获得监测点的地应力计算值。利用遗传规划程序,回归地应力监测点的地应力与各自变量的函数关系。建立地应力实测值和计算值之差的平方和最小的目标优化函数,使用遗传算法智能算法对目标函数进行优化,最终获得了矿区的原岩应力场。检测样本验证结果显示,计算值与实测值的误差控制在10%以内,一定程度上证明了该地应力场智能识别方法的可靠性,可为以后复杂地质体矿区地应力场的计算提供较为可行的研究方法。
The initial ground stress is an important factor that needs to be considered when underground mining and construction. The accurate calculation of the in-situ stress value is usually achieved by the combination of on-site measurement and inversion calculation. Aiming at the complex geological body of a copper-nickel ore mine, a three-dimensional orthogonal numerical model is established based on the existing monitoring data and the calculated value of the ground stress of the monitoring point is obtained. Using the genetic programming procedure, the functional relationship between the earth stress and each variable of the monitoring points of the return to earth stress is returned. The objective optimization function with the smallest square sum of the difference between measured and calculated stress is established. The genetic algorithm is used to optimize the objective function and finally the original rock stress field is obtained. The verification results of the test sample show that the error between the calculated value and the measured value is controlled within 10%, which proves to some extent the reliability of the intelligent identification method of the stress field in the field and can be more feasible for the later calculation of the in-situ stress field in the complex geological body mining area Research methods.