Resistivity and thermal infrared precursors associated with cemented backfill mass

Wen-bin Xu , Yun-bin Hou , Wei-dong Song , Yi-pei Zhou , Tian-jun Yin

Journal of Central South University ›› 2016, Vol. 23 ›› Issue (9) : 2329 -2335.

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Journal of Central South University ›› 2016, Vol. 23 ›› Issue (9) : 2329 -2335. DOI: 10.1007/s11771-016-3291-x
Geological, Civil, Energy and Traffic Engineering

Resistivity and thermal infrared precursors associated with cemented backfill mass

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Abstract

The stability of cemented backfill mass is important to keep miners and equipment safe in underground backfill miming. The stress-strain behavior, resistivity and thermal infrared (TIR) characteristics of backfill mass under uniaxial compression were investigated. The monitoring system consisted of a TIR observation system, a stress-strain monitoring system and a resistivity measurement system. Precursory information for impending failure of cemented backfill mass was collected, including TIR, strain and resistivity precursors. The sensitivity and difference of different monitoring information to the same failure event were compared. The results show that the time-space evolution process of the resistivity and TIR is basically the same as the whole process from compression deformation to failure of backfill mass, and the time variation of resistivity and TIR is obviously characterized by stage. The resistivity precursor turns out earlier than the TIR and the strain. The resistivity relation with loading compression is anti-symmetry, decreasing as the compression stress increases before the peak strength of backfill mass. However, when the backfill mass enters into the phase of failure, the resistivity starts to increase as the stress increases. The change of the resistivity growth direction can be regarded as the resistivity-caution-point for the failure of backfill mass under uniaxial compression. It is also indicated that the TIR information mainly represents the surface temperature evolution in the process of compression before the backfill enters into the plastic-yield state. It can be a valuable tool to obtain the precursors for failure of cemented backfill mass for backfill mines.

Keywords

cemented backfill mass / thermal infrared characteristic / resistivity / uniaxial compression

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Wen-bin Xu, Yun-bin Hou, Wei-dong Song, Yi-pei Zhou, Tian-jun Yin. Resistivity and thermal infrared precursors associated with cemented backfill mass. Journal of Central South University, 2016, 23(9): 2329-2335 DOI:10.1007/s11771-016-3291-x

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References

[1]

WeiX-s, XiaoL-zhen. Activation energy of Portland cement hydration by electrical resistivity measurement [J]. Journal of the Chinese Ceramic Society, 2011, 39(4): 676-681

[2]

WeiX-s, XiaoL-z, LiZ-jin. Hyperbolic method to analyze the electrical resistivity curve of Portland cements with super plasticizer [J]. Journal of Wuhan University of Technology: Materials Science Edition, 2008, 23(2): 245-248

[3]

LiZ-j, XiaoL-z, WeiX-sheng. Determination of concrete setting time using electrical resistivity measurement [J]. Journal of Materials in Civil Engineering, 2007, 19(5): 423-427

[4]

ArchieG E. The electrical resistivity log as an aid in determining some reservoir characteristics [J]. Transactions of American Institute Mining, Metallurgical and Petroleum Engineers, 1942, 14(6): 54-62

[5]

SreedeepS, ReshmaA, SinghD. Generalized relationship for determining soil electrical resistivity from its thermal resistivity [J]. Experimental Thermal and Fluid Science, 2005, 29(2): 217-226

[6]

HaoJ-q, FengR, ZhouJ-g, QianS-q, GaoJ-tian. Study on the mechanism of resistivity changes during rock cracking [J]. Chinese Journal of Geophysics, 2002, 45(3): 426-434

[7]

ChenG-y, LinY-mei. Stress–strain–electrical resistance effects and associated state equations for uniaxial rock compression [J]. International Journal of Rock Mechanics & Mining Sciences, 2004, 41(2): 223-236

[8]

ChenG-y, YeZ-p, WangY, GuC-hong. Relative permeability coefficient of concrete through injecting water and electrical resistance monitoring [J]. Journal of Jilin University (Engineering and Technology Edition), 2006, 36(6): 1019-1024

[9]

JiH-g, XiangP, ZhangL, HanF, YangZ-jun. Experiment study and detection analysis of mechanical properties variability rock mass in excavation disturbance [J]. Chinese Journal of Rock Mechanics and Engineering, 2011, 30(11): 2352-2359

[10]

WuL X, WangJ Z. Infrared radiation features of coal and rocks under loading [J]. International Journal of Rock Mechanics & Mining Sciences, 1998, 35(7): 969-976

[11]

WuL X, LiuS J, WuY H, WuH P. Changes in IR with rock deformation [J]. International Journal of Rock Mechanics & Mining Sciences, 2002, 39(6): 825-831

[12]

LiuS-j, WuL-x, ZhangY-bo. Temporal-spatial evolution features of infrared thermal images before rock failure [J]. Journal of Northeast University: Natural Science, 2009, 30(7): 1034-1038

[13]

LiuS-j, ZhangY-b, WuL-x, LiG-l, ChenQ-long. Infrared radiation feature of concrete during fracturing and water seepage process [J]. Chinese Journal of Rock Mechanics and Engineering, 2009, 28(1): 53-58

[14]

MaL-q, LiQ-q, CaoX-q, ZhouTao. Variation characteristics of internal infrared radiation temperature of coal-rock mass in compression process [J]. Journal of China University of Mining & Technology, 2013, 42(3): 331-336

[15]

ZhaoY-x, JiangY-d, HanZ-ru. Experiment study on acoustic and thermal infrared characteristics of bump-prone coal [J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26(5): 965-971

[16]

LiuJ, ZhangQ-l, YangF, ChengY-shui. Test study on the infrared radiation features of high strength concrete during fracturing process under pressure [J]. China Railway Science, 2013, 34(2): 36-40

[17]

ZhaoY-x, JiangY-dong. Acoustic emission and thermal infrared precursors associated with bump-prone coal failure [J]. Internal Journal of Coal Geology, 2010, 83(1): 11-20

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