首页|Damage Evolution Laws of Low-Strength Molybdenum Ore Under Uniaxial Compression

Damage Evolution Laws of Low-Strength Molybdenum Ore Under Uniaxial Compression

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Abstract To study the damage evolution laws and damage constitutive model of low-strength molybdenum ores, uniaxial compression tests on low-strength molybdenum ores were conducted in combination with acoustic emission technology. The damage variables were defined based on the accumulative ringing counts, and the pre-peak correction factor was introduced to derive a modified damage constitutive model for low-strength molybdenum ores under uniaxial compression, and analyze their acoustic emission characteristics and damage evolution laws. The results showed that the accumulative ringing count and accumulative energy had a sharp increase before the stress peak of low-strength molybdenum ores, which can be used as basis for judging that low-strength molybdenum ores are about to enter the failure stage. The damage evolution process of low-strength molybdenum ores can reasonably reflect their deformation and failure characteristics in different fracture evolution stages. The stress–strain curve was up-concave, and the pre-peak correction factor in the form of logarithmic function is proposed to establish a more reasonable modified damage constitutive model based on accumulative ringing counts under uniaxial compression. The theoretical curve can well simulate the deformation process of low-strength molybdenum ores before the peak stress, and the obtained theoretical curve is basically consistent with the text curve. The results can provide a reference for the stability evaluation and control of the surrounding rock of low-strength molybdenum mines.

Low-strength molybdenum oreUniaxial compressionAcoustic emissionDamage constitutive modelAccumulative ringing countAccumulative energy

Yang Jian、Zhao Kang、Song Yufeng、Wang Qing、Zhao Kangqi、Ji Yongbo

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Jiangxi University of Science and Technology

Lingbao Jinyuan Mining Company Limited

2022

Natural resources research

Natural resources research

SCI
ISSN:1520-7439
年,卷(期):2022.31(3)
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