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Mining-Induced Damage Characteristics of Floors during Fully Mechanized Caving Mining: A Case Study.

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Title: Mining-Induced Damage Characteristics of Floors during Fully Mechanized Caving Mining: A Case Study.
Authors: Jiang, Yulong1, Zhang, Dongfeng1, Wang, Kai1, Zhang, Xiaoqiang1
Source: Advances in Materials Science & Engineering. 10/24/2018, p1-11. 11p.
Subjects: Mines & mineral resources, Caving mining, Strain sensors, Coal mining, Water pressure
Abstract: To study the mining-induced damage characteristics of floors during fully mechanized mining, in situ measurements were performed using the hollow inclusion strain sensors in the No. 100502 (80 m, 180 m) mining face of the Yitang Coal Mine in the Huoxi coal field in the Shanxi Province of China. The in situ measurement results show that the failure depths of the floor rocks in the 100502 (80 m) and 100502 (180 m) mining faces were 12.50∼14.65 m and 17.50∼19.20 m, respectively. The longer the mining face was, the greater the failure depth and the more severe the deformation and damage of the floor rocks were. The failures of the damaged floor rocks can be divided into two types: pull-pressure strain mutations and abnormal mutations. With the advancement of the mining face, the strain increments of floor rocks at different buried depths showed obvious advanced and lagged responses. Specifically, the advanced response distance decreased with a negative exponential trend, while the lagged response distance generally first increased and then decreased as the depth increased. The results can not only provide important guidance to coal mining under water pressure, but also offer a key theoretical reference for failure depth control of floor rocks under similar geophysical conditions. [ABSTRACT FROM AUTHOR]
Copyright of Advances in Materials Science & Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Mining-Induced Damage Characteristics of Floors during Fully Mechanized Caving Mining: A Case Study.
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  Data: <searchLink fieldCode="AR" term="%22Jiang%2C+Yulong%22">Jiang, Yulong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Dongfeng%22">Zhang, Dongfeng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wang%2C+Kai%22">Wang, Kai</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiaoqiang%22">Zhang, Xiaoqiang</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="DE" term="%22Mines+%26+mineral+resources%22">Mines & mineral resources</searchLink><br /><searchLink fieldCode="DE" term="%22Caving+mining%22">Caving mining</searchLink><br /><searchLink fieldCode="DE" term="%22Strain+sensors%22">Strain sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Coal+mining%22">Coal mining</searchLink><br /><searchLink fieldCode="DE" term="%22Water+pressure%22">Water pressure</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To study the mining-induced damage characteristics of floors during fully mechanized mining, in situ measurements were performed using the hollow inclusion strain sensors in the No. 100502 (80 m, 180 m) mining face of the Yitang Coal Mine in the Huoxi coal field in the Shanxi Province of China. The in situ measurement results show that the failure depths of the floor rocks in the 100502 (80 m) and 100502 (180 m) mining faces were 12.50∼14.65 m and 17.50∼19.20 m, respectively. The longer the mining face was, the greater the failure depth and the more severe the deformation and damage of the floor rocks were. The failures of the damaged floor rocks can be divided into two types: pull-pressure strain mutations and abnormal mutations. With the advancement of the mining face, the strain increments of floor rocks at different buried depths showed obvious advanced and lagged responses. Specifically, the advanced response distance decreased with a negative exponential trend, while the lagged response distance generally first increased and then decreased as the depth increased. The results can not only provide important guidance to coal mining under water pressure, but also offer a key theoretical reference for failure depth control of floor rocks under similar geophysical conditions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Advances in Materials Science & Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/2018/1513451
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Mines & mineral resources
        Type: general
      – SubjectFull: Caving mining
        Type: general
      – SubjectFull: Strain sensors
        Type: general
      – SubjectFull: Coal mining
        Type: general
      – SubjectFull: Water pressure
        Type: general
    Titles:
      – TitleFull: Mining-Induced Damage Characteristics of Floors during Fully Mechanized Caving Mining: A Case Study.
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            NameFull: Jiang, Yulong
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            NameFull: Zhang, Dongfeng
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            NameFull: Wang, Kai
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            NameFull: Zhang, Xiaoqiang
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            – D: 24
              M: 10
              Text: 10/24/2018
              Type: published
              Y: 2018
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            – TitleFull: Advances in Materials Science & Engineering
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