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
作 者:雷顺 高富强[1,2,3] LEI Shun;GAO Fuqiang(Coal Mining Branch,China Coal Research Institute,Beijing 100013,China;CCTEG Coal Mining Research Institute,Beijing 100013,China;State Key Laboratory of Coal Mining and Clean Utilization(China Coal Research Institute),Beijing 100013,China)
机构地区:[1]煤炭科学研究总院开采研究分院,北京100013 [2]中煤科工开采研究院有限公司,北京100013 [3]煤炭资源高效开采与洁净利用国家重点实验室(煤炭科学研究总院),北京100013
出 处:《采矿与岩层控制工程学报》2021年第4期47-55,共9页Journal of Mining and Strata Control Engineering
基 金:国家自然科学基金面上资助项目(51774185)。
摘 要:煤体的弹性模量是煤体分类系统的输入参数之一。通过对实验室煤样基础力学参数筛选、挖掘,运用数理统计软件SPSS进行聚类分析,探究煤体各物理力学参数自身分布规律及相互之间的关系,在此基础上采用BP神经网络建立弹性模量关联模型。研究结果表明:煤体弹性模量与孔隙率呈负相关关系,随着孔隙率的变大煤体弹性模量减小,即煤体抵抗弹性变形的能力越低;随着泊松比的升高煤体弹性模量增大,即煤体抵抗变形的能力越强;高弹性能频发大多集中在弹性模量较低、孔隙率中等偏上的重叠区域。此外,按煤体抵抗变形能力分为4级:弱(0~3.6 GPa)、中等(3.6~5.5 GPa)、强(5.5~8.5 GPa)、非常强(8.5~12.8 GPa)。建立了基于煤体基础力学参数预测其弹性模量的关联模型以评估煤体的变形特征,煤体弹性模量预测值平均误差为6.3%,表明所提出的煤样弹性模量关联模型切实可行,可为煤岩体分类提供参考。The elastic modulus of coal and rock mass is one of the input parameters of coal classification system.Through screening and mining the mechanical parameters of laboratory coal samples foundation,the mathematical statistics software SPSS was used for cluster analysis to explore the distribution law of each physical and mechanical parameter of coal body and the correlation between them.On this basis,the elastic modulus correlation model was established by BP neural network.The results show that there is a negative correlation between the elastic modulus of coal and porosity.As the porosity increases,the elastic modulus of coal decreases.The elastic modulus of coal increases with Poisson's ratio.High elastic energy frequency is mostly concentrated in the overlapping areas with low elastic modulus and medium porosity.The deformation resistance capacity of coal body can be divided into four levels:weak(0-3.6 GPa),medium(3.6-5.5 GPa),strong(5.5-8.5 GPa)and very strong(8.5-12.8 GPa).The correlation model based on the prediction of elastic modulus of coal foundation mechanical parameters was established to evaluate the deformation characteristics of coal mass,and the average error of the prediction value of elastic modulus of coal mass was 6.3%.It shows that the correlation model of elastic modulus of coal sample proposed is feasible and provides guidance for coal rock classification.
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:216.73.216.170