Reliability Analysis of Surface Subsidence Based on Response Surface Methodology

被引:0
|
作者
Jin C.-Y. [1 ]
Zhang J.-Y. [1 ]
Yu Z.-J. [1 ]
Wang Q. [1 ]
机构
[1] Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang
关键词
numerical analysis; parameter sensitivity; reliability; response surface method; surface collapse;
D O I
10.12068/j.issn.1005-3026.2023.12.009
中图分类号
学科分类号
摘要
Surface collapse induced by underground mining has become a major safety hazard in mining operations. The traditional concept of rock movement angle is still used to delineate the scope of surface collapse. The delimitation scope often deviates from the actual collapse scope. Based on the reliability index obtained by the response surface method, the calculation method of collapse area is established for improving the above problem. Firstly, the sensitivity analysis of rock mass mechanical parameters is carried out using the discrete element numerical calculation method. The parameters exhibiting strong sensitivity are selected as random variables to fit the response surface function. Then the reliability index of rock mass under different levels of degradation is calculated by MATLAB. Finally, the reliability index is used to categorize different risk levels. The proposed method is used to calculate and analyze the collapse area of Chaoyang xinhua molybdenum mine Co.,Ltd. in Liaoning Province. The numerical calculation results show that the elastic modulus, cohesion and internal friction angle of rock mass are the sensitive parameters influencing the calculation of surface collapse area. By comparing the results with the collapse area scanned by an unmanned aerial vehicle(UAV), it has proved that the calculation method of collapse area proposed is reasonable and accurate, which can provide engineering guidance for the safety management of mining collapse areas. © 2023 Northeast University. All rights reserved.
引用
收藏
页码:1734 / 1742
页数:8
相关论文
共 17 条
  • [1] Kou B F, Huo P L, Shi X., Research on dynamic stability optimization of rock spreader considering prevention of geological subsidence and local collapse in reclamation area [J], Advances in Civil Engineering, 2021, (2021)
  • [2] Kasama K, Furukawa Z, Hu L H., Practical reliability analysis for earthquake ̄induced 3D landslide using stochastic response surface method [ J ], Computers and Geotechnics, 137, (2021)
  • [3] Yang Z Y, Ching J Y., A novel reliability ̄based design method based on quantile ̄based first ̄order second ̄moment [J], Applied Mathematical Modelling, 88, pp. 461-473, (2020)
  • [4] Lu Z H, Hu D Z, Zhao Y G, Et al., Second ̄order fourth ̄moment method for structural reliability [ J ], Journal of Engineering Mechanics, 143, 4, (2017)
  • [5] Zhao W, Su G S, Hu L H., Reliability analysis of suspension bridge using Gaussian process based response surface method [ J], Advanced Materials Research, 860, pp. 2970-2974, (2014)
  • [6] Yang R G, Li W Z, Liu Y Z., A novel response surface method for structural reliability [ J ], AIP Advances, 12, (2022)
  • [7] Song L F, Yu X, Xu B, Et al., 3D slope reliability analysis based on the intelligent response surface methodology [ J], Bulletin of Engineering Geology and the Environment, 80, 2, pp. 735-749, (2021)
  • [8] Li L, Chu X S., Comparative study on response surfaces for reliability analysis of spatially variable soil slope[ J], China Ocean Engineering, 29, 1, pp. 81-90, (2015)
  • [9] Wang Z D, Jiang L M, Xia Y Y, Et al., Numerical analysis of stratified rock slope stability based on 3DEC [ J], Applied Mechanics and Materials, 454, pp. 133-139, (2014)
  • [10] Tao Z G, Han W S, Li M N, Et al., Numerical simulation analysis of layered slope landslide mechanism in open pit mine [ C ], Rock Mechanics and Rock Engineering, pp. 364-374, (2018)