摘要
分析颗粒流模型中宏细观参数的关系,可为细观参数的匹配提供依据。以平行黏结模型作为基本模型,以单轴压缩数值试验作为宏观参数测试方法,对数值试验进行正交设计,采用多因素方差分析研究细观参数对宏观参数的影响。结果表明:弹性模量E主要受Ec(珔Ec)影响;泊松比γ主要受kn/ks(k珋n/k珋s)影响;单轴抗压强度σn主要受平行黏结强度参数σcn,τcs,SD/Mean影响;μ对宏观强度参数没有显著影响,而对宏观变形参数具有一定影响;RA只对泊松比γ存在一定影响。在此基础上,建立了针对岩石单轴压缩数值试验的细观参数匹配方法。
The analysis of the relationship between macro-parameters and micro-parameters in PFC2D model is very useful to the calibration of micro-parameters in application. The parallel bond model is selected as the basic model and the uniaxial com-pression numerical test is used to obtain the macro-parameters. An orthogonal design is adopted to design the numerical tests and multi-factor analysis of variance is used to analyze the influence of micro-parameters on macro-parameters. The results show that the elasticity modulus is mainly affected by Ec ( E-c ) , the Poisson's ratio is mainly affected by kn/ks ( k-n/k-s ); uniaxial compressive strength is mainly affected byσcn ,τcs and SD/Mean;μhas little influence on macroscopic strength parameters, but influences the macroscopic deformation parameters;and RA only influences Poisson's ratio. On this basis, the matching solution of micro-parameters for rock uniaxial compression numerical test is established.
出处
《人民长江》
北大核心
2015年第16期53-57,71,共6页
Yangtze River
关键词
岩石单轴压缩数值试验
宏观参数
细观参数
正交设计
方差分析
颗粒流模型
rock uniaxial compression numerical test
macro-parameter
micro-parameter
orthogonal design
analysis of variance
PFC2D model