Mathematical forecasting model of safety thickness of roof for mining orebody under the complicated backfilling

GAO Feng; ZHOU Ke-ping; HU Jian-hua; DENG Hong-wei; TANG Gu-xiu

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Mathematical forecasting model of safety thickness of roof for mining orebody under the complicated backfilling

更新时间：2026-06-25

- Mathematical forecasting model of safety thickness of roof for mining orebody under the complicated backfilling
- Vol. 29, Issue 1, (2008)
- 作者机构：
  
  中南大学资源与安全工程学院,长沙,410083
- 作者简介：
- 基金信息：
- DOI：
  CLC： TD325
- Online First：18 July 2013，
  
  Published：2008
- 稿件说明：
移动端阅览
GAO Feng, ZHOU Ke-ping, HU Jian-hua, et al. Mathematical forecasting model of safety thickness of roof for mining orebody under the complicated backfilling[J]. 2008, 29(1).
DOI：

GAO Feng, ZHOU Ke-ping, HU Jian-hua, et al. Mathematical forecasting model of safety thickness of roof for mining orebody under the complicated backfilling[J]. 2008, 29(1). DOI：

摘要

科学合理地确定安全顶板厚度是回采铜坑矿重叠区下92号矿体的基本依据。在分析影响92号矿体顶板稳定性因素的基础上，通过建立有限元数值模型和反复多次模拟计算得出了不同影响因素组合下顶板的安全厚度值。根据计算结果绘制了影响因子与安全顶板厚度的相关关系曲线，利用多元逐步回归分析方法建立了一能够综合反映多因素共同作用下的复杂充填体下矿体开采安全顶板厚度的数学预测模型。结合工程实际及数值模拟的验证结果表明了预测模型的有效性。

Abstract

A scientific and reasonable design of safety thickness of roof is the basis for stoping the orebody No.92 which under the overlap zones in Tongkeng Mine. Based on analyzing the stability factors influencing the roof of orebody No.92

the finite element model is set up; and the simulation is conducted repeatedly. Then value of safety thickness of the roof in conformity to various groups of affecting elements is worked out. According to the simulated results

the curves between every factor and safety thickness of roof are drawn. A mathematical forecasting model of safety thickness of roof under the complicated backfilling

which considers effect among most of the factors

is obtained by stepwise regression multianalysis. The results which combine engineering practice with numerical simulation validate the feasibility of the forecasting model.

关键词

Keywords

references

Views

1724

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Coupling mechanism of seepage and heat transfer in rock fracture based on physics-informed neural networks

Influence of construction gap on the force of steel lining in compressed air storage cavern

Stability and failure mode analysis of tunnel face in composite ground with upper sand and lower clay layers

Characterization method for the three-dimensional soil cutting failure surface based on damage energy dissipation

Pullout simulation on fully grouted rock bolts based on residual shear strength

Related Author

WANG Zhi-liang1

XIAO Zhi-huan1

SHEN Lin-fang1

LI Shao-Jun2

ZHANG Gui-min

SUN Wen-qing

ZHU Ze-fan

SU Yong-kang

Related Institution

Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology

State Key Laboratory of Geomechanics and Geotechnical Engineering Safety, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences

School of Mechanics and Civil Engineering, China University of Mining and Technology

State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology

School of Highway, Chang’an University

AI问答

⁰