›› 2014, Vol. 35 ›› Issue (S2): 638-644.

• Numerical Analysis • Previous Articles     Next Articles

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

LI Mao-hui1, 2, YANG Zhi-qiang2, 3, GAO Qian1, 2, ZHAI Shu-hua4, WANG You-tuan1, 2   

  1. 1. School of Civil and Environment Engineering, University of Science and Technology Beijing, Beijing 100083, China; 2. Key Laboratory of Ministry of Education for High-Efficient Mining and Safety of Metal Mines, University of Science and Technology Beijing, Beijing 100083, China; 3. Jinchuan Group Co., Ltd., Jinchang, Gansu 737100, China; 4. Beijing Institute of Geology, Beijing 100120, China
  • Received:2014-03-12 Online:2014-10-31 Published:2014-11-12

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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.

Key words: complex geological body, in-situ stress, intelligent algorithm, inverse recognition

CLC Number: 

  • P 315.77
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