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Quantitative Analysis of Infrared Thermal Images in Rock Fractures Based on Multi-Fractal Theory
Rock disasters caused by rock fractures seriously threaten the safe and sustainable mining of deep coal resources. The infrared thermal imaging of rock fractures has a non-uniform distribution. This is important information for the monitoring and early warning of rock mass instability. In this paper, the multi-fractal theory was introduced to analyze the infrared thermal image obtained from the uniaxial loading of sandstone, which is expected to provide quantitative indicators for the infrared monitoring of rock failure. The results show that the multi-fractal parameters (non-uniformity of temperature) and (frequency diversity of minimum and maximum temperature) can be used to describe the distribution of the thermal field; they are sensitive to the rock macro fracture. Both and are constant during the initial loading stage. When the samples yield and there is a failure in the later stage of loading, the and change abruptly. The sudden change in and can be regarded as the precursor to rock failure. The research results preliminarily show the feasibility and potential of multi-fractal analysis in rock mass disaster monitoring and early warning.
Quantitative Analysis of Infrared Thermal Images in Rock Fractures Based on Multi-Fractal Theory
Rock disasters caused by rock fractures seriously threaten the safe and sustainable mining of deep coal resources. The infrared thermal imaging of rock fractures has a non-uniform distribution. This is important information for the monitoring and early warning of rock mass instability. In this paper, the multi-fractal theory was introduced to analyze the infrared thermal image obtained from the uniaxial loading of sandstone, which is expected to provide quantitative indicators for the infrared monitoring of rock failure. The results show that the multi-fractal parameters (non-uniformity of temperature) and (frequency diversity of minimum and maximum temperature) can be used to describe the distribution of the thermal field; they are sensitive to the rock macro fracture. Both and are constant during the initial loading stage. When the samples yield and there is a failure in the later stage of loading, the and change abruptly. The sudden change in and can be regarded as the precursor to rock failure. The research results preliminarily show the feasibility and potential of multi-fractal analysis in rock mass disaster monitoring and early warning.
Quantitative Analysis of Infrared Thermal Images in Rock Fractures Based on Multi-Fractal Theory
Bin Miao (author) / Xinyu Wang (author) / Hongru Li (author)
2022
Article (Journal)
Electronic Resource
Unknown
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