会议论文详细信息
21st International Scientific Conference on Advanced in Civil Engineering "Construction - The Formation of Living Environment"
Registration of Submicron Particle Emission for Rock Burst Prediction
土木建筑工程
Victorov, Sergey^1 ; Osokin, Alexander^2 ; Shlyapin, Alexey^2
Institute of Comprehensive Exploitation of Mineral Resources Russian Academy of Sciences, Moscow, Russia^1
Senior Research Assoc., Institute of Comprehensive Exploitation of Mineral Resources Russian Academy of Sciences, Moscow, Russia^2
关键词: Different stages;    Geotechnical monitoring;    Mechanical loading;    Rockburst prediction;    Stress-strained state;    Sub-micron particles;    Sub-micron size range;    Uni-axial compression;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/365/4/042081/pdf
DOI  :  10.1088/1757-899X/365/4/042081
学科分类:土木及结构工程学
来源: IOP
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【 摘 要 】

In recent years the research into the processes of deformation and disintegration of materials at a submicron level has acquired greater importance for different areas of science. Mineral mining at different stages of production is associated with the formation of particles differing in size, including a submicron size range that has a negative environmental effect. However, as it has been proved by laboratory research practice, this effect can be used for rock stress-strained state monitoring both under quasi-static and dynamic types of load. In this work the emphasis is made on the fact that the formation of submicron particles at mechanical loading of rock can be used for its geotechnical monitoring. A new method has been developed for the assessment of the variation of a rock sample stress-strained state implying the registration of the formation of submicron particles from its surface under uniaxial compression. The research results are of scientific and practical interest for solid body disintegration, for rock in particular, and can be used for the development of a new method of virgin rock stress-strained monitoring, registration of dynamic forms of rock pressure occurrence to predict rock burst.

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