Research on intelligent identification methods for in-situ stress field base on complex geological body

LI Mao-hui; YANG Zhi-qiang; GAO Qian; ZHAI Shu-hua; WANG You-tuan

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Research on intelligent identification methods for in-situ stress field base on complex geological body

更新时间：2026-06-25

- Research on intelligent identification methods for in-situ stress field base on complex geological body
- Vol. 35, Issue S2, (2014)
- 作者机构：
  
  1. 北京科技大学土木与环境工程学院,北京,100083
  2. 北京科技大学金属矿山高效开采与安全教育部重点实验室,北京,100083
  3. 金川集团股份有限公司,甘肃,金昌,737100
  4. 北京市地质研究所,北京,100120
- 作者简介：
- 基金信息：
- DOI：
  CLC： P315.77
- Online First：12 November 2014，
  
  Published：2014
- 稿件说明：
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LI Mao-hui, YANG Zhi-qiang, GAO Qian, et al. Research on intelligent identification methods for in-situ stress field base on complex geological body[J]. 2014, 35(S2).
DOI：

LI Mao-hui, YANG Zhi-qiang, GAO Qian, et al. Research on intelligent identification methods for in-situ stress field base on complex geological body[J]. 2014, 35(S2). DOI：

摘要

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。

Abstract

In-situ stress is an important factor for underground mining and construction. We usually use back calculation combined with field measurements to obtain the accurate in-situ stress values. Based on the monitoring data of a certain complex copper-nickel mine

we establish a 3D orthogonal numerical model and use this model to obtain the difference between the measured and calculated values

the sum of the squares of the minimum objective function optimization of in-situ stress. Finally

the genetic algorithm of intelligent algorithm is used to optimize the objective function so as to acquire the original rock stress field in this copper-nickel mine. Test sample validation results show that the relative error between measured and calculated values within 10%; it is proved that the intelligent recognition method of in-situ stress is reliable in some extent and will provide a more viable method of in-situ stress field for complex geological body.

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