河南理工大学学报（自然科学版）2025，Vol.44Issue(3)：1-11,11.DOI:10.16186/j.cnki.1673-9787.2024110015
超大采高工作面煤壁稳定性分析及片帮预测研究
Stability analysis and rib spalling prediction of coal wall in ultra-high mining working faces
摘要
Abstract
Objectives The problem of coal wall rib spalling in ultra-high mining height working faces was addressed.Methods The mechanism of rib spalling was studied through theoretical analysis and field mea-surements.Numerical simulations were conducted to model coal wall failure under different mining height conditions.The relationship between mining height,support pressure,and rib spalling was analyzed.Ma-chine learning methods were applied to predict rib spalling based on field data.Several prediction models were compared to select the most optimal one.Results It was found that rib spalling occurred mainly in the middle and upper parts of the coal wall.As mining height and support pressure increased,rib spalling wors-ened.A stability coefficient formula for rib spalling was derived.It was found that the stability coefficient increased with the increase of the roof pressure and mining height.Numerical simulations showed that as mining height increased from 6m to 10 m,the degree of coal wall fragmentation and rib spalling depth in-creased significantly,and the depth of rib spalling reached the peak point when the roof was pressed.Data analysis revealed that rib spalling resulted from the interaction between the coal wall,hydraulic supports,and the roof.Finally,maintaining proper support height and sufficient hydraulic support force was critical to reduce rib spalling risk.Machine learning methods were applied to predict rib spalling.Among the com-mon machine learning algorithms,the KNN method achieved the highest prediction accuracy,77.46%.However,the prediction accuracy of current machine learning methods still required improvement.Conclu-sions The mechanism of rib spalling in ultra-high mining height working faces was revealed.A new ap-proach to predicting rib spalling was proposed.As mining height and roof pressure increased,the risk of rib spalling grew.Machine learning methods could effectively predict rib spalling risks,providing theoreti-cal support and technical assurance for the safe operation of ultra-high mining height coal mines.关键词
超大采高工作面/煤壁片帮/稳定性分析/机器学习/片帮预测Key words
ultra-high mining height working face/coal wall rib spalling/stability analysis/machine lear-ning/rib spalling prediction分类
矿山工程引用本文复制引用
任怀伟,刘凯,李建,赵叔吉,韩存地,王龙,李济洋..超大采高工作面煤壁稳定性分析及片帮预测研究[J].河南理工大学学报（自然科学版）,2025,44(3):1-11,11.基金项目
国家自然科学基金资助项目(52274207) （52274207）
