雷顺,高富强

• 1:煤炭科学研究总院开采研究分院
• 2:中煤科工开采研究院有限公司
• 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)

摘要(Abstract)：

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。

关键词(KeyWords)： 煤样;弹性模量;变形;孔隙率;泊松比;关联模型

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金面上资助项目(51774185)

作者(Author): 雷顺,高富强

DOI: 10.13532/j.jmsce.cn10-1638/td.20210820.002

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