Advance Search
Research Progress on Mine Shaft Liner Breaking Mechanism and Prevention Technologies in Deep and Thick Overburden[J]. COAL SCIENCE AND TECHNOLOGY, 2011, (4).
Citation: Research Progress on Mine Shaft Liner Breaking Mechanism and Prevention Technologies in Deep and Thick Overburden[J]. COAL SCIENCE AND TECHNOLOGY, 2011, (4).

Research Progress on Mine Shaft Liner Breaking Mechanism and Prevention Technologies in Deep and Thick Overburden

More Information
  • Available Online: April 02, 2023
  • Published Date: April 24, 2011
  • The paper introduced the research status and progress on mine shaft liner breaking mechanism and the prevention technology in the deep and thick ove rburden and analyzed the breaking causes of the mine shaft liner in the overburden section.The paper had a discussion on the wide applied the vertical additional force theory and other theories. As pointed out, the mining activities could make underground water table dropping and the strata consolidation and compaction could cause t he overburden subsidence. Therefore a vertical additional force would be effected on the mine shaft liner and the vertical additional force would be the main factor to ca use breakings on the mine shaft liner.According to the cause, the paper had an introduction, analysis and evaluation on the conventional measures to the present preve ntion of the mine shaft liner breaking and had a discussion on the mine shaft liner breaking mechanism and existing problems in the technical prevention measures.
  • Related Articles

    [1]ZHANG Fan, LIU Ying, SONG Hui, ZHANG Jiarong, CHENG Haixing. Super-resolution reconstruction of mine image based on generative adversarial network[J]. COAL SCIENCE AND TECHNOLOGY, 2025, 53(S1): 338-345. DOI: 10.12438/cst.2024-0298
    [2]TIAN Feng, CHEN Tingting, LIU Xiaopei. Retinex-Net mine image enhancement algorithm based on adaptive illumination estimation[J]. COAL SCIENCE AND TECHNOLOGY, 2025, 53(7): 234-248. DOI: 10.12438/cst.2024-0561
    [3]WANG Yuanbin, GUO Yaru, LIU Jia, WANG Xu, WU Bingchao, LIU Meng. Low illumination image enhancement algorithm of CycleGAN coal mine based on attention mechanism and Dilated convolution[J]. COAL SCIENCE AND TECHNOLOGY, 2024, 52(S2): 375-383. DOI: 10.12438/cst.2023-1597
    [4]TIAN Zijian, WU Jiaqi, ZHANG Wenqi, CHEN Wei, ZHOU Tao, YANG Wei, WANG Shuai. An illuminance improvement and details enhancement method on coal mine low-light images based on Transformer and adaptive feature fusion[J]. COAL SCIENCE AND TECHNOLOGY, 2024, 52(1): 297-310. DOI: 10.13199/j.cnki.cst.2023-0112
    [5]ZOU Liang, CHEN Zhifeng, TAN Zhiyi, YUAN Yilin, LEI Meng, HE Kun. Scratch detection and restoration of coal photomicrograph via deep neural network[J]. COAL SCIENCE AND TECHNOLOGY, 2023, 51(S2): 275-284. DOI: 10.13199/j.cnki.cst.2023-0058
    [6]WANG Manli, ZHANG Hang, LI Jiayue, ZHANG Changsen. Deep neural network-based image enhancement algorithm for low-illumination images underground coal mines[J]. COAL SCIENCE AND TECHNOLOGY, 2023, 51(9): 231-241. DOI: 10.12438/cst.2022-1626
    [7]WANG Fei, YAN Jingjing, LI Yucheng, LIU Hongwei, GAO Yabin, Li Ziwen. Study on moisture re-absorption characteristics and equilibrium prediction model of coal dust with different rank[J]. COAL SCIENCE AND TECHNOLOGY, 2023, 51(8): 160-168. DOI: 10.13199/j.cnki.cst.2022-0784
    [8]GONG Yun, XIE Xinyu. Research on coal mine underground image recognition technology based on homomorphic filtering method[J]. COAL SCIENCE AND TECHNOLOGY, 2023, 51(3): 241-250. DOI: 10.13199/j.cnki.cst.2021-0774
    [9]WANG Guofa, LIU Feng, MENG Xiangjun, FAN Jingdao, WU Qunying, REN Huaiwei, PANG Yihui, XU Yajun, ZHAO Guorui, ZHANG Desheng, CAO Xiangang, DU Yibo, ZHANG Jinhu, CHEN Hongyue, MA Ying, ZHANG Kun. Research and practice on intelligent coal mine construction (primary stage)[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (8).
    [10]Restoration Algorithms of Degradation Image in Underground Mine Based on Dark Channel Prior[J]. COAL SCIENCE AND TECHNOLOGY, 2012, (6).
  • Cited by

    Periodical cited type(6)

    1. 张嘉凡, 车虎斌, 张慧梅, 袁超, 刘小宇. 考虑裂隙贯穿度的岩石裂纹演化及声发射特性. 地下空间与工程学报. 2025(03)
    2. 王尚想,李宁. 基于PFC~(3D)模拟的卸荷岩柱破坏规律研究. 现代矿业. 2025(02): 52-56+61 .
    3. 张洁,冯国瑞,郭军,文晓泽,冯文明,张旭,张亮,DIAS Daniel. 法向扰动下裂隙砂岩的剪切力学性质与细观演化特征. 采矿与岩层控制工程学报. 2025(02): 182-197 .
    4. 胡善超,韩金明,程亚飞,亓佳利,黄俊鸿,高志豪,郭世豪,杨磊. 多孔套筒定向压裂力学机制及影响因素分析. 煤炭学报. 2024(08): 3366-3380 .
    5. 彭文彬,郭豪杰. 直剪加载下岩体能量演化及声发射特征数值模拟研究. 甘肃水利水电技术. 2024(10): 31-35 .
    6. 黄丹,许庆梅. 千枚岩力学特性与破坏特征研究. 石家庄铁道大学学报(自然科学版). 2024(04): 57-62 .

    Other cited types(8)

Catalog

    Article views (1087) PDF downloads (1) Cited by(14)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return