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基于声发射测试的岩爆倾向性预测研究
引用本文:尚晓吉,张志镇,田智立,林斌.基于声发射测试的岩爆倾向性预测研究[J].金属矿山,2011,40(8):56-59.
作者姓名:尚晓吉  张志镇  田智立  林斌
作者单位:1.中国矿业大学力学与建筑工程学院;2.深部岩土力学与地下工程国家重点实验室
基金项目:国家重点基础研究发展计划(973计划)项目,江苏省普通高校研究生科研创新计划项目
摘    要:为研究岩石岩爆倾向性与加载过程中声发射特征的关联,建立了不同岩爆倾向岩石加载过程中声发射累积数与应变的定量关系,并对3种不同岩爆倾向性岩石单轴加载下的声发射特征进行了实验室试验,验证了其正确性。当岩石岩爆倾向性较强时,随着应变量的增加,主破裂之前只有零星的声发射出现,并且能量非常小,主破裂之后的声发射几乎没有,而主破裂时的声发射数目和能量都非常显著。当岩石岩爆倾向性较弱时,加载不久就有少量声发射出现,在时间上呈现无规则型、没有声发射率显著变化的阶段出现。

关 键 词:岩石力学  声发射  岩爆倾向性  预测

Prediction Research of Rock Burst Tendency Based on the Acoustic Emission Test
Shang Xiaoji,Zhang Zhizhen,Tian Zhili,Lin Bin.Prediction Research of Rock Burst Tendency Based on the Acoustic Emission Test[J].Metal Mine,2011,40(8):56-59.
Authors:Shang Xiaoji  Zhang Zhizhen  Tian Zhili  Lin Bin
Affiliation:1.School of Mechanics & Civil Engineering, China University of Mining and Technology; 2. State Key Laboratory for Geomechanics & Deep Underground Engineering;
Abstract:To study the association between the rock burst proneness of rock and the acoustic emission characteristics in the loading process, the quantitative relationship of acoustic emission cumulative number and the strain in the loading processes with different rock burst proneness are established; Meanwhile, the laboratory experiments on three kinds of rock with different rock burst proneness under uniaxial loading are made to study the acoustic emission characteristics, which have verified its accuracy. The results show that when rock burst proneness of rock is stronger, ,the acoustic emission appear only sporadically before the main failure with the increase of dependent variable, and the energy is less; The acoustic emission after the main failure almost have none, while the acoustic emission number and energy are significant in the main failure. On the other hand, when rock burst proneness is weaker, small acoustic emission have appeared soon after loading, with no rules in time, and there is no stage with significant change of acoustic emission rate.
Keywords:Rock mechanics  Acoustic emission  Rock burst proneness  Prediction
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