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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摘要针对富水条件下钻屑泥化成团无法准确反映煤体真实应力状态的问题，开展不同含水率煤体真三轴加卸载钻进试验，通过对钻进过程中采集的声发射信号进行去噪、特征提取及定位分析，深入分析不同含水煤体钻进过程中的力学响应及其空间损伤特征，为当量钻屑量反演提供理论支撑。研究结果表明：（1）引入VMD-ICA和Fast-AIC算法，实现声发射信号中的噪声有效分离与关键信息的准确提取；（2）运用XG-Boost机器学习算法，精准识别不同含水率煤体损伤位置；（3）基于最小二乘法拟合的损伤椭球体，在真三轴钻进条件下表征损伤特征效果最佳；（4）依据富水煤层当量钻屑量重构原理，定量分析煤体破裂、损伤及钻孔变形过程中产生的钻屑量，揭示煤体含水率与钻屑量的耦合规律。研究结果可为蒙陕地区富水冲击地压矿井钻屑法评价冲击危险提供重要理论依据。

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	朱广安
	王铱
	徐自豪

关键词 ：采矿工程, 冲击地压, 钻屑法, 含水煤体, 三轴加卸载钻进试验, 声发射信号处理

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

引用本文:

朱广安，王铱，徐自豪. 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[J]. 岩石力学与工程学报, 2025, 44(8): 2040-2054.
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#. , 2025, 44(8): 2040-2054.

链接本文:

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

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