Time-Frequency Response of Acoustic Emission and Its Multi-Fractal Analysis for Rocks with Different Brittleness under Uniaxial Compression

Jianchun Ou, Enyuan Wang () and Xinyu Wang
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Jianchun Ou: State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou 221116, China
Enyuan Wang: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Xinyu Wang: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China

Mathematics, 2023, vol. 11, issue 23, 1-12

Abstract: The occurrence of rock burst hazards is closely related to the brittleness of rocks. Current research has paid less attention to the in-depth relationship between rock brittleness and acoustic emission (AE) signal characteristics and precursor information caused by rock fracture. Therefore, in order to further improve the accuracy of the AE monitoring of rockburst hazards, uniaxial compression tests were carried out and AE were monitored for rocks with different brittleness (yellow sandstone, white sandstone, marble, and limestone) in this paper. The relationship between the mechanical properties and the time-frequency characteristics of the AE was analyzed. In addition, the multi-fractal theory was introduced to further deconstruct and mine the AE signals, and the multi-fractal characteristics of AE from rocks with different brittleness were investigated. The results show that the stronger the brittleness of the rock, the higher the main frequency and main frequency amplitude of the AE. Brittleness is positively correlated with the multi-fractal parameter Δ α (uniformity of data distribution) and negatively correlated with Δ f (frequency difference between large and small data). In addition, the dynamics of Δ α and Δ f provide new indicators for AE monitoring of rock stability, and their abrupt changes can be regarded as precursors of failure. The weaker the brittleness of the rock, the earlier the failure precursor is and the more significant it is. This has potential engineering application value, which can help identify rockburst precursors and take timely protective measures to ensure engineering safety.

Keywords: rockburst; brittleness; acoustic emission; multi-fractal (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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