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Semi-empirical model for predicting pot-hole depth in underground coal mining

机译:地下煤矿坑孔深度预测的半实验模型

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Pot-hole subsidence can be induced by extracting underground coal seam at shallow depth and is a matter of great concern. This has been the case in some of the coal mines of South Eastern Coalfields Limited, a subsidiary of Coal India Limited. Many of the old underground coal mines developed by bord and pillar method of mining lying at shallow depth are posing stability concerns to the habitat due to pillar collapse and gallery widening under the creep loading and weathering. This requires a systematic study for developing an in-depth analysis on various parameters which influence pot-hole occurrence and also for formulating suitable predictive models. A study was conducted to analyse the pot-hole subsidence data related to 34 pot-hole cases and develop a semi-empirical model for simulating pot-hole depth. This study was carried out in some of the Indian coal mines during different stages of coal extraction, i.e. development and depillaring. Data analysis indicates that height and width of extraction, thickness of soil and rock layers, weighted density and compressive strength are key contributing parameters for the occurrence of pot-hole subsidence. The predicted results match with the actual pot-hole depth measured in the field, validating the model.
机译:通过在浅景深提取地下煤层可以引起孔孔沉降,这是一个很好的关注。这是煤炭印度有限公司的子公司东南煤田有限公司的一些煤矿。许多由BORD开发的旧地下煤矿和浅埋深度撒谎的柱子方法正在为栖息地构成稳定性问题,由于柱坍塌和蠕变装载和风化下的画廊扩大。这需要系统的研究,用于开发对各种参数的深入分析,这些参数影响漏洞发生的各种参数以及用于制定合适的预测模型。进行了一项研究以分析与34个孔壳壳相关的孔穴沉降数据,并开发用于模拟孔洞深度的半实验模型。本研究在煤炭提取的不同阶段进行了一些印度煤矿,即开发和贫民。数据分析表明,萃取的高度和宽度,土壤和岩石层的厚度,加权密度和抗压强度是罐孔沉降发生的关键贡献参数。预测结果与现场测量的实际孔洞深度匹配,验证模型。

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