The bolt support quality of coal roadways is one of the important factors for the efficiency and security of coal production. By means of a self-developed technique and equipment of random non-destructive testing, non...The bolt support quality of coal roadways is one of the important factors for the efficiency and security of coal production. By means of a self-developed technique and equipment of random non-destructive testing, non-destructive detection and pre-warning analysis on the quality of bolt support in deep roadways of mining districts were performed in a number of mining areas. The measured data were obtained in the detection instances of abnormal in-situ stress and support invalidation etc. The corresponding relation between axial bolt load variation and roadway surrounding rock deformation and stability was summarized in different mining service stages. Pre-warning technology of roadway surrounding rock stability is proposed based on the detection of axial bolt load. Meanwhile, pre-warning indicators of axial bolt load in different mining service stages are offered and some successful pre-warning cases are also illustrated.The research results show that the change rules of axial bolt load in different mining service stages are quite similar in different mining areas. The change of axial bolt load is in accord with the adjustment of surrounding rock stress, which can consequently reflect the deformation and stability state of roadway surrounding rock. Through the detection of axial bolt load in different sections of roadways, the status of real-time bolt support quality can be reflected; meanwhile, the rationality of bolt support design can be evaluated which provides reference for bolting parameters optimization.展开更多
为了对地铁隧道围岩质量进行合理的等级评价,针对围岩质量评价指标的多样性及复杂性等特点,引入直觉模糊集和逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)耦合模型对地铁隧道围岩质量...为了对地铁隧道围岩质量进行合理的等级评价,针对围岩质量评价指标的多样性及复杂性等特点,引入直觉模糊集和逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)耦合模型对地铁隧道围岩质量进行了等级评价。首先依据相关规范及参考文献,选取围岩质量评价指标并确定质量分级标准,构建科学合理的评价指标体系;然后利用粗糙集优化的层次分析法和直觉模糊熵组合赋权,并建立基于直觉模糊-TOPSIS耦合法的围岩质量等级评价模型;最后将该模型应用于某地铁隧道工程,得到隧道围岩质量评价结果。与不同评价模型的结果进行比较,并结合现场实测结果,验证了该评价模型的准确性,可为工程围岩质量等级评价提供新的参考方法。展开更多
基金the State Key Research Development Program of China(No.2016YFC0600705)the Fundamental Research Funds for the Central Universities(No.2015XKZD06)+1 种基金the National Natural Science Foundation of China(Nos.51227003,51404250,51504243,51474215,51404262 and 51323004)the Natural Science Foundation of Jiangsu Province,China(Nos.BK20150191 and BK20140213)
文摘The bolt support quality of coal roadways is one of the important factors for the efficiency and security of coal production. By means of a self-developed technique and equipment of random non-destructive testing, non-destructive detection and pre-warning analysis on the quality of bolt support in deep roadways of mining districts were performed in a number of mining areas. The measured data were obtained in the detection instances of abnormal in-situ stress and support invalidation etc. The corresponding relation between axial bolt load variation and roadway surrounding rock deformation and stability was summarized in different mining service stages. Pre-warning technology of roadway surrounding rock stability is proposed based on the detection of axial bolt load. Meanwhile, pre-warning indicators of axial bolt load in different mining service stages are offered and some successful pre-warning cases are also illustrated.The research results show that the change rules of axial bolt load in different mining service stages are quite similar in different mining areas. The change of axial bolt load is in accord with the adjustment of surrounding rock stress, which can consequently reflect the deformation and stability state of roadway surrounding rock. Through the detection of axial bolt load in different sections of roadways, the status of real-time bolt support quality can be reflected; meanwhile, the rationality of bolt support design can be evaluated which provides reference for bolting parameters optimization.
文摘为了对地铁隧道围岩质量进行合理的等级评价,针对围岩质量评价指标的多样性及复杂性等特点,引入直觉模糊集和逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)耦合模型对地铁隧道围岩质量进行了等级评价。首先依据相关规范及参考文献,选取围岩质量评价指标并确定质量分级标准,构建科学合理的评价指标体系;然后利用粗糙集优化的层次分析法和直觉模糊熵组合赋权,并建立基于直觉模糊-TOPSIS耦合法的围岩质量等级评价模型;最后将该模型应用于某地铁隧道工程,得到隧道围岩质量评价结果。与不同评价模型的结果进行比较,并结合现场实测结果,验证了该评价模型的准确性,可为工程围岩质量等级评价提供新的参考方法。
