您当前的位置:
首页 >
文章列表页 >
Optimization of segmented Knothe time function model for dynamic prediction of mining subsidence
更新时间:2026-06-25
    • Optimization of segmented Knothe time function model for dynamic prediction of mining subsidence

    • Vol. 38, Issue 2, Pages: 541-548(2017)
    • DOI:10.16285/j.rsm.2017.02.030    

      CLC: TD325
    • Online First:05 June 2018,

      Published:2017

    移动端阅览

  • ZHANG Bing, CUI Xi-min. Optimization of segmented Knothe time function model for dynamic prediction of mining subsidence[J]. 2017, 38(2): 541-548. DOI: 10.16285/j.rsm.2017.02.030.

  •  
  •  
icon
试读结束,您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束,您可以通过登录账户,到个人中心,购买VIP会员阅读全文。
已是VIP会员?
去登录 >

0

Views

385

下载量

24

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Mechanical response analysis of buried pipeline crossing mining subsidence area
Richards model of surface dynamic subsidence prediction in mining area
Study on a new probability integral 3D model for forecasting solution mining subsidence of rock s
Analysis of space and layer face effects on mining subsidence numerical calculation
Measurement and prediction of the transientsurface movement and deformation induced by mining under thick alluvium

Related Author

ZHANG Jian-qiang
SHUAI Jian
WANG Xiao-lin
DENG Ka-zhong
WANG Zheng-shuai
JIANG Zai-wen
YANG Chun-he
JIANG De-yi

Related Institution

Petroleum Prospecting and Design Institute, Zhongyuan Petroleum Exploration Bureau
Faculty of Mechanical and Electrical Engineering, China University of Petroleum
Key Laboratory of Resource and Environment Information Engineering of Jiangsu Province, China University of Mining and Technology
School of Environment and Spatial Informatics, China University of Mining and Technology
The Southeast Branch, Chongqing Expressway Development Company Ltd
0