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Jiangxi Nonferrous Metals Society
ISSN：1674-9669
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CODEN YJKYA9
Volume 6 Issue 2
Apr.  2015
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Abstract
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GAO Xiang, WU Xianzhen, YIN Libing, LIU Jianwei, LIU Xiangxin. AIRT evolution features in the process of sandstone loading based on gray correlation[J]. Nonferrous Metals Science and Engineering, 2015, (2): 67-71. DOI: 10.13264/j.cnki.ysjskx.2015.02.013
Citation: GAO Xiang, WU Xianzhen, YIN Libing, LIU Jianwei, LIU Xiangxin. AIRT evolution features in the process of sandstone loading based on gray correlation[J]. Nonferrous Metals Science and Engineering, 2015, (2): 67-71. DOI: 10.13264/j.cnki.ysjskx.2015.02.013
shu

AIRT evolution features in the process of sandstone loading based on gray correlation

  • 1.

    Jiangxi Province Key Laboratory of Mining Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China

  • 2.

    Fujian Makeng Mining Co. Ltd., Longyan 364000, China

  • 3.

    Faculty of Mining and Engineering, Hebei United University, Tangshan 063009, China

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  • Received Date: August 26, 2014
  • Published Date: April 29, 2015
    Graphical Abstract
    • Abstract
  • In the study of the effect of stress rock infrared radiation, although AIRT temporal curve is used widely, due to uneven distribution and anisotropy of rock specimen composition and damage, the AIRT tempo - ral curve is always in a variety of forms with common features hidden and difficulty to be classified clearly. The paper, based on infrared observation experiment of siltstone under uniaxial compression, resamples and normalizes the original AIRT time series, then carries out grey correlation clustering analysis and classifies them with development trend of similar degree between sequences as quantitative indicators. Results show that for the test, when the critical value is 0.7, the AIRT temporal curve can be divided into two categories, the first class curve of which accounts for 60 % of all, with obvious infrared abnormal precursors, and the data pro - cessing method has very important reference significance for the AIRT evolution characteristics and catastro - phe precursor quantitative research.
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    • References (17)
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