检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]中国矿业大学(北京)资源与安全工程学院,北京100083
出 处:《华北科技学院学报》2015年第3期45-48,共4页Journal of North China Institute of Science and Technology
基 金:国家自然科学基金资助项目(51274206);中央高校基本科研业务费专项资金资助项目(2010YZ05)
摘 要:为了探究煤的坚固性系数(f值)的影响因素,得到精确的煤与瓦斯突出预测指标,采集了不同矿区的相关数据,从实验影响因素与自然影响因素两方面对f值进行了分析,并建立f值与各自然影响因素之间的预测模型。结果表明:(1)f值受煤体破坏类型、变质程度、水分、灰分等自然影响因素影响。其中破坏类型与变质程度对f值的影响作用是通过改变煤体比表面大小来实现的。(2)比表面积与f值负相关;水分、灰分与f值正相关。各影响因素与f值呈现一定的线性关系。(3)根据各个影响因素与f值之间关系建立了预测模型,并以焦煤九里山矿为例验证了模型的准确性。To explore the influence factors of coal consistent coefficient and get accurate prediction index of coal and gas outburst , experimental factors and natural factors of coal consistent coefficient were analyzed , and then prediction model of coal consistent coefficient and uncontrollable factors was built .The results show that:( 1 ) Coal consistent coefficient is influenced by failure types , metamorphic grade , moisture and ash content of coal.The influence of failure types and metamorphic grade on coal consistent coefficient is realized by chan -ging specific surface area of coal .(2) specific surface area is negatively correlated with consistent coefficient , while moisture and ash content is positively correlated with consistent coefficient .These influence factors are linear correlation with consistent coefficient .(3)Based on the linear correlation between influence factors and consistent coefficient , prediction model is built , and the accuracy of prediction model is verified by using the data of Jiulitai coal mine of Shanxi Coking Coal Group .
分 类 号:TD713.1[矿业工程—矿井通风与安全]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222