基于声发射信号处理的含水煤体当量钻屑量反演试验研究

doi:10.3724/1000-6915.jrme.2025.0080

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Abstract To address the challenge posed by agglomerated drilling cuttings under water-rich conditions, which impede the accurate characterization of the true stress state in coal seams, this study conducted true triaxial drilling experiments on coal samples with varying moisture contents. Acoustic emission (AE) signals recorded during drilling were denoised, and key features were extracted and spatially localized. The main findings are as follows: (1) the combined application of Variation mode decomposition-independent component analysis (VMD-ICA) and Fast-Akaike information criterion (Fast-AIC) algorithms effectively suppresses noise and extracts key AE features; (2) the extreme Gradient Boosting (XGBoost) algorithm accurately identifies damage locations in coal under different moisture conditions; (3) damage ellipsoids fitted using the least squares method effectively represent the spatial distribution of damage under true triaxial loading; and (4) based on the equivalent cuttings principle, a quantitative model reconstructs the relationship between cuttings volume and coal failure mechanisms, including rupture, damage, and borehole deformation, revealing the coupling mechanism between moisture content and cuttings generation. This study provides a theoretical foundation for evaluating rockburst hazards in water-rich coal seams through the drilling cuttings method, particularly relevant to mines in the Inner Mongolia—Shaanxi region.

Key words： mining engineering rockburst drilling cutting method water-bearing coal mass triaxial loading and unloading drilling experiment acoustic emission signal processing

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	ZHU Guang?an
	WANG Yi
	XU Zihao

Cite this article:

ZHU Guang?an,WANG Yi,XU Zihao. Inversion of equivalent drill cuttings volume of water-bearing coal mass based on acoustic emission signal processing in mining engineering#br#[J]. , 2025, 44(8): 2040-2054.

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https://rockmech.whrsm.ac.cn/EN/10.3724/1000-6915.jrme.2025.0080 OR https://rockmech.whrsm.ac.cn/EN/Y2025/V44/I8/2040

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