Evaluation of potentiality of coal bump hazard in underground coal mines through numerical modelling and binary logistic regression approach with field validation

IF 3.7 2区 工程技术 Q3 ENGINEERING, ENVIRONMENTAL
Raja Sabapathy, Prabhat Kumar Mandal, Partha Sarathi Paul, Arka Jyoti Das
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Abstract

Prediction of coal bump is of paramount importance to ensure the safety of underground workplaces, especially for deep-seated coal seams. The occurrence of coal bumps is influenced by various factors, including geological, geotechnical, and operational parameters. Most of the existing indices are developed for intact rock samples at laboratory scale study, which does not represent the rock mass conditions at the field. Moreover, these indices do not consider the effects of different mining operational parameters on the coal bump. In this study, an index of burst energy coefficient has been developed to predict coal bump by considering the intrinsic parameters as well as operation parameters. Based on the developed index, an empirical model has been developed to classify the coal bump as expressed by the probability of its occurrence. A parametric study by numerical modelling is carried out to obtain the stress–strain curve under uniaxial compressive strength testing of coal pillars. It is found that the depth of cover is the most influential parameter of burst energy coefficient vis-à-vis coal bump. Other significant parameters are RMR, w/h ratio of coal pillars and Young’s modulus of roof and coal. The study shows the increase in depth of cover and the presence of strong competent roof strata increase the chances of coal bump. The results of the parametric study are used to develop predictive models for the burst energy coefficient and the probability of coal bump occurrence. The predictive models are validated by the coal bump events at different underground coal mines and by comparing them with an existing index. The uniqueness of the models is their applicability in field conditions rather than laboratory conditions and to classify the coal bump events in terms of probability of occurrence. The predictive models would be easy-to-use tools for coal bump in underground coal mines.

利用数值模拟和二元logistic回归方法评价煤矿井下冲击危险性并进行现场验证
地压预测对保证井下特别是深部煤层的安全生产至关重要。煤堆的发生受多种因素的影响,包括地质、岩土和操作参数。现有的指标大多是针对完整岩样在实验室尺度上的研究而制定的,不能代表现场的岩体状况。而且,这些指标没有考虑不同开采工艺参数对冲击地压的影响。本文提出了冲击能量系数指标,综合考虑冲击的内在参数和运行参数,对冲击地压进行预测。在此基础上,建立了以发生概率表示的地压分类经验模型。采用数值模拟方法进行参数化研究,得到煤柱单轴抗压强度试验的应力-应变曲线。研究发现,煤层覆盖深度是影响-à-vis冲击地压冲击能系数最大的参数。其他重要参数有RMR、煤柱w/h比和顶板与煤的杨氏模量。研究表明,随着覆层深度的增加和强顶板地层的存在,煤涌发生的可能性增大。利用参数化研究的结果,建立了冲击能量系数和地压发生概率的预测模型。通过不同地下煤矿的碰煤事件,并与已有指标进行比较,对预测模型进行了验证。该模型的独特之处在于其适用于现场条件而非实验室条件,并根据发生概率对煤冲击事件进行分类。所建立的预测模型将为地下煤矿地压预测提供一种简便易行的工具。
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来源期刊
Bulletin of Engineering Geology and the Environment
Bulletin of Engineering Geology and the Environment 工程技术-地球科学综合
CiteScore
7.10
自引率
11.90%
发文量
445
审稿时长
4.1 months
期刊介绍: Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces: • the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations; • the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change; • the assessment of the mechanical and hydrological behaviour of soil and rock masses; • the prediction of changes to the above properties with time; • the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.
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